Integrated Diagnostic Framework for Process and Sensor Faults in Chemical Industry

Integrated Diagnostic Framework for Process and Sensor Faults in Chemical Industry

This study considers the problem of distinguishing between process and sensor faults in nonlinear chemical processes. An integrated fault diagnosis framework is proposed to distinguish chemical process sensor faults from process faults. The key idea of the framework is to embed the cycle temporal al...

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Bibliographic Details
Main Authors:	Jiaxin Zhang, Wenjia Luo, Yiyang Dai
Format:	Article
Language:	English
Published:	MDPI AG 2021-01-01
Series:	Sensors
Subjects:	process and sensor fault cycle temporal algorithm dynamic kernel principal component analysis reconstruction-based contribution integrated diagnostic framework
Online Access:	https://www.mdpi.com/1424-8220/21/3/822

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