Multi-mode non-Gaussian variational autoencoder network with missing sources for anomaly detection of complex electromechanical equipment

Anomaly detection is crucial to the safety of complex electromechanical equipment. With the rapid accumulation of industrial data, intelligent methods without human intervention have become the mainstream of anomaly detection. Among them, variational autoencoder (VAE) performs well in anomaly detect...

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Veröffentlicht in:	ISA transactions 2023-03, Vol.134, p.144-158
Hauptverfasser:	Luo, Qinyuan, Chen, Jinglong, Zi, Yanyang, Chang, Yuanhong, Feng, Yong
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomaly detection Electromechanical equipment Fault diagnosis Neural network Variational autoencoder
Online-Zugang:	Volltext
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