Residual-based fault detection using soft computing techniques for condition monitoring at rolling mills

Information Sciences

Volumn 259, Issue , 2014, Pages 304-320

  Serdio, Francisco ^a   Lughofer, Edwin ^a   Pichler, Kurt ^b   Buchegger, Thomas ^b   Efendic, Hajrudin ^a  

^a JOHANNES KEPLER UNIVERSITY LINZ   (Austria)

^b Austrian Center of Competence in Mechatronics   (Austria)

Author keywords

Fuzzy systems extraction; Genetic Box Cox; On line dynamic residual analysis; Residual based fault detection; System identification

Indexed keywords

DEGREE OF NON-LINEARITY; GENETIC BOX-COX; MODEL UNCERTAINTIES; RESIDUAL ANALYSIS; SOFTCOMPUTING TECHNIQUES; STATE-OF-THE-ART APPROACH; STATISTICAL TECHNIQUES; TAKAGI SUGENO FUZZY MODELS;

CONDITION MONITORING; IDENTIFICATION (CONTROL SYSTEMS); ROLLING MILLS; SOFT COMPUTING; UNCERTAINTY ANALYSIS;

FAULT DETECTION;

EID: 84889653259     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2013.06.045     Document Type: Article

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