Dr. Vidya H. A. is Head of the Department, Electrical and Electronics Engineering of Amrita School of Engineering, Bengaluru Campus. She has previously served at different positions in the Global Academy of Technology, Bangalore, BNM Institute of Technology, Bangalore and KVG College of Engineering, Sullia. She has about 23 years of experience in teaching, 18 years of experience in research and 5 years of experience in administration. She has guided four students for their Ph.D. programs and one student for her MSc. Engineering by Research under Visvesvaraya Technological University, Belagavi. She has successfully completed the Research Project under VTU Research grant scheme for a project entitled “Real-Time Detection, Measurement and Classification of Power Quality Disturbances using GUI and DSP Applications” during 2010-13. She is a member of the Editorial Board for “International Journal of VTU, for the Department of Electrical and Electronics Engineering and E & C Engineering Sciences”. She is a reviewer for IEEE Access and IEEE conferences. Currently, she is the Secretary of IEEE Power and Energy Society (IEEE PES), Bangalore Chapter and Treasurer, Indian Society of Lighting Engineers, Karnataka State Centre (ISLE-KSC).

Education

  • 2009: Ph.D., Electrical Sciences
    Visvesvaraya Technological University, Belagavi
  • 2001: M.Tech., Computer Applications in Industrial Drives
    Visvesvaraya Technological University, Belagavi
  • 1996: BE, Electrical & Electronics Engineering
    Mysore University

Professional Appointments

Year Affiliation
April 22, 2021 - Till Date Professor & HoD, Dept. of EEE, Amrita School of Engineering, Bangalore
March 1, 2018 - April 20, 2021 Professor, Dept. of EEE, Global Academy of Technology, Bangalore
January 18, 2016 - February 28, 2018 Professor & HoD, Dept. of EEE, Global Academy of Technology, Bangalore
January 4, 2013 - January 16, 2016 Professor & HoD, Dept. of EEE, BNM Institute of Technology, Bangalore
August 1, 2008 - January 3, 2013 Professor, Dept. of EEE, BNM Institute of Technology, Bangalore
August 1, 2005 - July 31, 2008 Assistant Professor, Dept. of EEE, BNM Institute of Technology, Bangalore
August 22, 2003 - July 31, 2005 Lecturer, Dept. of EEE, BNM Institute of Technology, Bangalore
September 18, 1997 - June 24, 2003 Lecturer, Dept. of EEE, KVG College of Engineering, Sullia, Dakshina Kannada

Research Experience

Guided: One candidate for M.Sc (Engg.,) by Research, & Four candidates for Ph.D. under VTU, Belgaum.

Proposal: Planning to establish “R & D Centre and Centre of Excellence on Lighting Engineering” in association with Indian Society of Lighting Engineers, Karnataka State Centre (ISLE-KSC) and other reputed Lighting Industries.

Project Grants:

  • Successfully completed the Research Project entitled “Real Time Detection, Measurement and Classification of Power Quality Disturbances using GUI and DSP Applications” during 2010-13 under VTU Research grant scheme.

Worked on the following Key Research Topics:

  • Denoising of Partial Discharge Signals using Wavelet Transformation Techniques.
  • Modelling and Design of Single Phase and Three Phase Bi-Directional AC/DC Converter for Power Quality Improvement using FPGA Real Time Controller.
  • The Mathematical Modelling and Power Quality Improvement for Industrial Furnaces.
  • Hybrid Intelligent System for Detection, Location and Classification of Partial Discharge Signals.
  • Denoising of Partial Discharge Signals using Adaptive Thresholding based on Statistical Parameters.
  • Probabilistic Neural Network (PNN) & Support Vector Machine (SVM) based Dissolved Gas Analysis of Transformer.
  • Detection, Analysis and Mitigation of Power Quality Issues in Railway Traction Systems.
  • Modelling and Designing of Converters for Power Quality Improvement for Real Time Applications of Hybrid Power Systems.

Major Research Interests

  • Power Quality Analysis and Mitigation Techniques in Power System,
  • Signal Processing, and
  • High Voltage Engineering.

Membership in Professional Bodies

  • IEEE Senior Member,
  • Fellow Institute of Engineers (FIE),
  • Fellow Life Member Indian Society of Lighting Engineers (FISLE), and
  • Member of Indian Society for Technical Education (MISTE).

Awards/Achievements

  • 1st Rank in M.Tech.
  • “Outstanding Chapter Volunteer Award - 2019”, IEEE Power & Energy Society (IEEE PES), Bangalore Chapter.
  • “Best Supporting HOD”, M/s PRINSTON SMART ENGINEERS, 2017.
  • “Best Alumni (Centenary)”, Government School, Nidasale, Kunigal Taluk, Tumkur District, 2015.
  • Member of Doctoral Committee, BOE & BOS for many Universities.
  • Member, EXECOM, IEEE Power & Energy Society (IEEE PES), Bangalore Chapter for the years 2016, 2017,2018,2019, 2020, & 2021.
  • SAC Chair, IEEE Power & Energy Society (IEEE PES), Bangalore Chapter for the years 2019 & 2020.
  • Member, Editorial Board, International Journal of VTU for Department of Electrical and Electronics Engineering and E & C Engineering Sciences for the academic year 2018-19, 2019-20, & 2020-21.
  • Secretary, IEEE Power & Energy Society (IEEE PES), Bangalore Chapter, 2021.
  • Treasurer, Indian Society of Lighting Engineers, Karnataka State Centre (ISLE-KSC), 2020-2023.

Publications

Publication Type: Journal Article

Year of Publication Title

2021

A. Kumar and Vidya H. A., “Transformer Incipient fault prediction using Support Vector Machine (SVM) ”, Journal of University of Shanghai for Science and Technology (JUSST), vol. 23, no. 5, pp. 737-744, 2021.[Abstract]


Power transformer is an important link in power system. Utilities will face a huge loss if a fault occurs transformer. The outage can cause loss to industry sector. Transformer incipient fault can be predicted using Dissolved Gas Analysis (DGA) based on gas ratios. The current work is an effort to use SVM to predict transformer incipient fault more precisely. DGA data of various transformer oil samples were collected and analyzed to select the best SVM kernel function and kernel factor to be used and to observe the prediction accuracy.

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2020

A. Kumar and Vidya H. A., “Application of k-Nearest Neighbor (kNN) Machine Algorithm for Transformer Fault Classification”, International Journal of Advanced Science and Technology, vol. 29, pp. 8441-8448, 2020.[Abstract]


Power transformer forms a very important link in the power system. A fault in transformer can cause a huge loss to the utility and consumer depending on the duration of the outage. Dissolved Gas Analysis (DGA) acts as a key tool to diagnose transformer fault based on gas ratios. In this paper an effort to predict Power transformer fault more precisely using kNN algorithm has been made. DGA data of various transformer oil samples were collected and analyzed to select the best kNN algorithm to be used and to observe the prediction accuracy.

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2020

Ruma Sinha, Vidya H. A., and Jayachitra G., “Design and Simulation of Hybrid Power Filter for the Mitigation of Harmonics in Three Phase Four Wire System Supplied with Unbalanced Non-linear Load”, International Journal of Advanced Science and Technology (IJAST), Science & Engineering Research Support soCiety (SERSC), ISSN (Online) 2207-6360, vol. 29, no. 04, p. 8850 -, 2020.[Abstract]


In several applications high power loads connected with three-phase four-wire systems are unbalanced and non-linear. This load unbalance causes the system to draw unbalanced current from the supply which is rich in harmonic content. This paper investigates a controller design strategy with shunt active power filters applied to an unbalanced non linear load for the compensation of current harmonics and reactive power. The paper analyses the harmonic content in source and load current using MATLAB SIMULINK for a three phase 4 wire system connected with unbalanced non-linear load. Simulation studies have been carried out with a passive filter, shunt active filter and a hybrid filter. It has been observed that with the connection of hybrid passive-shunt active filters the harmonic distortion could be brought within the permissible limit for both load and the source current.

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2020

Champa P. N. and Vidya H. A., “Cascaded Multilevel Inverter Topology with SPWM and Selective Harmonic Elimination Modular Techniques-A Review”, International Journal of Engineering Research in Electrical and Electronic Engineering, Impact Factor 3.784. ISSN (Online), vol. 7, pp. 2395-2717, 2020.[Abstract]


In the recent decades Multilevel inverters have been attracted the wide interest of researcher as well as industry for high-power and medium-voltage control. Additionally, they can combine switched waveforms with lower levels of harmonic distortion compared with the conventional two-level converter. The multilevel model is used to decrease the harmonic distortion in the output waveform without decreasing the inverter output power. This paper presents the most important popular topologies like diode-clamped or neutral point clamped inverter, flying capacitor or capacitor-clamped inverter, and cascaded H bridge multilevel inverter. Most commonly used modulation technique such as Sinusoidal, Modified and Random Pulse Width Modulation, Third harmonic injection, Space Vector Pulse Width Modulation Technique (SVPWM), Delta Modulation, Selective Harmonic Elimination (SHE) and Wavelet Modulation Technique (WM) are discussed and a review on CCHMLI with most frequently used control techniques such as SPWM and SHE methods are discussed enabling improvement in technology in both industry and research areas

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2019

Venkatesha K. and Vidya H. A., “Practical Realization of Three Phase Buck AC Converter Feeding Three Phase Star Connected RL Load using FPGA Real Time Controller”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol. 8, no. 8, 2019.

2019

Priyashree S. and Vidya H. A., “Harmonic Reduction Analysis for Electric Arc Furnace using Passive Filters and DSTATCOM”, International Journal of Engineering and Advanced Technology (IJEAT), vol. 8, no. 6, 2019.[Abstract]


The Industrial furnaces are used globally for wide range of applications from lab scale to complete production lines. They provide continuous high temperatures of 300°C to 3000°C with precise control of temperature and material flow to ensure consistent and uniform output. The furnace operators that deliver at higher efficiencies are prone to power supply system challenges with greater potential for power quality implications on supply system. Hence such operators of high intensity power furnaces should consider design and development of appropriate mitigation techniques to upgrade the power supply quality. In this paper the mitigation of harmonics in Electric Arc Furnace is dealt with suitable passive filter and DSTATCOM techniques. Also, the performance analysis of Electric Arc Furnace has been carried out with MATLAB/SIMULINK based model using Sinusoidal pulse width modulation, hysteresis and the sliding mode controllers.

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2018

Priyashree S., Vidya H. A., Sumathi S., and Triveni M. T., “Wavelet Based Power Quality Analysis of Induction Furnace using Fuzzy Expert System”, International Journal of Scientific Research and Review, vol. 7, no. 4, 2018.[Abstract]


This paper presents the analysis of harmonic reduction in an induction furnace using wavelet transform technique. Some of the significant evaluation parameters considered includes total harmonic distortion, percentage of reduction in peak amplitude, mean square error, signal to noise ratio and wavelet energy coefficients. Fuzzy based expert system is formulated to analyse the accuracy rate of the existing wavelet technique

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2017

Priyashree S., Vidya H. A., and Harshithananada B., “Comparitive Analysis of Hysteresis and Sliding Mode Controllers for Effective Reduction of Harmonics in Electric Arc Furnace using APF”, International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE), vol. 5, no. 4, 2017.

2017

Jayachitra G., Vidya H. A., Kushal H. N., Giridhar R., Pavan Kumar H. M., and Santhosh K., “Solar and Wind Powered Hybrid Energy Vehicle”, International Journal of Scientific Development and Research (IJSDR), vol. 2, no. 8, 2017.[Abstract]


Energy crisis and pollution caused by vehicle emissions are one of the most important issues in the present society. Due to the charging time of battery of electric vehicle, requirement of charging on board is explored as option. This paper deals with the design of a hybrid model of a solar and wind, which uses the battery as its storage system. This system allows the two sources to supply the load separately or simultaneously depending on the availability of the energy sources. The power generated from the wind and solar is fluctuating in nature. The system obtains maximum solar energy during day time and maximum wind energy during the night because the wind blows more at night compared to day time. Therefore battery of the vehicle can be charged by using hybrid energy system.

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2016

Venkatesha K. and Vidya H. A., “Analysis of Symmetrical & Asymmetrical PWM Based Three Phase AC to AC Converter for Power Quality Improvement”, International Journal of Research in Engineering and Technology (IJRET), vol. 5, no. 8, 2016.

2016

Vidya H. A. and Venkatesha K., “Analysis of Symmetrical & Asymmetrical PWM Based Single Phase AC to AC Converter for Power Quality Improvement”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (IJAREEIE), vol. 5, no. 9, 2016.

2013

Venkatesha K., Vidya H. A., and G. Vijaykumar, “Closed Loop Single Phase Bidirectional AC to AC Buck Boost Converter for Power Quality Improvement”, International Journal of Engineering Research and Development (IJERD), e-ISSN: 2278-067X, p-ISSN:2278-800X, vol. 7, no. 11, 2013.[Abstract]


A closed loop bidirectional ac to ac buck boost converter circuit using power MOSFET is analyzed for reducing the output voltage sag and improving efficiency of the converter. The regenerative dc snubbers are used directly to power semiconductor switches to absorb energy stored in stray line inductances. These dc snubbers enhance the conversion efficiency as it has very simple structure consisting only of a capacitor. A fast response peak voltage detector for fast output voltage control is also proposed. It is observed from the simulation results obtained using MATLAB simulink, that the proposed closed loop scheme gives good dynamic and steady state performances with a high-quality output voltage, improved power factor, low harmonics, improved efficiency and significant reduction of the filter size.

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2013

Vidya H. A., Venkatesha K., Priyashree S., and Vijay Kumar G., “Analysis and Mitigation of Harmonics in Non-Linear Loads using Passive Filters and Wavelet Transforms”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (IJAREEIE), vol. 2, no. 12, 2013.[Abstract]


The increased use of non- linear loads has created more distortions in current and voltage waveforms. This further introduces harmonics in the power network and leads to deterioration of power quality [1]. In this paper, the harmonic producing loads like three phase induction motor, personal computer and ceiling fan are analysed. Measurements are further carried out using power quality analyser to evaluate the total harmonic distortion (THD) of voltage and current. Passive filter is designed to eliminate harmonics, further wavelet transforms are applied to diagnose and mitigate harmonics in both time and frequency domain. Results are compared, wavelet transform method exhibits better results

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2011

Vidya H. A., Bindiya Tyagi, V. Krishnan, and K. Mallikarjunappa, “Removal of DSI and Periodic Pulse Shaped Interferences from Corona and PD Pulses using Wavelet Transform ”, TELKOMNIKA (Indonesian Journal of Electrical Engineering), vol. 9, no. 1, 2011.[Abstract]


It is essential to detect partial discharge (PD) as a symptom of insulation breakdown in high voltage (HV) applications. However accuracy of such measurement is often degraded due to the existence of noise in the signal. Wavelet Transform (WT) seems to be more suitable than traditional Fourier Transform in analyzing signals with interesting transient information such as partial discharge (PD) signals. In this paper a WT method with soft thresholding is used for signal denoising. PD signals and corona obtained from actual measurements with different voltage magnitudes are processed. Processed signals show the better result.

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2010

Vidya H. A., Venkatesha K., V. Krishnan, and K. Mallikarjunappa, “Some Investigations on Denoising of Partial Discharge Signals using Wavelet Transform”, International Journal of Electrical Engineering and Electrical Systems (IJEEES), Exclusive Edition 2010 of IJEEES, 2010.

2008

Vidya H. A., V. Krishnan, and K. Mallikarjunappa, “Digital Measurement of Partial Discharges”, IETECH (International Engineering & Technology) Journal for Electrical Analysis, vol. 2, no. 4, 2008.

Publication Type: Conference Paper

Year of Publication Title

2021

Ruma Sinha and Vidya H. A., “Power Quality Improvement of Railway Traction System using D-STATCOM”, in Springer International Conference on Renewable Technologies in Engineering (ICRTE-21), Manav Rachna Educational Institutions, Delhi, India, April 15-16, 2021.

2021

Jayachitra G., Vidya H. A., and Ruma Sinha, “Mitigation of Harminics using Passive-Series Active-Hybrid Filter in Single Phase and Three Phase System Feeding Non-linear Load”, in Springer International Conference on Renewable Technologies in Engineering (ICRTE-21), Manav Rachna Educational Institutions, Delhi, India, April 15-16, 2021.

2020

Vidya H. A., Pooja Reddy B. V., Pallavi V., Khauser Bee S., and Tejashwini S., “Mitigation of Harmonics at the AC Mains Connected to Nonlinear Loads using Hybrid Power Filters”, in 2020 IEEE Bangalore Humanitarian Technology Conference (B-HTC), 2020.[Abstract]


This paper describes the modelling, analysis, and mitigation of power-quality problems caused by nonlinear loads connected to supply. Hybrid filters can be developed using one, two or three passive and active filters either to improve the performance or to reduce the cost of the system compared with single active or passive filters. An improved and low-cost sensor technology is also responsible for reducing the cost and improving the response of Hybrid Power Filters (HPFs). This work studied the power-quality problems caused by AC voltage controller with resistive load and series RL load as nonlinear loads using MATLAB Simulink and proposed hybrid power filters to mitigate the power-quality issues.

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2017

A. Kumar, Vidya H. A., and G. Balagopal Reddy, “Modified fuzzy logic technique for power transformer fault prediction”, in 2017 International Conference on Smart grids, Power and Advanced Control Engineering (ICSPACE), 2017.[Abstract]


Power transformer forms a very important link in the power system. A fault in transformer can cause a huge loss to the utility and consumer depending on the duration of the outage. Dissolved Gas Analysis (DGA) acts as a key tool to diagnose faults in transformer based on gas ratios. In this paper an effort to predict Power transformer fault more precisely using modified fuzzy logic technique has been attempted. DGA data of various transformer oil samples were collected and analyzed to prove that the modified fuzzy logic technique provides a better accurate prediction.

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2017

B. Harshithananda, S. Priyashree, and Vidya H. A., “Mitigation of harmonics using hysteresis control technique of VSI based active power filter”, in 2017 International Conference on Smart grids, Power and Advanced Control Engineering (ICSPACE), 2017.[Abstract]


The rapid growth in the usage of non-linear loads such as Electric Arc Furnace (EAF), Induction motors etc. affects the power quality in the system. Some of the major power quality problems in the distribution system are voltage flickers, harmonics, power loss etc. In this paper a time domain model of EAF is proposed and designed, which uses an Active Power Filter (APF) for injection of current in the distribution system. PI controller and Hysteresis controller has been designed in this paper for control of APF. The performance of APF based EAF model is proposed and analyzed for three phase system and verified by the simulation in MATLAB/SIMULINK for.

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2017

S. Madhu, S. Sumathi, and Vidya H. A., “Preprocessing of experimental partial discharge signalsin insulation samples using adaptive signal processing”, in 2017 International Conference on Smart grids, Power and Advanced Control Engineering (ICSPACE), 2017.[Abstract]


The pre-processing of the Partial Discharge (PD) signal is very important and crucial stage in analyzing condition of the electrical insulation. The PD information is lost in the presence of various noises. The wavelet based adaptive Thresholding de-noising techniques are well suited for reducing the noise. This paper considers the various adaptive thresholding techniques such as Heursure, Minimaxi, VisuShrink, SureShrink, thresholding methods for denoising of the PD signals obtained in various insulation samples using the experimental setup. The PD pulses produced by the insulation samples were detected in the form of discharges through the impedance and is fed through a cable to the PD detector along with a amplitude modulating signal. The developed Wavelet Transform based adaptive thresholding algorithm suitably removes the interferences from the measured PD signals. The performance indices are evaluated which justifies the strength of the algorithm in denoising of experimental PD data.

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2017

S. Sumathi, S. Madhu, and Vidya H. A., “A novel approach for partial discharge pattern recognition based on FP3CM-ENN”, in 2017 International Conference on Smart grids, Power and Advanced Control Engineering (ICSPACE), 2017.[Abstract]


Partial Discharge (PD) pattern recognition is a main tool for assessing the insulating ability of high voltage (HV) equipment. A new PD identification method found on the fuzzy-possibilistic product partition c-means (FP3CM) - extension neural network (ENN) for HV equipment is proposed in this paper. A PD detector is familiar to assess the PD patterns. The Statistical feature extraction method is adapted to take out the features for every PD pattern. This advanced method combines the FP3CM clustering algorithm with the ENN architecture. The FP3CM is framed by the product of probabilistic and possibilistic fuzzy partitions instead of linear combination. This clustering model produces very accurate partitions in the existence of noise data. The centers of the FP3CM are used as the initial centers of the ENN. The FP3CM-ENN algorithm adopts extension distance to compute the resemblance among tested data and cluster centers. This proposed FP3CM-ENN algorithm procures the benefit of high precision, robustness and less memory consumption, that are helpful in PD recognition. To verify the efficacy of the suggested method, similar studies with a MLP, ENN, fuzzy c means (FCM) - ENN, Possibilistic FCM (PFCM) - ENN are carried out for different samples with rather encouraging results.

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2017

K. Venkatesha, Vidya H. A., Ruma Sinha, and G. Jayachitra, “Experimental analysis of symmetrical amp; asymmetrical PWM based single phase AC chopper for power quality improvement using FPGA real time controller”, in 2017 International Conference on Smart grids, Power and Advanced Control Engineering (ICSPACE), 2017.[Abstract]


A 1-phase AC chopper circuit is rigged up and analyzed with single phase induction motor for input power factor, harmonic profile and efficiency of the converter using FPGA real time controller. The various PWM techniques such as symmetrical ramp-DC PWM (SRDPWM), asymmetrical ramp-triangular PWM (ARTPWM), asymmetrical sinusoidal PWM type-1 [ASPWM1] and asymmetrical sinusoidal PWM type-2 [ASPWM2] techniques are generated using FPGA real time controller in order to analyze these electrical parameters. It is observed from experimental results that the SRDPWM technique gives lesser total harmonic distortion [THD] of output voltage and input current than other techniques. It is also observed that the ASPWM1 switching strategy gives high input power factor, more output voltage and high efficiency and moderate improvement of harmonic profile for the entire range of modulation index MI compared to other PWM techniques. Hence ASPWM1 technique is preferred for AC chopper for better input power factor, output voltage, harmonic profile and efficiency of the converter than other techniques that renders easy filteration at lower cost.

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2016

Vidya H. A., Anusha M. E., Chandan S., Narendra Kumar, and Madhukar M., “Design and Implementation of FRESNEL Reflector and Salt Storage for Power Generation using Solar Energy”, in International Conference & Exhibition on “Smart Lighting – The Future”, Vision 2020 by ISLE, Karnataka, November 4-6, 2016.

2015

S. Madhu, H. B. Bhavani, S. Sumathi, and Vidya H. A., “A novel algorithm for denoising of simulated partial discharge signals using Adaptive wavelet thresholding methods”, in 2015 2nd International Conference on Electronics and Communication Systems (ICECS), 2015.[Abstract]


Partial Discharge (PD) signal denoising is very significant in analyzing its characteristics and its effect on high voltage insulation equipments. Mainly, the PD information is lost in the presence of various noises. The wavelet transform provides a better platform for PD signal pre and post processing. The wavelet adaptive thresholding denoising techniques provides a better method to reduce noise. This paper adopts the various adaptive thresholding techniques such as VisuShrink, SureShrink, combination of the two called Heursure and the minimax thresholding which are broadly classified as Global and Local thresholding methods. The algorithm presents the comparative analysis for the selection of optimal wavelet. Once the optimal mother wavelet is chosen, selection of best thresholding rule is identified by comparing the values of signal to noise ratio (SNR), mean square error (MSE) and root mean square error (RMSE) of all the techniques. The algorithm also presents the comparison between Hard and Soft thresholding. It is shown that the soft thresholding is best suited to remove the noise, but weak in preserving the edges and the hard thresholding is best suited for preserving the edges, but weak in denoising the signal. The simulated damped exponential pulse (DEP) and damped oscillatory pulse (DOP) has been used to check the performance of the algorithm.

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2014

K. Venkatesha, Vidya H. A., and Vijay Kumar G., “Selective Harmonic Elimination of 3 Phase Bi-directional AC Buck Converter for Power Quality Improvement”, in International Conference on PEIE-2014 (Power Electronics and Instrumentation Engineering)", Chandigarh, India, March 21-22 , 2014.[Abstract]


A novel three phase bidirectional AC buck converter circuit using power MOSFET is analyzed for input power factor, harmonic profile and efficiency of the converter for power quality improvement. The equal PWM (EPWM) technique is a used to increase number of pulses per half cycle (P) in order to vary these parameters. The rms value of the fundamental component of the output voltage can be increased by varying the duty ratio (K) of the pulses. It is observed from the simulation results obtained using MATLAB/simulink that the proposed scheme using EPWM technique significantly reduces low order harmonics, eliminates certain harmonics for certain values of P, improves input power factor and hence significantly reduces the filter size of the converter.

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2014

Priyashree S., Triveni, and Vidya H. A., “Implementation of Wavelet Transform Technique for Detection & Reduction of Harmonics in an Induction Furnace”, in International Conference on Information Technology and Communication Engg. (ICITCE), Bangalore, July 5, 2014.

2014

Sumathi S., Vidya H. A., and Madhu S., “Fuzzy Logic based Pattern Recognition of Partial Discharge using Statistic Operators”, in International Conference in Computer Science, Electronics and Communication Engineering-ICCECE, Bangalore, July 27, 2014.

2014

Sumathi S., Vidya H. A., and Madhu S., “Level Dependent Wavelet Selection for Denoising of PD Signals Simulated by DEP & DOP Models”, in IACEEE-2014 Bangalore on July 27, 2014.[Abstract]


Wavelet Transform methods are effective for de-noising of partial discharge (PD) signals. Base wavelets are related to distortion of PD signals de-noised by wavelet methods. This paper presents a level dependent wavelet selection scheme for de-noising of PD and called the energy based wavelet selection (EBWS) scheme, because an energy criterion is proposed for the scheme. In the proposed energy criterion, a base wavelet is selected as an optimal base wavelet if it can generate an approximation with the largest energy among all base wavelets for selection at each level. The simulated damped exponential pulse (DEP) and damped oscillatory pulse (DOP) has been used to check the performance of the proposed method. In comparison with the scale independent scheme, the wavelet method, based on the EBWS, generates significantly smaller waveform distortion and magnitude errors in the de-noised PD signals. The results of the tests carried out show clearly that this technique can produce excellent results when applied to simulated PD data

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2014

Madhu S. and Vidya H. A., “PFCM based PD Pattern Recognition using Statistical Operators”, in ISED-2014, 2014.

2013

Vidya H. A., Priyashree S., and Venkatesha K., “Harmonic Analysis and its Elimination in Nonlinear Loads Using Wavelet Transform”, in Proceedings of International Conference on VLSI, Communication, Advanced Devices, Signals & Systems and Networking (VCASAN-2013), India, 2013.[Abstract]


The objective of the electric utility is to deliver sinusoidal voltage at fairly constant magnitude throughout their system. As the load is more nonlinear, complexities also increase since these nonlinear loads produce harmonic currents. These harmonic currents result in voltage and current distortions that can adversely impact the system performance in different ways. With the increase in harmonic producing loads at the installation, severity to address the issue also increases. As an impact of these phenomena, two important concepts are to be borne in mind with regard to power system harmonics. They are harmonic current generated due to nonlinear loads such as computers and printers, and the second is the effect of harmonic currents [1, 2]. In this work, the harmonics generated due to computer and printer is analyzed using power quality analyzer and harmonics are eliminated using wavelet transform.

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2013

Bindiya Tyagi and Vidya H. A., “Application of Wavelet Shrinkage Denoising Method Based on Genetic Algorithm to Partial Discharge Signals”, in Proceedings of International Conference on VLSI, Communication, Advanced Devices, Signals & Systems and Networking (VCASAN-2013), India, 2013.[Abstract]


This paper presents the technique for denoising of partial discharge (PD) signals using genetic algorithm (GA) based on wavelet shrinkage. For the high voltage (HV) equipment in services, it is desired to perform PD tests when the equipment is in operation. The measurements, however, are seriously affected by the interference signals resulting from different sources. In order to enhance the sensitivity of a PD online monitoring system, many digital signal processing methods have been put forward for removal of noises. But to obtain the optimum denoising GA is applied. Here, first, optimum signal-to-noise ratio was obtained using modified wavelet technique (WT), and then, the same was obtained using GA and compared.

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2011

Vidya H. A., Priyashree S., V. Krishnan, and K. Mallikarjunappa, “Denoising of Partial Discharge Signals in Epoxy Glass Mica Sheets using Wavelet Transform”, in International Conference on Computer, Electrical and Systems Sciences, and Engineering, Penang, Malaysia, Feb 22-24, 2011.

2010

Vidya H. A., V. Krishnan, K. Mallikarjunappa, and Bindiya Tyagi, “A Novel Wavelet Method of Denoising Partial Discharge Signals with Different Noise Levels”, in Advances in Energy Conversion Technologies (ICAECT 2010), MIT, Manipal, January 7-10, 2010.

2010

K. Venkatesha and Vidya H. A., “Improved Circuit of Buck Boost AC Chopper for Single Phase Systems”, in Advances in Energy Conversion Technologies (ICAECT 2010), MIT, Manipal, January 10, 2010.

2008

Vidya H. A., V. Krishnan, and K. Mallikarjunappa, “A wavelet transform technique for de-noising partial discharge signals”, in International Conference on Condition Monitoring and Diagnosis (CMD-2008), North China Electric Power University, Beijing, China, April 21-24, pp 1104-07, 2008.[Abstract]


Partial discharge (PD) diagnosis is essential to identify the nature of insulation defects causing discharge. The problem of PD signal recognition has been approached in a number of ways. Most of the approaches are based on laboratory experiments or on signals acquired during off-line tests of industrial apparatus. On-line testing is vastly preferable as the equipment can remain in service, and the operators can monitor the insulation condition continuously. Interferences from noise sources have been a persistent problem, which have increased with the advent of solid-state power switching electronics. Use of wavelet transform technique offers many advantages over conventional digital filters and is ideally suited to process non- stationary signals (transients) often encountered in high voltage testing and measurements. In this paper, an empirical wavelet- based method is proposed to recover PD pulses mixed with excessive noise/interference. A critical assessment of the proposed method is carried out by processing simulated PD signals along with noise signals using MAT LAB software.

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2007

Vidya H. A. and V. Krishnan, “Simulation of Digital Partial Discharge Measurement Circuits”, in 52nd Congress of ISTAM-2007 (an international meet), BNMIT- Bangalore, Paper CG05, Group 5C, December 14- 17, Page No 105, 2007.

2006

Vidya H. A., Pradipkumar Dixit, and H. G. Gopal, “ANN based FFNN Model to Diagnose the State and Quality of Solid Insulation”, in PCEA – IFTOMM, International Conference (PICA-2006) on Recent Trends in Automation and its Adaptation to Industries, PCE&A, Nagpur, India, Paper No. TG 226, Group 2, July 11 – 14, Page No. 77, 2006.

Courses Taught

  • UG: Basic Electrical Engineering, Transmission & Distribution, High Voltage Engineering, Over Voltages in Power Systems, Control Systems, Modern Control Theory, Electrical machine Design, Network Analysis, Object Oriented programming, Digital relays, Advanced Microprocessor, Microcontrollers, Electrical & Electronics Measurements, Logic Design, Signals & Systems, Electromagnetic Field Theory, Digital Signal Processing, Computer organization, Many more.
  • PG: Advanced Digital Signal Processing, Electrical Power Quality, DSP Applications to Drives, Many more.

Keynote Addresses, Invited Talks, and Panel Memberships

  • “Hybrid Electric Drivetrains”, as a resource person for the webinar organized by Department of Electrical & Electronics Engineering, The Oxford College of Engineering, Bengaluru, 15th May 2021.
  • “Electric Vehicles”, as a resource person for guest lecture organized by IEEE Jayamukhi Student Branch, Warangal, 22nd April 2021.
  • “Advancement in Signals & Systems”, as a resource person for guest lecture organized by Department of Electrical & Electronics Engineering, PES Institute of Technology and Management, Shivamogga, Karnataka, 28th December 2020.
  • “Energy storage devices, Capacitors & Ultra capacitors”, as a resource person for AICTE ATAL FDP No. 437 on “Energy Storage & its application”, JNNC, Shimoga, 5th October 2020.
  • “Energy storage systems, Batteries” as a resource person for AICTE ATAL FDP No. 437 on “Energy Storage & its application”, JNNC, Shimoga, 5th October 2020.
  • “Industry-Academia Engagement Post COVID 19” as a panellist for “Industry-Academia Conclave 2020”, IEEE Flagship Event at Amrita School of Engg, Amrita University, Bangalore, 5th August 2020. 
  • “Integration of Renewables to Smart Grid” as a resource person for FDP on “Challenges and Opportunities in Smart grid”, MSRIT, Bangalore, 21st July 2020.
  • “Application of Wavelet Transform to Mitigate the Power Quality Issues” as a resource person for FDP on “Electrical Power Quality and Distributed Generation”, JNNCE, Shivamogga, 17th December 2019.
  • “Power and Energy” as a Research mentor in “Young Researcher’s Meet”, RVCE, Bangalore in association with IEEE Power & Energy Society (PES) Bangalore Chapter, 14th September, 2019.
  • “Application of Wavelet Transformation to Denoise Partial Discharge Signals using MATLAB” as a resource person for “Advance Control Engineering and Simulation using MATLAB and SIMULINK Tools”, AICTE sponsored one-week STTP (26th to 31st August 2019), GCE, Ramanagaram, 27th August 2019.
  • “Dynamics of Industry – Academia Interaction” as a resource person for “Industry Academia Conclave”, NIE Mysore in association with TEQIP and IEEE Power and Energy Society (PES) Bangalore Chapter, 20th July 2019.
  • “Denoising of Partial Discharge Signals using Wavelet Transformation Technique” as a resource person for Six days FDP on “Applications of Advanced Power Electronics for Power Systems, Power Quality and Electric Vehicles (15th to 20th July 2019)”, SJBIT, Bangalore, 17th July 2019.
  • “Academia Perspective”, as resource person for one day workshop on “Industry Conclave (Academia-Industry Interaction)”, DSCE, Bangalore in association with IEEE PES Bangalore Chapter, 18th August 2018.
  • “MATLAB for DSP Applications & SCILAB for Control Systems Applications”, as resource person for three-day workshop on “Applications of MATLAB Simulink & SCILAB for Electrical Sciences”, GAT, Bengaluru, 29th – 31st Jan 2018.
  • “Introduction to MATLAB & Programming on Convolution”, as resource person for two day workshop on “Digital Signal Processing Lab”, RNSIT, Bengaluru, 23rd Jan 2018.
  • “About IEEE & IEEE-PES, Bangalore Chapter”, as Chief guest & resource person for “Young Researchers Meet (YRM 2017)”, MIT, Manipal, 7th Oct 2017.
  • “Mitigation of Interruptions and Voltage Sags”, as resource person for three day workshop on “Power Quality Issues and Mitigations” at PDA, Gulbarga, 25th & 26th Oct, 2016.
  • “Basic Electrical Engineering – Module 2 (DC Machines & Measuring Instruments)”, NPTEL, VTU-EDUSAT Programme – 20, 23rd Feb – 15th March 2016 (9 Hours).
  • “Wavelet Transform Applications in Electrical Engineering”, as resource person for the AICTE sponsored Staff Development programme at Shirdi Sai Engineering College, Bangalore on 02.07.2011.
  • “Recent Advances in Vector Control of Induction Motors”, as resource person for the VTU – VGST sponsored FDP at Shirdi Sai Engineering College, Bangalore on 19.03.2011.
  • Many more.