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2020 – today
- 2022
[j4]Subhrajit Mitra
, Rajarshi Mukhopadhyay, Paramita Chattopadhyay:
PSO driven designing of robust and computation efficient 1D-CNN architecture for transmission line fault detection. Expert Syst. Appl. 210: 118178 (2022)- 2020
- [j3]Parth Sarathi Panigrahy, Deepjyoti Santra, Paramita Chattopadhyay:
Decent fault classification of VFD fed induction motor using random forest algorithm. Artif. Intell. Eng. Des. Anal. Manuf. 34(4): 492-504 (2020)
2010 – 2019
- 2019
- [c3]Rajarshi Mukhopadhyay, Ritartha Chaki, Ashoke Sutradhar, Paramita Chattopadhyay:
Model Learning for Robotic Manipulators using Recurrent Neural Networks. TENCON 2019: 2251-2256 - 2015
- [j2]Pratyay Konar, Paramita Chattopadhyay:
Multi-class fault diagnosis of induction motor using Hilbert and Wavelet Transform. Appl. Soft Comput. 30: 341-352 (2015) - [j1]Pratyay Konar, Jaya Sil, Paramita Chattopadhyay:
Knowledge extraction using data mining for multi-class fault diagnosis of induction motor. Neurocomputing 166: 14-25 (2015) - [c2]Pratyay Konar, Parth Sarathi Panigrahy, Paramita Chattopadhyay:
Tri-Axial Vibration Analysis Using Data Mining for Multi Class Fault Diagnosis in Induction Motor. MIKE 2015: 553-562 - 2013
- [c1]Pratyay Konar, Moumita Saha, Jaya Sil, Paramita Chattopadhyay:
Fault diagnosis of induction motor using CWT and rough-set theory. CICA 2013: 17-23
Coauthor Index
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