Analysis of Mechanical integrity in power transformer using statistical techniques M. Arivamudhan, S. Santhi Proceedings of 2019 3rd IEEE International Conference on Electrical Computer and Communication Technologies Icecct 2019, 2019 Transformers are key components in a power transmission network and any failure will lead to expensive and life threatening event. Sweep frequency response analysis (SFRA) method is a well established approach for determining the conditions of various parts of a power transformer. In this paper an approach for the interpretation of SFRA by the computation of statistical indicators is presented through a simulation work implemented using Matlab software. Further the results are validated with experimental FRA obtained from a 33kv/ 11kv, 10 MVA power transformer.
FPGA Realization of FFT and DWT Algorithms for the Detection of Transformer Winding Deformation M. Arivamudhan, S. Santhi Proceedings of the 2nd International Conference on Intelligent Computing and Control Systems Iciccs 2018, 2018 Transformers play a critical role in power system network. Any fault due to short circuit in nearby network may lead to severe consequences and result in loss of power supply and pose threat to personnel safety. This necessitates manufacturers to concentrate on demonstrating the short circuit with stand capability and is achieved through a special test namely short circuit test that validates the structural integrity of transformers. There is a possibility that a transformer may fail during the test. The failure may take the form of winding deformation axially or radially. In this work a lumped parameter model of a transformer winding is considered and short circuit test is performed through simulation using Matlab package. The winding current computed under shorted secondary condition is analyzed using FFT for deformation detection. Further the application of DWT is demonstrated for feature extraction to identify the type deformation. In order to develop online monitoring of winding condition, FPGA based signal analysis algorithms implementation is demonstrated through a simulation work. This paper presents FPGA realization of FFT and DWT algorithms for winding deformation detection.
Measurement of axial leakage flux for the detection of winding deformation in transformer M. Arivamudhan, N. Vanamadevi, S. Santhi IEEE Region 10 Annual International Conference Proceedings TENCON, 2008 This paper aims at describing a method for the detection of winding deformation in transformer based on the measurement of axial leakage flux. Theoretical background for the proposed method is presented from the fundamental principles. The method is validated through experiments conducted on a specially designed jumping ring model that demonstrates winding deformation in a simple and an effective manner.
Detection and classification of impulse faults in transformer using wavelet transform and artificial neural network N. Vanamadevi, M. Arivamudhan, S. Santhi 2008 IEEE International Conference on Sustainable Energy Technologies Icset 2008, 2008 This paper aims at describing a method for the detection and classification of impulse faults in a transformer winding using wavelet transform and an artificial neural network. The method is explained by considering the lumped parameter model of a winding. The WT decomposes the signal and RMS value of the detailed signal is extracted to train the ANN. The simulation results are satisfactory in detection and classification of faults.
RECENT SCHOLAR PUBLICATIONS
Analysis of Mechanical integrity in power transformer using statistical techniques M Arivamudhan, S Santhi 2019 IEEE International Conference on Electrical, Computer and Communication … , 2019 2019 Citations: 2
FPGA Realization of FFT and DWT algorithms for the detection of transformer winding deformation M Arivamudhan, S Santhi 2018 Second International Conference on Intelligent Computing and Control … , 2018 2018 Citations: 3
FPGA Realization of Signal analysis Algorithms for transformer winding deformation detection M.P.MadhanMohanaraj,S.Santhi, M.Arivamudhan, N.Vanamadevi International Conference on Communication and Control Engineering (ICCCE … , 2016 2016
Least Square estimation approach for transformer parametric model identification M.Arivamudhan, S.Santhi, A.Arunkumar National Conference on Instrumentation Systems, Measurement and Automation … , 2016 2016
Condition monitoring of power transformer using MEMS sensor M Arivamudhan, S Santhi Advances in Natural and Applied Sciences 8 (20), 91-100 , 2014 2014
Gabor transform for the time–frequency localization of impulse faults in a transformer N Vanamadevi, S Santhi, M Arivamudhan Artificial Intelligence and Evolutionary Algorithms in Engineering Systems … , 2014 2014 Citations: 3
Transformer impulse faults classification using discrete wavelet transform and radial basis function neural network Vanamadevi.N, Arivamudhan.M, Santhi.S IEEE International Conference on Emerging Trends in Science, Engineering … , 2014 2014
Hilbert Huang transform for the analysis of transformer tank vibration signal Arivamudhan.M, Santhi.S, Sugasini.G IEEE International Conference on Emerging Trends in Science, Engineering … , 2014 2014
FEM based reactance computation for transformers winding deformation detection M ARIVANMUDHAN, S Santhi International Journal of Computer Applications 975, 8887 , 2014 2014 Citations: 3
Time frequency analysis of transformer winding deformation using S transform M Arivamudhan, S Santhi International Journal of Recent Scientific Research 5 (3), 557-561 , 2014 2014
Improved Detection Sensitivity with Combined WPT and HHT for Power Transformer Winding Deformation Analysis M Arivamudhan, S Santhi, S Abirami, G Sugasini International Journal of Computer Applications 975, 8887 , 2014 2014 Citations: 2
Broad band excitation for transformer winding deformation detection and analysis using Hilbert Huang transform Arivamudhan.M, Santhi.S, Abirami.S 8th International conference on Trends in Industrial Measurements and … , 2013 2013 Citations: 2
Model based approach for fault detection in power transformers using particle swarm intelligence M Arivamudhan, S Santhi Recent Advancements in System Modelling Applications: Proceedings of … , 2013 2013 Citations: 5
Improved method for winding deformation detection sensitivity in transformer M Arivamudhan, S Santhi International Journal of Engineering Science Invention 2 (10), 48-55 , 2013 2013 Citations: 1
Detection and classification of impulse faults in transformer using wavelet transform and artificial neural network N Vanamadevi, M Arivamudhan, S Santhi 2008 IEEE International Conference on Sustainable Energy Technologies, 72-76 , 2008 2008 Citations: 5
Measurement of axial leakage flux for the detection of winding deformation in transformer M Arivamudhan, N Vanamadevi, S Santhi TENCON 2008-2008 IEEE Region 10 Conference, 1-6 , 2008 2008 Citations: 7
MOST CITED SCHOLAR PUBLICATIONS
Measurement of axial leakage flux for the detection of winding deformation in transformer M Arivamudhan, N Vanamadevi, S Santhi TENCON 2008-2008 IEEE Region 10 Conference, 1-6 , 2008 2008 Citations: 7
Model based approach for fault detection in power transformers using particle swarm intelligence M Arivamudhan, S Santhi Recent Advancements in System Modelling Applications: Proceedings of … , 2013 2013 Citations: 5
Detection and classification of impulse faults in transformer using wavelet transform and artificial neural network N Vanamadevi, M Arivamudhan, S Santhi 2008 IEEE International Conference on Sustainable Energy Technologies, 72-76 , 2008 2008 Citations: 5
FPGA Realization of FFT and DWT algorithms for the detection of transformer winding deformation M Arivamudhan, S Santhi 2018 Second International Conference on Intelligent Computing and Control … , 2018 2018 Citations: 3
Gabor transform for the time–frequency localization of impulse faults in a transformer N Vanamadevi, S Santhi, M Arivamudhan Artificial Intelligence and Evolutionary Algorithms in Engineering Systems … , 2014 2014 Citations: 3
FEM based reactance computation for transformers winding deformation detection M ARIVANMUDHAN, S Santhi International Journal of Computer Applications 975, 8887 , 2014 2014 Citations: 3
Analysis of Mechanical integrity in power transformer using statistical techniques M Arivamudhan, S Santhi 2019 IEEE International Conference on Electrical, Computer and Communication … , 2019 2019 Citations: 2
Improved Detection Sensitivity with Combined WPT and HHT for Power Transformer Winding Deformation Analysis M Arivamudhan, S Santhi, S Abirami, G Sugasini International Journal of Computer Applications 975, 8887 , 2014 2014 Citations: 2
Broad band excitation for transformer winding deformation detection and analysis using Hilbert Huang transform Arivamudhan.M, Santhi.S, Abirami.S 8th International conference on Trends in Industrial Measurements and … , 2013 2013 Citations: 2
Improved method for winding deformation detection sensitivity in transformer M Arivamudhan, S Santhi International Journal of Engineering Science Invention 2 (10), 48-55 , 2013 2013 Citations: 1
FPGA Realization of Signal analysis Algorithms for transformer winding deformation detection M.P.MadhanMohanaraj,S.Santhi, M.Arivamudhan, N.Vanamadevi International Conference on Communication and Control Engineering (ICCCE … , 2016 2016
Least Square estimation approach for transformer parametric model identification M.Arivamudhan, S.Santhi, A.Arunkumar National Conference on Instrumentation Systems, Measurement and Automation … , 2016 2016
Condition monitoring of power transformer using MEMS sensor M Arivamudhan, S Santhi Advances in Natural and Applied Sciences 8 (20), 91-100 , 2014 2014
Transformer impulse faults classification using discrete wavelet transform and radial basis function neural network Vanamadevi.N, Arivamudhan.M, Santhi.S IEEE International Conference on Emerging Trends in Science, Engineering … , 2014 2014
Hilbert Huang transform for the analysis of transformer tank vibration signal Arivamudhan.M, Santhi.S, Sugasini.G IEEE International Conference on Emerging Trends in Science, Engineering … , 2014 2014
Time frequency analysis of transformer winding deformation using S transform M Arivamudhan, S Santhi International Journal of Recent Scientific Research 5 (3), 557-561 , 2014 2014
