Multiple failure behaviors identification and remaining useful life prediction of ball bearings. - Pradeep Kundu; Seema Chopra; Bhupesh K. Lad (J. Intell. Manuf., 2019)

Automatic Identification of Most Suitable Sensors and Health Indicators for Cutting Tool Wear Prediction in Smart Manufacturing Systems. - Pradeep Kundu; Xichun Luo; Yi Qin (ICAC, 2021)

RVFR: Random vector forest regression model for integrated & enhanced approach in forest fires predictions. - Robin Singh Bhadoria; Manish Kumar Pandey; Pradeep Kundu (Ecol. Informatics, 2021)

State-space modeling and novel entropy-based health indicator for dynamic degradation monitoring of rolling element bearing. - Anil Kumar 005; Chander Parkash; Govind Vashishtha; Hesheng Tang; Pradeep Kundu; Jiawei Xiang (Reliab. Eng. Syst. Saf., 2022)

A hybrid prognosis approach for life prediction of gears subjected to progressive pitting failure mode. - Pradeep Kundu; Makarand S. Kulkarni; Ashish K. Darpe (J. Intell. Manuf., 2023)

Entropy-based domain adaption strategy for predicting remaining useful life of rolling element bearing. - Anil Kumar 005; Chander Parkash; Yuqing Zhou; Pradeep Kundu; Jiawei Xiang; Hesheng Tang; Govind Vashishtha; Sumika Chauhan (Eng. Appl. Artif. Intell., 2024)

Review of rotating machinery elements condition monitoring using acoustic emission signal. - Pradeep Kundu (Expert Syst. Appl., 2024)

A novel technique for multiple failure modes classification based on deep forest algorithm. - John Taco; Pradeep Kundu; Jay Lee (J. Intell. Manuf., 2024)

Enhanced deep learning framework for accurate near-failure RUL prediction of bearings in varying operating conditions. - Anil Kumar 005; Chander Parkash; Pradeep Kundu; Hesheng Tang; Jiawei Xiang (Adv. Eng. Informatics, 2025)