A fault diagnosis scheme for rotating machinery using hierarchical symbolic analysis and convolutional neural network.
Sign Up to like & getrecommendations! Published in 2019 at "ISA transactions"
DOI: 10.1016/j.isatra.2019.01.018
Abstract: Fault diagnosis of rotating machinery is crucial to improve safety, enhance reliability and reduce maintenance cost. The manual feature extraction and selection of traditional fault diagnosis methods depend on signal processing skills and expert experience,… read more here.
Keywords: network; diagnosis; hierarchical symbolic; convolutional neural ... See more keywords
Hierarchical Symbolic Regression for Identifying Key Physical Parameters Correlated with Bulk Properties of Perovskites.
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DOI: 10.1103/physrevlett.129.055301
Abstract: Symbolic regression identifies nonlinear, analytical expressions relating materials properties and key physical parameters. However, the pool of expressions grows rapidly with complexity, compromising its efficiency. We tackle this challenge hierarchically: identified expressions are used as… read more here.
Keywords: hierarchical symbolic; physical parameters; key physical; symbolic regression ... See more keywords