Follow
ANANDA SHANKAR HATI
ANANDA SHANKAR HATI
FRSA, FIETE, SMIEEE, Indian Institute of Technology (Indian School of Mines), Dhanbad
Verified email at iitism.ac.in - Homepage
Title
Cited by
Cited by
Year
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
1492021
Deep convolutional neural network based on adaptive gradient optimizer for fault detection in SCIM
P Kumar, AS Hati
ISA transactions 111, 350-359, 2021
772021
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
59*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
532022
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
53*2021
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
512021
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
40*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
312020
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
252022
Symmetrical component filter based on line condition monitoring instrumentation system for mine winder motor
AS Hati, TK Chatterjee
Measurement 82, 284-300, 2016
202016
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
172021
A comprehensive review of energy-efficiency of ventilation system using Artificial Intelligence
AS Hati
Renewable and Sustainable Energy Reviews 146, 111153, 2021
172021
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
16*
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
132016
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
132015
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
132015
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
13*2012
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
122022
Deep transfer learning framework for bearing fault detection in motors
P Kumar, P Kumar, AS Hati, HS Kim
Mathematics 10 (24), 4683, 2022
112022
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
The system can't perform the operation now. Try again later.
Articles 1–20