| Weibull accelerated failure time regression model for remaining useful life prediction of bearing working under multiple operating conditions P Kundu, AK Darpe, MS Kulkarni Mechanical Systems and Signal Processing 134, 106302, 2019 | 100 | 2019 |
| VMD based trigonometric entropy measure: a simple and effective tool for dynamic degradation monitoring of rolling element bearing A Kumar, CP Gandhi, G Vashishtha, P Kundu, H Tang, A Glowacz, ... Measurement Science and Technology 33 (1), 014005, 2021 | 77 | 2021 |
| Integrated Cyber-Physical Systems and Industrial Metaverse for Remote Manufacturing J Lee, P Kundu Manufacturing Letters, 2022 | 63 | 2022 |
| A correlation coefficient based vibration indicator for detecting natural pitting progression in spur gears P Kundu, AK Darpe, MS Kulkarni Mechanical Systems and Signal Processing 129, 741-763, 2019 | 59 | 2019 |
| Multiple failure behaviors identification and remaining useful life prediction of ball bearings P Kundu, S Chopra, BK Lad Journal of Intelligent Manufacturing 30, 1795-1807, 2019 | 54 | 2019 |
| State-space modeling and novel entropy-based health indicator for dynamic degradation monitoring of rolling element bearing A Kumar, C Parkash, G Vashishtha, H Tang, P Kundu, J Xiang Reliability Engineering & System Safety 221, 108356, 2022 | 48 | 2022 |
| A review on diagnostic and prognostic approaches for gears P Kundu, AK Darpe, MS Kulkarni Structural Health Monitoring 20 (5), 2853-2893, 2021 | 48 | 2021 |
| An ensemble decision tree methodology for remaining useful life prediction of spur gears under natural pitting progression P Kundu, AK Darpe, MS Kulkarni Structural Health Monitoring 19 (3), 854-872, 2020 | 47 | 2020 |
| RVFR: random vector forest regression model for integrated & enhanced approach in forest fires predictions RS Bhadoria, MK Pandey, P Kundu Ecological Informatics 66, 101471, 2021 | 25 | 2021 |
| Gear pitting severity level identification using binary segmentation methodology P Kundu, AK Darpe, MS Kulkarni Structural Control and Health Monitoring 27 (3), e2478, 2020 | 19 | 2020 |
| A review on condition monitoring technologies for railway rolling stock P Kundu, AK Darpe, SP Singh, K Gupta Proceedings of the PHM Society European Conference, Philadelphia, PA, USA 13, 2018 | 17 | 2018 |
| Prediction of Remaining Useful Life of anAircraft Engine under Unknown Initial Wear AK Jain, P Kundu, BK Lad | 14 | 2014 |
| Discrete entropy-based health indicator and LSTM for the forecasting of bearing health Y Zhou, A Kumar, CP Gandhi, G Vashishtha, H Tang, P Kundu, M Singh, ... Journal of the Brazilian Society of Mechanical Sciences and Engineering 45 …, 2023 | 8 | 2023 |
| Cyber-Physical Systems Framework for Predictive Metrology in Semiconductor Manufacturing Process J Lee, D Huwei, DY Ji, P Kundu International Journal of Precision Engineering and Manufacturing-Smart …, 2023 | 8 | 2023 |
| A machine learning-based framework for automatic identification of process and product fingerprints for smart manufacturing systems P Kundu, X Luo, Y Qin, Y Cai, Z Liu Journal of Manufacturing Processes, 2021 | 8 | 2021 |
| Development of a risk based maintenance strategy to optimize forecast of a gas turbine failures P Kundu, S Chopra, BK LAD International Journal of Performability Engineering 11 (5), 407, 2015 | 7 | 2015 |
| Stream-of-Quality methodology for industrial Internet-based manufacturing system J Lee, P Gore, X Jia, S Siahpour, P Kundu, K Sun Manufacturing Letters 34, 58-61, 2022 | 6 | 2022 |
| A novel methodology for health assessment in printed circuit boards J Taco, P Gore, T Minami, P Kundu, A Suer, J Lee PHM Society European Conference 7 (1), 556-562, 2022 | 6 | 2022 |
| PCA-ANN Based Approach for Remaining Useful Life Prediction for Roller Ball Bearings P Kundu, BK Lad International Conference on Business Analytics and Intelligence, 2015 | 6 | 2015 |
| An adaptive feature mode decomposition based on a novel health indicator for bearing fault diagnosis S Chauhan, G Vashishtha, R Kumar, R Zimroz, MK Gupta, P Kundu Measurement 226, 114191, 2024 | 5 | 2024 |
Makarand KulkarniProfessor, IIT BombayVerified email at iitb.ac.in
