Fault diagnosis of Tennessee Eastman process using signal geometry matching technique

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...

Full description

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

Internet

http://asp.eurasipjournals.com/content/2011/1/83

Similar Items