Using MPCA of spectra model for fault detection in a hot strip mill

Journal of Materials Processing Technology

Volumn 209, Issue 8, 2009, Pages 4162-4168

  Chuang, Wei Li ^a   Chen, Cheng Hung ^a   Yen, Jia Yush ^a   Hsu, Yuan Liang ^b  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b CHINA STEEL CORPORATION   (Taiwan)

Author keywords

AR model; Defect detection; Hot strip mill; MPCA

Indexed keywords

AR MODEL; AUTO REGRESSIVE PROCESS; AUTO-REGRESSIVE MODELS; CHINA STEEL CORPORATIONS; DEFECT DETECTION; DIAGNOSTIC METHODS; HOT STRIP MILL; MPCA; POWER SPECTRUM DENSITIES; PRINCIPAL COMPONENTS; SURFACE DAMAGES; TIME-DOMAIN SIGNALS;

FAULT DETECTION; POWER SPECTRUM; PRINCIPAL COMPONENT ANALYSIS; SPECTRUM ANALYSIS; STRIP METAL;

STRIP MILLS;

EID: 64249100502     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2008.10.008     Document Type: Article

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