Qualification: 
Ph.D, M.Tech
r_resmi@cb.amrita.edu

Dr. Resmi R. currently serves as Assistant Professor (SR) at the Department of Electrical and Electronics Engineering, School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore Campus. Her areas of research include Control Systems.

Dr. R. Resmi has joined Amrita School of Engineering in the year 2011. She obtained her B. Tech degree in Electrical and Electronics Engineering in the year 2004 from Calicut University (Government Engineering College, Thrissur) and M. Tech degree in Guidance and Navigational Control in the year 2008 from Kerala University (College of Engineering, Thiruvananthapuram) with First Class –Distinction. She has been awarded with Ph. D from Amrita Vishwa Vidhyapeetahm Deemed to be University, Coimbatore in 2019.

Dr. R. Resmi has started her teaching career in the year 2008. As a part of her research work, she designed and developed Brushless Doubly Fed Induction Generator for wind power generation with a new stator winding configuration which reduces the torque ripple of this Wind Electric Generator into a good extent. In her credit, she has 7 international journals and 9 international/national conference publications. She has delivered  Guest Lecture and Seminar in the area of Power System, Renewable Energy, Electrical Machines, Control Systems, MATLAB and Ansys Maxwell, the design-based Software.

Dr. R. Resmi has organized Workshops and Faculty Development Program in the field of Power System, MATLAB, Ansys Maxwell Software, etc. Currently, she is guiding a number of M. Tech. and B. Tech. students in the area of Power System, Solar radiation prediction using Machine Learning, Wind speed Forecasting and Biomedical Instrumentation.

Publications

Publication Type: Conference Proceedings

Year of Publication Title

2019

J. Jacob, Adarsh, S. R., Ashis, C. K., and Resmi, R., “Miniaturized CPR Feedback device using Arduino and ArdLAB”, 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT). IEEE, Coimbatore, India, India, 2019.[Abstract]


The purpose of this work is to implement a cardiopulmonary resuscitation feedback device to recover a patient from cardiac arrest. This feedback device is implemented using ATMega 328P microcontroller. The force sensitive resistor is used to obtain the pressure applied to the patient's chest while performing chest compressions. Light Emitting Diode is used as an indicator to understand whether the chest compression performed is good or bad. 30 chest compressions make a single chest compression cycle. For each cycle, parameter like heart rate, beats per minute count andthe time rate for a particular cycle are calculated. The prototype is initially implemented in Arduino integrated development environment. The hardware is then extended to MATLAB software. For MATLAB implementation, the parameter found are computed and various graphs are plotted like the heart rate versus cardiopulmonary resuscitation count, beats per minute count versus time and heart rate versus time. From these, it is observed that BPM count decreases with increase in CPR cycle time.

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2019

V. Vanitha, Kavitha, D., Resmi, R., and Pranav, M. S., “Fault classification and location in Three Phase Transmission Lines using Discrete Wavelet Transform”, 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT). IEEE, Coimbatore, India, India, 2019.[Abstract]


Faults in transmission lines have several adverse impacts on the overall health of the power system. Circuit breakers and relays help in isolating the fault and protecting the entire system. Prompt tripping of the circuit breakers is a vital aspect of power system protection, to minimize the extent of damage. This paper presents an efficient algorithm to detect faults, classify the fault type and locate the fault in transmission lines using Discrete Wavelet Transform (DWT) and Travelling Wave Theory (TWT). A two bus system is taken for study and different types of faults are created in the transmission line. Then DWT is applied on faulty current signals to extract detailed coefficients at higher level of decomposition, which in turn are used to classify the fault. For locating the fault, detailed coefficients at first level of decomposition and TWT are used. Results obtained depict the accuracy of the proposed algorithm in classifying and locating the faults in transmission line. Same algorithm is implemented in hardware for LG fault in all the three phases and the results are presented.

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2019

R. Resmi, Venkataraman, V., E, A., B, R., Chandrasekaran, A. Raj, and S, H., “Detection, Classification and Zone Location of Fault in Transmission Line using Artificial Neural Network”, 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT). 2019.[Abstract]


Faults in transmission lines have several adverse impacts on the overall health of the power system. Circuit breakers and relays help in isolating the fault and protecting the entire system. Prompt tripping of the circuit breakers is a vital aspect of power system protection, to minimize the extent of damage. Numerical relays could provide high degrees of accuracy and precision, supported by their powerful processing systems and the wide range of algorithms that could be incorporated. This paper presents an efficient algorithm to detect unsymmetrical faults, classify the fault type and locate the fault zone in transmission lines using Artificial Neural Network (ANN), which could be implemented in numerical relays. The complete system is capable of identifying no-fault condition, the three different line-to-ground faults, line-to-line faults and double line-to-ground faults, and indicating the zone in which the fault has developed. To locate the fault, three zones have been recognized in each transmission line. The same algorithm is implemented in hardware and results are presented.

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2019

V. Venkataraman, Ramesh, N., and Resmi, R., “Hybrid Wind and Solar Based Battery Charging Controller”, 2019 Innovations in Power and Advanced Computing Technologies (i-PACT). 2019.[Abstract]


The growing environmental concerns and the rapid growth in the energy demand, led to an alternative for the currently used conventional energy resources. Renewable energy technology is the best option, but they are uncontrollable and unpredictable in nature, because of which steady output cannot be obtained. This problem can be solved by integrating solar and wind energy sources as they are complement to each other. Nowadays, there is a tremendous increase in the number of electric vehicles which use lithium ion battery. The dependency of these vehicles on grid for their battery charging will lead to the power system instability problem in future. In this paper, a hybrid wind and solar based battery charging system is proposed for charging the electric vehicles. A fused DC-DC converter with fuzzy logic controller is used to charge the battery either with both sources or any one source depending on the availability of solar irradiation and wind. Simulation of the hybrid system is done in MATLAB Simulink and the same system is implemented in hardware using dSPIC30F4011 microcontroller and both results are presented

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2019

V. Vanitha, Raphel, D., and Resmi, R., “Forecasting of Wind power using Variational Mode Decomposition-Adaptive Neuro Fuzzy Inference System”, 2019 Innovations in Power and Advanced Computing Technologies (i-PACT), vol. 1. pp. 1-4, 2019.[Abstract]


According to Central Electricity Regulatory Commission, India, all independent power producers should forecast their generation and submit a report regarding the same to RLDC (Regional Load dispatch Centre). If a deviation occurs between forecasted and actual generated power, the renewable energy operators should give penalty to RLDC. In the wind farm scenario, the wind farm operator should predict the wind power accurately to reduce the risk of uncertainty and penalties. To estimate the wind power precisely, the wind farm operators will depend on commercial forecasting methods. The selection of forecasting method is based on forecasting accuracy, system availability, Lead time etc. The aim of this work is to do wind power forecasting using hybrid VMD- ANFIS (Variational Mode Decomposition-Adaptive Neuro Fuzzy Inference System) in different time horizons. The power data for two years is obtained for a site in Maharashtra having 15 wind turbines, each having a capacity of 800kW. Three evaluation indices such as Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE) and % Revenue loss are calculated for one hour ahead and one day ahead forecasting and results are presented.

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2019

P. P.P, Vanitha, V., and Resmi, R., “Wind Speed Forecasting using Long Short Term Memory Networks”, 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). IEEE, Kannur,Kerala, India, 2019.[Abstract]


Globally, wind power industry is growing very fast, but intermittency of the wind is causing difficulty in integrating wind power to the grid due to issues such as power scheduling, system control and dispatch, voltage regulation and frequency response reserve, energy imbalance etc. So, accurate wind speed prediction is recommended for scheduling the wind power to maintain stability in the power system. In this paper, long short term memory network (LSTM) is proposed for predicting wind speed one hour ahead by clustering the time series data into windy and non-windy months. LSTM model is applied to forecast wind speed for four different sites and results are presented.

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2019

R. Resmi and Shruthi, P., “Path planning for autonomous car”, 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2019. 2019.[Abstract]


The autonomous cars will transform the lifestyle of people by creating an efficient way of driving on roads. The ability to detect and track the stationary or the moving objects is said to be one of the major challenging tasks for decades. The research on object detection seems to be looking for a longterm vision in autonomous cars so that there is a significant enhancement in safety. The object detection is necessary for both day and night facilitating smooth transportation. In this paper, we are analyzing the images. The images classification algorithms are used such as a convolutional neural network (CNN). The algorithms will later be implemented on the graphical processing unit which will lead to the steering of the automobile based on the study of image recognition.

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2019

P. Shruthi and Resmi, R., “Heart Rate Monitoring using Pulse Oximetry and development of Fitness Application”, 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). IEEE, Kannur,Kerala, India, 2019.[Abstract]


In recent days, there is enormous research going on about bio-medical instrumentation along with medicine. In this day and age, one of the crucial parts of one's health is heartbeat or BPM(Beats Per Minute) and it is very important to maintain the staging of the heart rate in the human body. Previously the heartbeat was measured only in the clinics and the hospitals, but now they have eventually found their way into the applications of the mobiles. There is a necessity to build a precise and very cost effective measuring instrument to ensure the calibration of the heart monitoring system all the time. By exploring the various factors that are influencing the abnormal heart rate of people such as the cognitive decline, the symptoms of anxiety and the depression and obesity we can realize the importance of the workout activities in our day to day life. The workout activities of the people in the current life cycle basically include dancing, walking, running and other similar activities. In order to maintain a good lifestyle, we need to keep track of all our day to day workout activities so that we can assess ourselves. Hence various apps are developed for guiding the people to lead a healthier lifestyle. This paper proposes the continuous measurement of heart rate using MAX30102 interfaced with the QtPi Rio board and development of fitness app for encouraging the fitness activities. key words: bio-medical instrumentation, BPM(Beats Per Minute), heart rate, OtPi Rio board.

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2017

J. Srinivasan, Selvaraj, K., Chitrarasu, J., and Resmi, R., “Design and analysis of squirrel cage induction motor in short pitch and full pitch winding configurations using FEA”, Proceedings of IEEE International Conference on Emerging Technological Trends in Computing, Communications and Electrical Engineering, ICETT 2016. Institute of Electrical and Electronics Engineers Inc., 2017.[Abstract]


Squirrel cage induction motors are very popular in industrial and manufacturing process because of its reliability, low cost and rugged construction. In this paper, three phase, 1.1 kW, 500 rpm Squirrel Cage Induction Motor is designed for 12 pole configuration. The performance of the motor due to full pitch and short pitch winding configurations are analysed and the results obtained are compared. Finite element method is used for the analysis and verification. In addition to that, the harmonics of winding current of the motor is compared for both configurations. The analysis is performed using ANSYS MAXWELL software which is a powerful tool to analyse the performance of machines. © 2016 IEEE.

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2017

P. Sahin, Resmi, R., and Dr. Vanitha V., “PMSG based standalone wind electric conversion system with MPPT”, Proceedings of IEEE International Conference on Emerging Technological Trends in Computing, Communications and Electrical Engineering, ICETT 2016. Institute of Electrical and Electronics Engineers Inc., 2017.[Abstract]


Today wind energy has emerged as an alternative energy source for power generation. This paper investigates about standalone Permanent Magnet Synchronous Generator (PMSG) based wind energy conversion system (WECS) with Maximum Power Point Tracking (MPPT). The proposed system comprises of Wind turbine (WT), PMSG, boost converter, uncontrolled diode rectifier, battery bank, bidirectional buck boost converter and dc load. Multi pole PMSG is best suited for low speed, wide range variable speed wind energy applications. Wind flow varies with time; as a result power produced also varies. As maximum power has to be tracked for varying wind speeds, perturbation & Observation (P&O) algorithm is implemented for MPPT. Battery storage system is essential to supply the load during low wind speed condition. In this paper, a simulation study of the proposed standalone system is done using SIMULINK in MATLAB. © 2016 IEEE.

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2014

R. Resmi and Dr. Bala Tripura Sundari B., “Allocation of Optimal Reconfigurable Array using Graph Merging Technique”, International Conference on Embedded Systems (ICES), 2014 . Coimbatore; India, pp. 49-54, 2014.[Abstract]


Inherent parallelism in the nested loop algorithms can be exploited by proposing an array architecture called systolic array and mapping the computational tasks of the algorithm using a suitable mapping methodology on to the array architecture. The computational subspace mapping methodology that identifies a lower dimension subspace of a higher dimensional problem is implemented using the technique of allocation. i.e., the lower dimensional sub-space is chosen to lie along the computational equation. The best computational direction for higher dimensional problem in terms of data reuse, number of ports, number of PEs, memory read is selected by multi-objective functions. A reconfigurable array for n-D nested loop problems is designed by graph merging approach which reduces the area and power compared with reconfigurable array using multiplexers. The algorithms under consideration here are the 3-D matrix-matrix multiplication, 2-D spatial filtering algorithm which is a 4-D nested loop algorithm and 6-D full search block motion estimation. Allocation and scheduling of reconfigurable array is implemented in Verilog HDL and synthesized by RTL behavioral representation using Xilinx ISE Design Suite 12.1. The graph merging approach is validated by the results which show that the area allocated is less for graph merging technique than the reconfigurable array using multiplexers.
Article number 6953049, Pages 49-54, 3 July 2014 through 5 July 2014, Category numberCFP1440Y-ART, Code 109145

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Publication Type: Journal Article

Year of Publication Title

2019

R. Resmi, Vanitha, V., Nambiar, T. N. P., and Sasi K Kottayil, “Design and implementation of brushless doubly fed induction machine with new stator winding configuration”, Wind Engineering, p. 0309524X19868423, 2019.[Abstract]


Brushless doubly fed induction machine has acquired relevance as a wind electric generator because of its relative merits over doubly fed induction generator. However, the main drawback of brushless doubly fed induction machine is the presence of torque ripples due to spatial and time harmonics caused by two stator windings and complex rotor structure. In this article, a special design of brushless doubly fed induction machine using delta-star connection in one of the two stator windings is proposed to reduce the torque ripples. Simulation of the new brushless doubly fed induction machine design is performed in ANSYS Maxwell software, and the results when compared with the conventional winding design validated the effectiveness of the new design in minimizing the torque ripples. Prototype of the new brushless doubly fed induction machine has been fabricated and tested in laboratory. Tests have been conducted in both synchronous and asynchronous modes of brushless doubly fed induction machine. Simple induction and cascade connections have been tested in asynchronous motoring mode. Motoring as well as generating conditions have been tested in synchronous mode. Test results show that the new brushless doubly fed induction machine has not only the desired characteristics for wind turbine generator but also capabilities suited for variable torque–variable speed motor applications as well as constant speed applications.

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2019

R. Resmi and Vanitha, V., “Design and analysis of brushless doubly fed induction machine with 2/6 pole configuration”, International Journal of Innovative Technology and Exploring Engineering, vol. 8, pp. 1967-1972, 2019.[Abstract]


In the recent years, generation of electricity with the help of renewable energy sources has gained more importance because of the minimal environmental impacts. Brushless Doubly Fed Induction Machine (BDFIM) is one of the upcoming machines that can be used in wind power generation, especially in offshore wind farms due to the lack of brushes and slip rings which make the system maintenance free. High torque ripple due to the complex structure of BDFIM is the major problem which prevents commercialization of the machine. In this paper, 3.5 kW Brushless Doubly Fed Induction Machine (BDFIM) is designed for 2/6 pole configuration. The analysis is carried out for all modes of operation of BDFIM using ANSYS MAXWELL software, which is an effective tool to design and analyze electrical machines. The different modes of operation are simple induction mode, cascade induction mode and synchronous mode. With the advancement in technologies, the superiority of BDFM over the conventional machines will be proved soon and in few years, these machines will be used in most of the applications. © BEIESP.

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2016

M. Ranjan, Gunasekaran, S., and Resmi, R., “T-Joint weld optimization using Taguchi method”, Journal of Chemical and Pharmaceutical Sciences, vol. 9, pp. 1851-1857, 2016.[Abstract]


Arc welded structures got its important due to the usage of them in the field of transportation systems, constructions and power plants. Design defect and overloading plays the main cause for weldment failure. Hence it is necessary to analyze the maximum stresses that can be applied in the weldment. In this work, investigation of welded T-joint by TIG welding process with varying gap and angle between the parent materials to determine the breaking stress under tensile load in the weldment has been done. Finite element (FE) analysis is used to carry out the maximum breaking stress using Ansys software. Experimental analysis has been done to find out the maximum breaking stress under tensile load. Taguchi optimization method is used to optimize the fillet weld section in the experimental analysis. Angle, arc force and gap between parent materials are the three process parameters used for the Taguchi optimization technique. The FE analysis & analytical results of breaking stress is also carried out and verified with the experimental results. The optimized best fillet weld section (low carbon steel AISI1020 and copper) is used to restrict the weldment failure.

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2015

R. Resmi, V, A. Agoram, Perumal, A., and .Vanitha, V., “Design and Analysis of Brushless Doubly Fed Induction Generator”, Procedia Technology, Elsevier, vol. 21, pp. 604-610, 2015.[Abstract]


Brushless Doubly Fed Induction Generator (BDFIG) is one of the upcoming machines which is under research study to be used in offshore windfarms as it has many advantages over the conventional machines. Electromagnetism, the study of electric and magnetic fields plays the vital role in the design of machines. Electric machines are used in novel applications around the world, driven by the need for greater power efficiency in the transportation, aerospace and defense, and industrial automation areas. It is difficult to design a machine to meet all the performance criteria. ANSYS Maxwell software is a powerful tool to analyze all the relevant performance indices related to machine design. Finite element method is used in this software for the accurate analysis of the modeled machine. In this paper, design of 1.1 kW Brushless Doubly Fed Induction Generator (BDFIG) for 2/6 pole configuration and 4/8 pole configuration are done and analysis of the configurations are carried out using ANSYS Maxwell software.

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2015

R. Resmi and .V, V., “Modeling of Brushless Doubly Fed Induction Generator with converter control”, ARPN Journal of engineering and applied sciences, vol. 10, no. 7, p. 3193, 2015.[Abstract]


The tremendous increase in the use of fossil fuels and rapid depletion of natural resources are lead to the alternative sources of energy which is environment friendly are renewable energy. There has been a great interest in wind energy in recent years because it is a potential source for electricity generation with minimal environmental impacts and with no cost of fuel. The usually used wind electric conversion system (WECS) based on Doubly Fed Induction Generator (DFIG) uses slip rings and brushes. Due to depreciation of the slip rings and brushes of generator maintenance is a major issue. Also it will be very difficult to access them in the case of offshore wind farm. So, Brushless Doubly-Fed Induction Generator (BDFIG) was proposed to replace the traditional DFIG. This paper deals with mathematical modeling of BDFIG based Wind Electric Generator (WEG) with converter control. Modeling is done for 5kW WEG with the help of mathematical equations governing each component using MATLAB simulink and the results are presented.

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2015

A. Suresh, Resmi, R., and Vanitha, V., “Mathematical Model of Brushless Doubly Fed Induction Generator Based Wind Electric Generator”, In Power Electronics and Renewable Energy Systems, Springer India, pp. 1477-1487, 2015.[Abstract]


Electric power generated from renewable source of energy is generally referred to as “Green power”. There has been a renewed interest in wind energy in recent years because it is a potential source for electricity generation with minimal environmental impacts and with no cost of fuel. Nowadays, the main challenge in a Doubly Fed Induction Generator (DFIG) based wind electric conversion system is the proper maintenance of slip rings and brushes. Due to wear and tear, the slip rings and brushes of generator have to be frequently changed, which will be quite expensive. Also it will be very difficult to access them in the case of offshore wind farm. So, Brushless Doubly-Fed Induction Generator (BDFIG) was proposed to replace the traditional DFIG. Besides eliminating the slip rings and brushes, BDFIG has other advantages such as the improvement of reliability and cost effectiveness. This paper deals with mathematical modelling of BDFIG based Wind Electric Generator (WEG). Modelling is done for 50 kW WEG with the help of mathematical equations governing each component using MATLAB Simulink and the results are presented.

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2015

L. Devadas, Vanitha, V., and Resmi, R., “Modified Double Vector Control Theory Based Dynamic Voltage Restorer”, International Journal of Applied Engineering Research, vol. 10, no. 20, 2015.[Abstract]


A power electronic converter based series compensator that can protect critical loads from all supply side disturbances is called a Dynamic Voltage Restorer. It is used for protecting a load from sag/swell in the supply voltage. In three-phase systems, sag/swell may involve one or more phases. If only some phases are affected, the resulting fault becomes more complicated to analyse due to the simplifying assumption of equal current magnitude in all phases being no longer applicable. This paper proposes a strategy of separating positive and negative sequence components of the supply voltage to control separately. Two controllers are realized for each sequence based on vector control. The validity of proposed strategies is demonstrated through MATLAB Simulink simulation on 415 V DVR, when the grid is subjected to unbalanced voltage dips.

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