Dynamic production system diagnosis and prognosis using model-based data-driven method

Expert Systems with Applications

Volumn 80, Issue , 2017, Pages 200-209

  Zou, Jing ^a   Chang, Qing ^a   Arinez, Jorge ^b   Xiao, Guoxian ^b   Lei, Yong ^c  

^a USA   (United States)

^b GENERAL MOTORS CORPORATION   (United States)

^c ZHEJIANG UNIVERSITY   (China)

Author keywords

Data driven modeling; Disruption event; Permanent production loss; Production system diagnosis and prognosis

Indexed keywords

DECISION MAKING; MANUFACTURE; PRODUCTION CONTROL; REAL TIME CONTROL; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

ADVANCED MANUFACTURING SYSTEMS; DATA-DRIVEN MODEL; DISRUPTION EVENT; IDENTIFICATION METHOD; MANUFACTURING SYSTEM MODELING; PRODUCTION LOSS; PRODUCTION SYSTEM; REAL-TIME MANUFACTURING;

COMPUTER CONTROL SYSTEMS;

EID: 85015980732     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2017.03.025     Document Type: Article

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