| Review on machine learning algorithm based fault detection in induction motors P Kumar, AS Hati Archives of Computational Methods in Engineering 28 (3), 1929-1940, 2021 | 158 | 2021 |
| Deep convolutional neural network based on adaptive gradient optimizer for fault detection in SCIM P Kumar, AS Hati ISA transactions 111, 350-359, 2021 | 81 | 2021 |
| Dilated convolutional neural network based model for bearing faults and broken rotor bar detection in squirrel cage induction motors P Kumar, AS Hati Expert Systems With Applications 191, 116290, 2022 | 56 | 2022 |
| Convolutional neural network with batch normalisation for fault detection in squirrel cage induction motor P Kumar, A Shankar Hati IET electric power applications 15 (1), 39-50, 2021 | 48 | 2021 |
| Amalgamation of transfer learning and deep convolutional neural network for multiple fault detection in SCIM P Kumar, AS Hati, S Padmanaban, Z Leonowicz, P Chakrabarti 2020 IEEE International Conference on Environment and Electrical Engineering …, 2020 | 33 | 2020 |
| Transfer learning-based deep CNN model for multiple faults detection in SCIM P Kumar, AS Hati Neural Computing and Applications 33 (22), 15851-15862, 2021 | 27 | 2021 |
| Prognostics and health management of rotating machinery of industrial robot with deep learning applications—a review P Kumar, S Khalid, HS Kim Mathematics 11 (13), 3008, 2023 | 14 | 2023 |
| Deep transfer learning framework for bearing fault detection in motors P Kumar, P Kumar, AS Hati, HS Kim Mathematics 10 (24), 4683, 2022 | 13 | 2022 |
| An adaptive neural fuzzy interface structure optimisation for prediction of energy consumption and airflow of a ventilation system AS Hati, P Kumar Applied Energy 337, 120879, 2023 | 9 | 2023 |
| Transfer learning-based intelligent fault detection approach for the industrial robotic system I Raouf, P Kumar, H Lee, HS Kim Mathematics 11 (4), 945, 2023 | 9 | 2023 |
| ANN based fault detection scheme for bearing condition monitoring in SRIMs using FFT, DWT and band-pass filters AK Sinha, P Kumar, AS Hati 2020 International Conference on Power, Instrumentation, Control and …, 2020 | 8 | 2020 |
| Review on prognostics and health management in smart factory: From conventional to deep learning perspectives P Kumar, I Raouf, HS Kim Engineering Applications of Artificial Intelligence 126, 107126, 2023 | 6 | 2023 |
| Support vector classifier-based broken rotor bar detection in squirrel cage induction motor P Kumar, AS Hati Machines, Mechanism and Robotics: Proceedings of iNaCoMM 2019, 429-438, 2022 | 3 | 2022 |
| A Fault Detection System for Wiring Harness Manufacturing Using Artificial Intelligence J Song, P Kumar, Y Kim, HS Kim Mathematics 12 (4), 537, 2024 | 1 | 2024 |
| Delamination detection in CFRP laminates using deep transfer learning with limited experimental data MM Azad, P Kumar, HS Kim Journal of Materials Research and Technology, 2024 | 1 | 2024 |
| Transfer learning for servomotor bearing fault detection in the industrial robot P Kumar, I Raouf, HS Kim Advances in Engineering Software 194, 103672, 2024 | | 2024 |
| Residual LSTM-based short duration forecasting of polarization current for effective assessment of transformers insulation A Vatsa, AS Hati, P Kumar, M Margala, P Chakrabarti Scientific Reports 14 (1), 1369, 2024 | | 2024 |
| Explainable deep learning model for bearing fault detection in industrial robots P Kumar, I Raouf, YR Noh, HS Kim 대한기계학회 춘추학술대회, 120-121, 2023 | | 2023 |
| A transfer learning‐based deep convolutional neural network approach for induction machine multiple faults detection P Kumar, AS Hati, P Kumar International Journal of Adaptive Control and Signal Processing, 2023 | | 2023 |
| Bearing Fault Diagnosis in Induction Motor Using Hybrid CNN Model P Kumar, AS Hati, Prince, HS Kim International Conference on Industrial Problems on Machines and Mechanism …, 2022 | | 2022 |
ANANDA SHANKAR HATIFRSA, FIETE, SMIEEE, Indian Institute of Technology (Indian School of Mines), Dhanbad在 iitism.ac.in 的电子邮件经过验证
