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Prashant Kumar
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Cited by
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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
1362021
Deep convolutional neural network based on adaptive gradient optimizer for fault detection in SCIM
P Kumar, AS Hati
ISA transactions 111, 350-359, 2021
702021
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
482022
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
432021
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
292020
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
232021
Deep transfer learning framework for bearing fault detection in motors
P Kumar, P Kumar, AS Hati, HS Kim
Mathematics 10 (24), 4683, 2022
112022
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
102023
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
72023
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
72020
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
52023
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
32023
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
32022
A Fault Detection System for Wiring Harness Manufacturing Using Artificial Intelligence
J Song, P Kumar, Y Kim, HS Kim
Mathematics 12 (4), 537, 2024
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
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
Prognostic health management for strain wave gear reducer under different operating conditions
I Raouf, P Kumar, H Lee, HS Kim
대한기계학회 춘추학술대회, 822-822, 2022
2022
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