A process fault diagnosis method using multi‐time scale dynamic feature extraction based on convolutional neural network

Unlike many other techniques used in process control, which are widely applied in practice and play significant roles, abnormal situation management (ASM) still relies heavily on human experience, not least because the problem of fault detection and diagnosis (FDD) has not been well addressed. In th...

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Veröffentlicht in:	Canadian journal of chemical engineering 2020-06, Vol.98 (6), p.1280-1292
Hauptverfasser:	Gao, Xinrui, Yang, Fan, Feng, Enbo
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks convolutional neural network Dynamic characteristics dynamic feature extraction Fault detection Fault diagnosis Feature extraction Neural networks Process controls TE process Time
Online-Zugang:	Volltext
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