A comparison and evaluation of key performance indicator-based multivariate statistics process monitoring approaches

Journal of Process Control

Volumn 33, Issue , 2015, Pages 112-126

  Zhang, Kai ^a   Hao, Haiyang ^a,b   Chen, Zhiwen ^a   Ding, Steven X ^a   Peng, Kaixiang ^c  

^a UNIVERSITY OF DUISBURG ESSEN   (Germany)

^b Research Center of Shaanxi Fast Auto Drive Group Company ^*  (China)

^c UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

Author keywords

Expected detection delay; Fault detection; Key performance indicators; Multivariate statistics; Process monitoring

Indexed keywords

BENCHMARKING; FAULT DETECTION; FINITE DIFFERENCE METHOD; PROCESS CONTROL; PROCESS MONITORING; STATISTICAL PROCESS CONTROL; WASTE DISPOSAL;

COMPUTATIONAL COSTS; DETECTION DELAYS; GEOMETRIC PROPERTIES; KEY PERFORMANCE INDICATORS; MONITORING APPROACH; MULTIVARIATE STATISTICAL PROCESS MONITORING; MULTIVARIATE STATISTICS; TENNESSEE EASTMAN PROCESS;

MULTIVARIANT ANALYSIS;

EID: 84943634048     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2015.06.007     Document Type: Review

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