Physics-informed machine learning: A comprehensive review on applications in anomaly detection and condition monitoring

Author:

Wu YuandiORCID,Sicard BrettORCID,Gadsden Stephen AndrewORCID

Funder

McMaster University

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Reference168 articles.

1. Physics-informed cyber-attack detection in wind farms;Alotibi,2022

2. Identification of material parameters from full-field displacement data using physics-informed neural networks;Anton,2021

3. Physics-informed machine learning assisted uncertainty quantification for the corrosion of dissimilar material joints;Bansal;Reliability Engineering & System Safety,2022

4. Automatic differentiation in machine learning: A survey;Baydin;Journal of Marchine Learning Research,2018

5. Physics-informed machine learning and uncertainty quantification for mechanics of heterogeneous materials;Bharadwaja;Integrating Materials and Manufacturing Innovation,2022

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