| 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 | 174 | 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 | 86 | 2021 |
| 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 | 65* | 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 | 60 | 2022 |
| Development of energy efficient drive for ventilation system using recurrent neural network Prince, AS Hati, P Chakrabarti, JH Abawajy, NW Keong Neural Computing and Applications 33 (14), 8659-8668, 2021 | 56 | 2021 |
| ANN-Based Pattern Recognition for Induction Motor Broken Rotor Bar Monitoring under Supply Frequency Regulation. Machines 2021, 9, 87 AK Sinha, AS Hati, M Benbouzid, P Chakrabarti s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | 55* | 2021 |
| 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 | 43* | 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 |
| Depolarization current prediction of transformers OPI system affected from detrapped charge using LSTM A Vatsa, AS Hati IEEE Transactions on Instrumentation and Measurement 71, 1-11, 2022 | 26 | 2022 |
| Symmetrical component filter based on line condition monitoring instrumentation system for mine winder motor AS Hati, TK Chatterjee Measurement 82, 284-300, 2016 | 22 | 2016 |
| A comprehensive review of energy-efficiency of ventilation system using Artificial Intelligence AS Hati Renewable and Sustainable Energy Reviews 146, 111153, 2021 | 21 | 2021 |
| Deep transfer learning framework for bearing fault detection in motors P Kumar, P Kumar, AS Hati, HS Kim Mathematics 10 (24), 4683, 2022 | 18 | 2022 |
| Sensor-less speed control of ventilation system using extended Kalman filter for high performance P Kumar, AS Hati 2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical …, 2021 | 18 | 2021 |
| Support Vector Classifiers based broken rotor bar detection in Squirrel cage induction motor K Prashant, AS Hati Machines, Mechanisms and Robotics, Springer, Singapore, 429-438, 0 | 18* | |
| Convolutional neural network-long short term memory optimization for accurate prediction of airflow in a ventilation system AS Hati Expert Systems With Applications 195, 116618, 2022 | 15 | 2022 |
| Vibration monitoring instrumentation system for detecting airgap eccentricity in mine winder motor AS Hati Journal of Mines, Metals & Fuels 64 (5&6), 240-248, 2016 | 15 | 2016 |
| Current monitoring Instrumentation system for detecting airgap eccentricity in mine winder motor ASHTK Chatterjee International Journal of Applied Engineering Research 10 (22), 43000-43007, 2015 | 15 | 2015 |
| Axial leakage flux based on line condition monitoring instrumentation system for mine winder motor ASHTK Chatterjee Journal of Mines, Metals & Fuels 63 (5&6), 132-140, 2015 | 14 | 2015 |
| Some studies on condition monitoring techniques for on line condition monitoring and fault diagnosis of mine winder motor ASHTK Chatterjee International Journal of Engineering Science and Technology 4 (8), 3785-3793, 2012 | 14* | 2012 |
| 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 |
Professor Prashant KumarChair in Air Quality & Health; Co-Director, Institute for Sustainability; Founding Director GCARE在 surrey.ac.uk 的电子邮件经过验证
