Physics-driven Bayesian long short-term memory network for machinery remaining useful life prediction with uncertainty estimation

Fusing physics-based and deep learning models for prognostics

Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel et al. · Repository for Publications and Research Data (ETH Zurich) · 2022 · 349 citations · Full text

Computing, Computer Science, Physics +17

Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges

Yanwen Xu, Sara Kohtz, Jessica Boakye et al. · Reliability Engineering & System Safety · 2022 · 327 citations

Computing, Physics, Systems Engineering +14

Physics-Informed Residual Network (PIResNet) for rolling element bearing fault diagnostics

Qing Ni, Jinchen Ji, Benjamin Halkon et al. · Mechanical Systems and Signal Processing · 2023 · 300 citations · Full text

Engineering, Computer Engineering, Mechanical Engineering +13

2011 IEEE International Conference on Prognostics and Health Management

IEEE Transactions on Reliability · 2010 · 287 citations

Nursing, Health Informatics, Health Assessment +11

Physics guided neural network for machining tool wear prediction

Jinjiang Wang, Yilin Li, Rui Zhao et al. · Journal of Manufacturing Systems · 2020 · 279 citations

Engineering, Manufacturing Engineering, Mechanical Engineering +13