Bearing fault detection of induction motor using wavelet and Support Vector Machines (SVMs) P Konar, P Chattopadhyay Applied Soft Computing 11 (6), 4203-4211, 2011 | 536 | 2011 |
Multi-class fault diagnosis of induction motor using Hilbert and Wavelet Transform P Konar, P Chattopadhyay Applied Soft Computing 30, 341-352, 2015 | 103 | 2015 |
Amorphous graphene–transformer oil nanofluids with superior thermal and insulating properties MM Bhunia, K Panigrahi, S Das, KK Chattopadhyay, P Chattopadhyay Carbon 139, 1010-1019, 2018 | 63 | 2018 |
Automatic number plate recognition using CNN based self synthesized feature learning M Mondal, P Mondal, N Saha, P Chattopadhyay 2017 IEEE Calcutta Conference (CALCON), 378-381, 2017 | 55 | 2017 |
Condition monitoring of electrical equipment using thermal image processing T Dutta, J Sil, P Chottopadhyay 2016 IEEE First International Conference on Control, Measurement and …, 2016 | 49 | 2016 |
Knowledge extraction using data mining for multi-class fault diagnosis of induction motor P Konar, J Sil, P Chattopadhyay Neurocomputing 166, 14-25, 2015 | 36 | 2015 |
Feature extraction using wavelet transform for multi-class fault detection of induction motor P Chattopadhyay, P Konar Journal of The Institution of Engineers (India): Series B 95 (1), 73-81, 2014 | 31 | 2014 |
Broken bar fault detection using fused DWT-FFT in FPGA platform PS Panigrahy, P Konar, P Chattopadhyay 2014 International Conference on Power, Control and Embedded Systems (ICPCES …, 2014 | 22 | 2014 |
Deep learning in fault diagnosis of induction motor drives P Chattopadhyay, N Saha, C Delpha, J Sil 2018 Prognostics and System Health Management Conference (PHM-Chongqing …, 2018 | 21 | 2018 |
Size and phase dependent thermal conductivity of TiO2-water nanofluid with theoretical insight D Mitra, P Howli, BK Das, NS Das, P Chattopadhyay, KK Chattopadhyay Journal of Molecular Liquids 302, 112499, 2020 | 19 | 2020 |
Quasi 1D CNN-based fault diagnosis of induction motor drives R Mukhopadhyay, PS Panigrahy, G Misra, P Chattopadhyay 2018 5th International Conference on Electric Power and Energy Conversion …, 2018 | 19 | 2018 |
2D square nanosheets of Anatase TiO2: A surfactant free nanofiller for transformer oil nanofluids MM Bhunia, K Panigrahi, CB Naskar, S Bhattacharjee, KK Chattopadhyay, ... Journal of Molecular Liquids 325, 115000, 2021 | 18 | 2021 |
Model learning for robotic manipulators using recurrent neural networks R Mukhopadhyay, R Chaki, A Sutradhar, P Chattopadhyay TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 2251-2256, 2019 | 18 | 2019 |
PSO driven designing of robust and computation efficient 1D-CNN architecture for transmission line fault detection S Mitra, R Mukhopadhyay, P Chattopadhyay Expert Systems with Applications 210, 118178, 2022 | 16 | 2022 |
Tri-axial vibration based collective feature analysis for decent fault classification of VFD fed induction motor PS Panigrahy, P Chattopadhyay Measurement 168, 108460, 2021 | 16 | 2021 |
Challenges in implementation of ANN in embedded system S Mitra, P Chattopadhyay 2016 International Conference on Electrical, Electronics, and Optimization …, 2016 | 15 | 2016 |
Design and implementation of flexible Numerical Overcurrent Relay on FPGA S Mitra, P Chattopadhyay International Journal of Electrical Power & Energy Systems 104, 797-806, 2019 | 14 | 2019 |
Strain-induced partial phase transition in TiO2 nanoparticles manifesting frequency dispersive pseudo-inductive switching of capacitance D Mitra, S Bhattacharjee, N Mazumder, BK Das, P Chattopadhyay, ... Ceramics International 46 (12), 20437-20447, 2020 | 13 | 2020 |
Application of data mining in fault diagnosis of induction motor PS Panigrahy, P Konar, P Chattopadhyay 2016 IEEE First International Conference on Control, Measurement and …, 2016 | 13 | 2016 |
Fault diagnosis of induction motor using CWT and rough-set theory P Konar, M Saha, J Sil, P Chattopadhyay 2013 IEEE Symposium on Computational Intelligence in Control and Automation …, 2013 | 12 | 2013 |