Physics-informed hidden markov model for tool wear monitoring

Advanced monitoring of machining operations

Roberto Teti, Krzysztof Jemielniak, Garret E. O’Donnell et al. · CIRP Annals · 2010 · 1.3K citations · Full text

Engineering, Industrial Engineering, Manufacturing Engineering +12

An inequality with applications to statistical estimation for probabilistic functions of Markov processes and to a model for ecology

Leonard E. Baum, J. A. Eagon · Bulletin of the American Mathematical Society · 1967 · 1K citations · Full text

Natural Sciences, Ecology, Mathematics +14

A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests

Dazhong Wu, Connor Jennings, Janis Terpenny et al. · Journal of Manufacturing Science and Engineering · 2017 · 662 citations · Full text

Engineering, Industrial Engineering, Manufacturing Engineering +17

Gaussian process regression for tool wear prediction

Dongdong Kong, Yongjie Chen, Ning Li · Mechanical Systems and Signal Processing · 2017 · 334 citations

Engineering, Manufacturing Engineering, Mechanical Engineering +14

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles

Xiaowei Jia, Jared Willard, Anuj Karpatne et al. · ACM/IMS Transactions on Data Science · 2021 · 287 citations · Full text

Computing, Computer Science, Physics +14