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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Veröffentlicht in:	Mechanical systems and signal processing Jg. 206; S. 110908
Hauptverfasser:	Li, Dan, Nie, Jia-Hao, Wang, Hao, Ren, Wei-Xin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2024
Schlagworte:	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
Online-Zugang:	Volltext
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