Fault diagnosis of Tennessee Eastman process using signal geometry matching technique

<p>Abstract</p> <p>This article employs adaptive rank-order morphological filter to develop a pattern classification algorithm for fault diagnosis in benchmark chemical process: Tennessee Eastman process. Rank-order filtering possesses desirable properties of dealing with nonlinear...

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Bibliographic Details
Published in:	EURASIP Journal on Advances in Signal Processing
Main Authors:	Li Han, Xiao De-yun
Format:	Article
Language:	English
Published:	SpringerOpen 2011-01-01
Subjects:	fault diagnosis pattern matching adaptive rank-order morphological filtering Tennessee Eastman process
Online Access:	http://asp.eurasipjournals.com/content/2011/1/83

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