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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Autores principales: Li Han, Xiao De-yun
Formato: Artigo
Lenguaje:Inglês
Publicado: SpringerOpen 2011-01-01
Colección:EURASIP Journal on Advances in Signal Processing
Materias:
fault diagnosis
pattern matching
adaptive rank-order morphological filtering
Tennessee Eastman process
Acceso en línea:http://asp.eurasipjournals.com/content/2011/1/83
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