Loading condition monitoring of high-strength bolt connections based on physics-guided deep learning of acoustic emission data

•Life-cycle monitoring of high-strength bolt connections is studied using AE data.•A physics-guided deep learning framework is developed based on EWT, CNN, and GMM.•Manifold damage mechanisms overlapped among different loading stages are diagnosed.•Four loading stages are identified according to pro...

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Vydáno v:	Mechanical systems and signal processing Ročník 206; s. 110908
Hlavní autoři:	Li, Dan, Nie, Jia-Hao, Wang, Hao, Ren, Wei-Xin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.01.2024
Témata:	Acoustic emission Empirical wavelet transform High-strength bolt connections Loading condition monitoring Physics-guided deep learning High-strength bolt connections Acoustic emission Loading condition monitoring Empirical wavelet transform Physics-guided deep learning
ISSN:	0888-3270
On-line přístup:	Získat plný text
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