Industrial Process Fault Detection with Multi-View Feature Fusion Attention Mechanism Assisted Autoencoder Network

Fault detection technology plays a crucial role in ensuring the safety and efficiency of industrial processes. Industrial processes are subject to changing operating conditions, causing their characteristics to evolve over time and exhibit dynamic, non-Gaussian, and non-linear behaviors in the data....

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Vydané v:	IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) (Online) s. 1113 - 1122
Hlavní autori:	Tong, Yifan, Wang, Zhaojing, Yan, Xiaoyun, Hu, Xinrong, Li, Lijun
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.07.2024
Predmet:	Accuracy attention mechanism Attention mechanisms Data mining Data models dynamic feature Fault detection Feature extraction Independent component analysis non-Gaussian feature non-linear feature Security Software quality Software reliability
ISSN:	2693-9371
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