| 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 | 199 | 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 | 95 | 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 | 70 | 2022 |
| 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 | 61 | 2020 |
| 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 | 53 | 2021 |
| Deep transfer learning framework for bearing fault detection in motors P Kumar, P Kumar, AS Hati, HS Kim Mathematics 10 (24), 4683, 2022 | 39 | 2022 |
| 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 | 33 | 2021 |
| 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 29, 3024-3035, 2024 | 30 | 2024 |
| 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 | 26 | 2023 |
| 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 | 25 | 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 | 24 | 2023 |
| 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 | 19 | 2024 |
| 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 | 19 | 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 | 19 | 2022 |
| Fusion of deep sort and Yolov5 for effective vehicle detection and tracking scheme in real-time traffic management sustainable system S Kumar, SK Singh, S Varshney, S Singh, P Kumar, BG Kim, IH Ra Sustainability 15 (24), 16869, 2023 | 16 | 2023 |
| Deep learning-based fault diagnosis of servo motor bearing using the attention-guided feature aggregation network I Raouf, P Kumar, HS Kim Expert Systems with Applications 258, 125137, 2024 | 15 | 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 | 12 | 2024 |
| 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 | 9 | 2020 |
| Advances in prognostics and health management for aircraft landing gear—progress, challenges, and future possibilities I Raouf, P Kumar, Y Cheon, M Tanveer, SH Jo, HS Kim International Journal of Precision Engineering and Manufacturing-Green …, 2025 | 7 | 2025 |
| Multi-size wide kernel convolutional neural network for bearing fault diagnosis P Kumar, I Raouf, J Song, HS Kim Advances in Engineering Software 198, 103799, 2024 | 3 | 2024 |
ANANDA SHANKAR HATIFRSA, FIETE, SMIEEE, Indian Institute of Technology (Indian School of Mines), DhanbadПідтверджена електронна адреса в iitism.ac.in