Fault detection in the Tennessee Eastman benchmark process with nonlinear singular spectrum analysis

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Fault detection in the Tennessee Eastman benchmark process with nonlinear singular spectrum analysis

Â© 2017 Multivariate statistical process monitoring methods aim at detecting and identifying faults in the performance of processes over time in order to keep the process under control. Singular spectrum analysis (SSA) is a potential tool for multivariate process monitoring. It allows the decomposit...

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Bibliographic Details
Main Authors:	Krishnannair, S., Aldrich, Chris
Format:	Journal Article
Published:	2017
Online Access:	http://hdl.handle.net/20.500.11937/63360

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