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Venkata Sunil Nag was born in Visakhapatnam, Andhra Pradesh, India in 1977. He completed his B. Tech. in Instrument Technology from University College of Engineering, Andhra University, Andhra Pradesh, in 2000 and M.Tech. in Electrical Engineering with specialization in Control and Instrumentation in 2001 from IIT Delhi. At present he is working towards his Ph. D. at Amrita Vishwa Vidyapeetham.

Before joining Amrita Vishwa Vidyapeetham in 2006 he worked in Bhabha Atomic Research Centre, Trombay, as a scientific officer from 2002 to 2005, after going through an orientation course in nuclear engineering for engineering post graduates. He secured 15th All India Rank in GATE-2000 in instrumentation discipline. During his Post graduate study at IIT Delhi he got institute scholarship. He is at present working as an Assistant professor in the department of ECE at Amrita School of Engineering, Amrita VishwaVidyapeetham Coimbatore, tamilnadu, India. His areas of interest are in instrumentation and control and specifically in the area of "model based fault diagnosis of electrical machines". He is a member of IETE


  • Pursuing: Ph. D. in Machine Fault Diagnosis
    Amrita Vishwa Vidyapeetham
  • 2001: M. Tech. in Control and Instrumentation
    IIT Delhi
    Qualified GATE – 2000 15th All India Rank Instrumentation Discipline, Institute fellowship during M.Tech

Professional Experience

Year Affiliation
July 1, 2007 - Till Date Assistant Professor (Selection Grade), Amrita Vishwa Vidyapeetham
Domain : Teaching
January 4, 2006 to June 30, 2007 Lecturer, Amrita Vishwa Vidyapeetham
Domain : Teaching
1/09/2002 to 19/12/2005 Scientific Officer, Bhabha Atomic Research Centre
Domain : R&D

Academic Responsibilities

SNo Position Class / Batch
1. Class Adviser B.Tech EIE ( 2006–10, 2010-2014, 2013-17 (only for final year), B.Tech ECE 2017-2021
2. Time-Table Coordinator for ECE dept from even semester 2013-14 to even sem 2015-16 --

Undergraduate Courses Handled

  1. Process control,
  2. control engineering
  3. digital control systems
  4. industrial automation
  5. network analysis
  6. industrial instrumentation-I
  7. industrial instrumentation-II
  8. electrical and electronic measurements,
  9. electronics circuits
  10. Electrical Machines
  11. fibre optics and laser instrumentation
  12. microcontrollers and applications
  13. Electric motors and drives
  14. Process control lab
  15. Process control and Advanced control systems lab
  16. Measurements and control systems lab
  17. Industrial automation lab
  18. Measurements lab
  19. Digital systems lab
  20. Electronics workshop
  21. Signals and systems lab
  22. Electronic circuits lab
  23. Microcontroller lab
  24. industrial instrumentation-I lab
  25. open lab

Post-Graduate / PhD Courses Handled

  • Principles of Bio-sensing (Bio-medical Engineering)

Participation in Faculty Development / STTP / Workshops /Conferences

SNo Title Organization Period Outcome
1. Seminar on MATLAB and Simulink for engineering education MathworksIndia February 10, 2015 teaching
2. Workshop on Design and Analysis of Electrical Machinrrs using ANSYS software Department of EEE, Amrita School of Engineering, Amrita VishwaVidyapeetham, February 16 - 18, 2015 Research
3. Faculty Enablement Programme on Internet of Things Infosys February 15 - 17, 2018 Teaching
4. International workshop on Creative thinking and user centered design Department of ECE, Amrita School of Engineering, Amrita VishwaVidyapeetham, May 15 - 16, 2018 Research

Organizing Faculty Development / STTP / Workshops /Conferences

SNo Title Organization Period
1. Co-coordinator for two week ISTE workshop on Basic electronics IIT Bombay conducted under NMEICT (MHRD) June 28 - July 8, 2011
2. Member of organizing committee for Recent trends in communication and signal processing (RTCSP’09), Department of ECE, Amrita School of Engineering, Amrita VishwaVidyapeetham, April 7, 2009

Academic Research – PG Projects

SNo Name of the Scholar Programme Specialization Duration Status
1. Dayadas K G Communication and signal processing Machine fault diagnosis 2016-17 Completed
2. RanjiniWarrier E. Communication and signal processing Machine fault diagnosis 2017-18 Completed

Research Laboratories – Developed / Associated

Location Name and Year Sponsoring Agency Domain No. of Publications No. of Funded projects No. of PG / PhDs
E-306, AB-II Machine Intelligence Lab (2010) NPMASS Signal Processing 5 2 PG:6 PhD:5

Instructional Materials Developed

Name & Description Outcome
Developed lab manuals for Process control lab, Process control and Advanced control systems lab, Measurements and control systems lab, Industrial automation lab, Measurements lab, industrial instrumentation-I lab Teaching

Research Expertise

Application of state estimation techniques for model based fault diagnosis of synchronous generators (Phd area).


Process control, control engineering, digital control systems, industrial automation, network analysis, industrial instrumentation, electrical and electronic measurements, electronics circuits, fibre optics and laser instrumentation, microcontrollers and applications


Publication Type: Conference Paper

Year of Publication Title


R. E. Warrier, Nag, P. V. Sunil, and C. Kumar, S., “A Novel H-∞ Filter Based Indicator for Health Monitoring of Components in a Smart Grid”, in Emerging Research in Computing, Information, Communication and Applications, Singapore, 2019.[Abstract]

Health monitoring of a smart grid is very important to ensure reliability of the grid. This can be achieved by developing various indicators for the components of the grid. These indicators are very powerful if they are model based as they can be used in real time without need for extra hardware provided the model of the systems and the model parameter values are available. This work presents a novel H∞ filter based fault indicator. The fault chosen here is the stator interturn fault of a wound rotor synchronous generator. It will be proved that (1) the indicator sensitive to fault and is insensitive to other kinds of spurious effects like load imbalance. (2) The indicator can be used to find the magnitude of fault. (3) The indicator can function irrespective of the type of uncertainties assumed in modelling the system. As far as the knowledge of the author goes this is the first time H-∞ filter based indicators are used for stator interturn fault of a wound rotor synchronous generator.

More »»


P. V. Sunil Nag, Kumar, C. S., Dr. Sindhu Thampatty K.C., and Isha, T. B., “A Modified Approach for Application of Augmented Extended Kalman filter for Stator Interturn fault Diagnosis of a Synchronous Generator”, in Proceedings of the 4th International Conference on Electrical Energy Systems, ICEES 2018, 2018, pp. 465-469.[Abstract]

Stator interturn fault diagnosis of electrical machines has been a very intensely researched area. The synchronous generator (SG) is a very important component of a power system and there are only a few works that deal with the model based approach to fault diagnosis of a wound rotor synchronous generator. This work deals with the application of augmented Extended Kalman Filter (EKF) to obtain the residual signal for an SG. This signal contains the signature of the fault and can distinguish an interturn fault from a load imbalance of similar magnitude.

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Publication Type: Journal Article

Year of Publication Title


P. V. Sunil Nag, Nair, S. R. P., Gowtham, M., Sibichakravarthy, V., Shivendran, T. D., and Manjunath, S., “Kalman filtering techniques for fault detection and diagnosis in continuously stirred tank reactor (Cstr)”, International Journal of Applied Engineering Research, vol. 10, pp. 37346-37350, 2015.[Abstract]

Fault detection and isolation is one of the major challenges every chemical industry is concerned with, because it deals with the performance of the machinery. Fault detection methods play an essential role in reducing costs, increasing safety and minimizing the effect on the surroundings[1]. To study and compare various Fault detection and isolation techniques, the mathematical model of a continuously stirred tank reactor (CSTR) is implemented in MATLAB. The output, which is obtained from this model, is fed to Kalman filter, which in turn gives a residue that is used to detect the faults present in the system. The difference between the measured process variables and their estimate is called a residue[2]. The same method is used for detecting faults for non-linear state equations with Extended Kalman filter and the residue is obtained from the same. From the residues obtained from Kalman and Extended Kalman filter a conclusion is made that the Extended Kalman filter gives more accurate results. © Research India Publications. More »»


D. Kumar J, .N, H., .S, K., .N, M., S, S., .L, V., and Nag, P. V. Sunil, “Wavelet based Fault Detection for Wind Turbine”, IJCA Proceedings on International Symposium on Devices MEMS, Intelligent Systems & Communication (ISDMISC), pp. 7-10, 2011.[Abstract]

Renewable energy sources are gaining high prominence in today’s world. However, these sources do not supply energy throughout the year and hence efficiency is required when extracting energy from them. Wind energy is a recently developing area of common interest. Efficiency of a wind turbine is however, very low. Hence, detection of fault in the system becomes very essential so as to increase the efficiency. Fault detection is the primary step in FDI (Fault Detection and Isolation) and hence has to be executed using methods giving highest accuracy in predicting the occurrence of a fault. Wavelet transformation is a method which is used to separate the output signal from the faulty signals. Executing wavelet transformation for various sub-systems in the wind turbine, faults in different sub-systems can be detected. Here, we have used a benchmark model for the wind turbine and we have attempted to show how wavelet transform can be used to detect faults. More »»

Publication Type: Conference Proceedings

Year of Publication Title


M. Aravind, Harish, V., B. Sree, L. Sai, Sharma, S., and Nag, P. V. Sunil, “Interfacing and PID control of Liquid Level in a tank using MATLAB”, Proceedings of SARC-ITR International Conference. Chennai, pp. pp. 92-95, 2014.[Abstract]

This paper discusses about control of liquid level in a tank which has an external Yokogawa PID controller UT32A and supports serial communication using RS485 protocol with the PC. The present MODBUS RTU communication via Intouch graphical interface is imitated by opencontrolmodbus serial OPC server and MATLAB (as client). Also, the UT32A controller is replaced by a soft coded PID controller in MATLAB. The open loop curve figures and the PID parameters that are calculated are shown in results which can be further used for fault detection and diagnosis More »»


R. .Sudharma, .Anurudhya, K., .Manoja, M., Taunk, V. H., and Nag, P. V. Sunil, “Controller Design and Graphical User interface Development for a Cascade Level Control System”, Proceedings of SARC-ITR International Conference. Chennai, 2014.[Abstract]

Graphical user interface is a type of user interface that allows user to interact with electronic devices through graphical icons and visual indicators. The actions in GUI are performed through direct manipulations of graphical elements. GUI provides the digital version for users who are not well acquainted with the system. MATLAB is used in the creation of GUI. The proposed scheme includes the interfacing of PID controller with the computer and obtains real time values and displays them. More »»


V. S. Abitha, Jayasankar, V., Divya, A., Joseph, J., and Nag, P. V. Sunil, “Design of PID controller and state observer for flow control system using MATLAB”, Proceedings of SARC-ITR International Conference. Chennai, 2014.[Abstract]

In this paper a scheme for developing PID controller and state observer for a flow control system in MATLAB is proposed. The flow control system is interfaced with MATLAB using OPC toolbox. A digital PID controller is constructed based on position algorithm which enables the user to control the system performance. State space model for the system is developed using System Identification. State observer is constructed in MATLAB by employing the system parameters acquired. The estimation error of the observer should converge to zero to track the system properly. More »»


A. R, M.R., J., J, K. Kumar, V, K., H.K., M., and Nag, P. V. Sunil, “Tuning of fuzzy controller using reinforced sequential search based GA”, ELECTRON - Technical Report of Department of ECE, Special Issue, Proceedings of the First National Conference on Recent Trends in Communication and Signal Processing , vol. 1. pp. pp:246-251, 2009.


P. V. Sunil Nag, V, L., V, M., B, M. Kumar, R, N., and D, V., “Detection and isolation of sensor faults”, Proceedings of the First National Conference on Recent Trends in Communication and Signal Processing (RTCSP’09), vol. 1. pp. pp:252-259, 2009.


J. Mukherjee, Nag, P. V. Sunil, V. Kumar, D., Karmakar, D., and Gantayet, L. M., “Determination of vapour characteristics: Generated by High energy source”, IVSNS-2003. Trombay, Mumbai, 2003.