Improved multivariate statistical process control for chemical process fault detection and diagnosis

Improved multivariate statistical process control for chemical process fault detection and diagnosis

This thesis demonstrates the application of Multivariate Statistical Process Control (MSPC) monitoring method that is capable of detecting and diagnosing process faults. Conventionally, r Control Chart and Contribution Chart, which have been widely used for these purposes, are not accurate and sensi...

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Bibliographic Details
Main Author:	Lam, Hon Loong (Author)
Format:	Thesis
Published:	2004-11.
Subjects:	TP Chemical technology Thesis
Online Access:	Get fulltext

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