| Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review P Gangsar, R Tiwari Mechanical systems and signal processing 144, 106908, 2020 | 418 | 2020 |
| Comparative investigation of vibration and current monitoring for prediction of mechanical and electrical faults in induction motor based on multiclass-support vector machine … P Gangsar, R Tiwari Mechanical Systems and Signal Processing 94, 464-481, 2017 | 149 | 2017 |
| A support vector machine based fault diagnostics of Induction motors for practical situation of multi-sensor limited data case P Gangsar, R Tiwari Measurement 135, 694-711, 2019 | 74 | 2019 |
| Artificial intelligence application in fault diagnostics of rotating industrial machines: A state-of-the-art review V Singh, P Gangsar, R Porwal, A Atulkar Journal of Intelligent Manufacturing 34 (3), 931-960, 2023 | 59 | 2023 |
| Multifault diagnosis of induction motor at intermediate operating conditions using wavelet packet transform and support vector machine P Gangsar, R Tiwari Journal of Dynamic Systems, Measurement, and Control 140 (8), 081014, 2018 | 46 | 2018 |
| Diagnostics of mechanical and electrical faults in induction motors using wavelet-based features of vibration and current through support vector machine algorithms for various … P Gangsar, R Tiwari Journal of the Brazilian Society of Mechanical Sciences and Engineering 41 …, 2019 | 41 | 2019 |
| Taxonomy of induction-motor mechanical-fault based on time-domain vibration signals by multiclass SVM classifiers P Gangsar, R Tiwari Intelligent Industrial Systems 2, 269-281, 2016 | 26 | 2016 |
| Multiclass fault taxonomy in rolling bearings at interpolated and extrapolated speeds based on time domain vibration data by SVM algorithms P Gangsar, R Tiwari Journal of Failure Analysis and Prevention 14, 826-837, 2014 | 25 | 2014 |
| Online diagnostics of mechanical and electrical faults in induction motor using multiclass support vector machine algorithms based on frequency domain vibration and current signals P Gangsar, R Tiwari ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2019 | 19 | 2019 |
| Artificial neural network based fault diagnostics for three phase induction motors under similar operating conditions A Chouhan, P Gangsar, R Porwal, CK Mechefske Vibroengineering Procedia 30, 55-60, 2020 | 18 | 2020 |
| Artificial neural network–based fault diagnosis for induction motors under similar, interpolated and extrapolated operating conditions A Chouhan, P Gangsar, R Porwal, CK Mechefske Noise & Vibration Worldwide 52 (10), 323-333, 2021 | 17 | 2021 |
| Unbalance detection in rotating machinery based on support vector machine using time and frequency domain vibration features P Gangsar, RK Pandey, M Chouksey Noise & Vibration Worldwide 52 (4-5), 75-85, 2021 | 16 | 2021 |
| A review on deep learning based condition monitoring and fault diagnosis of rotating machinery P Gangsar, AR Bajpei, R Porwal Noise & vibration worldwide 53 (11), 550-578, 2022 | 11 | 2022 |
| Diagnostics of combined mechanical and electrical faults of an electromechanical system for steady and ramp-up speeds P Gangsar, M Chouksey, A Parey, Z Ali Journal of Vibration Engineering & Technologies 10 (4), 1431-1450, 2022 | 5 | 2022 |
| Effect of noise on support vector machine based fault diagnosis of IM using vibration and current signatures P Gangsar, R Tiwari MATEC Web of Conferences 211, 03009, 2018 | 5 | 2018 |
| Analysis of Time, frequency and wavelet based features of vibration and current signals for fault diagnosis of induction motors using SVM P Gangsar, R Tiwari Gas Turbine India Conference 58516, V002T05A027, 2017 | 5 | 2017 |
| Performance analysis of support vector machine and wavelet packet transform based fault diagnostics of induction motor at various operating conditions P Gangsar, R Tiwari Proceedings of the 10th International Conference on Rotor Dynamics–IFToMM …, 2019 | 4 | 2019 |
| An intelligent and robust fault diagnostics for an electromechanical system using vibration and current signals P Gangsar, Z Ali, M Chouksey, A Parey Recent Advances in Manufacturing, Automation, Design and Energy Technologies …, 2022 | 3 | 2022 |
| Machine Learning-Based Fault Prediction of Electromechanical System with Current and Vibration Signals P Gangsar, V Singh, M Chouksey, A Parey International Conference on Vibration Engineering and Technology of …, 2021 | 1 | 2021 |
| Deep learning based optimum fault diagnosis of electrical and mechanical faults in induction motor V Singh, P Gangsar, A Atulkar, R Porwal IOP Conference Series: Materials Science and Engineering 1136 (1), 012059, 2021 | 1 | 2021 |
Rajiv TiwariDepartment of Mechanical Engineering, Indian Institute of Technology Guwahati在 iitg.ac.in 的电子邮件经过验证
