Pradeep Kundu

According to our database, Pradeep Kundu authored at least 14 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A multi-channel data fusion-enabled multilevel graph-guided framework for fault diagnosis in rotating machinery under extreme biased data.

Yue Yu, Hamid Reza Karimi, Pradeep Kundu, Enrico Zio, Ke Feng

Inf. Fusion, 2026

Modulated model network: A physics-informed machine learning method for high-precision signal reconstruction and enhanced fault diagnostics.

Hongkang Wu, Junsheng Cheng, Pradeep Kundu

Eng. Appl. Artif. Intell., 2026

A comprehensive review on generative artificial intelligence models for fault diagnostics and prognostics of rotating machineries.

Tauheed Mian, Pradeep Kundu

Eng. Appl. Artif. Intell., 2026

Review of condition monitoring approaches for ball screws.

Himanshu Gupta, Tauheed Mian, Pradeep Kundu

Adv. Eng. Informatics, 2026

2025

Development of data-driven, physics-based, and hybrid prognosis frameworks: a case study for gear remaining useful life prediction.

Pradeep Kundu, Ashish K. Darpe, Makarand S. Kulkarni

J. Intell. Manuf., October, 2025

Enhanced deep learning framework for accurate near-failure RUL prediction of bearings in varying operating conditions.

Anil Kumar, Chander Parkash, Pradeep Kundu, Hesheng Tang, Jiawei Xiang

Adv. Eng. Informatics, 2025

2024

A novel technique for multiple failure modes classification based on deep forest algorithm.

John Taco, Pradeep Kundu, Jay Lee

J. Intell. Manuf., October, 2024

Review of rotating machinery elements condition monitoring using acoustic emission signal.

Pradeep Kundu

Expert Syst. Appl., 2024

Entropy-based domain adaption strategy for predicting remaining useful life of rolling element bearing.

Anil Kumar, Chander Parkash, Yuqing Zhou, Pradeep Kundu, Jiawei Xiang, Hesheng Tang, Govind Vashishtha, Sumika Chauhan

Eng. Appl. Artif. Intell., 2024

2023

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., March, 2023

2022

State-space modeling and novel entropy-based health indicator for dynamic degradation monitoring of rolling element bearing.

Anil Kumar, Chander Parkash, Govind Vashishtha, Hesheng Tang, Pradeep Kundu, Jiawei Xiang

Reliab. Eng. Syst. Saf., 2022

2021

<i>RVFR</i>: Random vector forest regression model for integrated & enhanced approach in forest fires predictions.

Robin Singh Bhadoria, Manish Kumar Pandey, Pradeep Kundu

Ecol. Informatics, 2021

Automatic Identification of Most Suitable Sensors and Health Indicators for Cutting Tool Wear Prediction in Smart Manufacturing Systems.

Pradeep Kundu, Xichun Luo, Yi Qin

Proceedings of the 26th International Conference on Automation and Computing, 2021

2019

Multiple failure behaviors identification and remaining useful life prediction of ball bearings.

Pradeep Kundu, Seema Chopra, Bhupesh K. Lad

J. Intell. Manuf., 2019