Fault detection and identification based on the neighborhood standardized local outlier factor method

Industrial and Engineering Chemistry Research

Volumn 52, Issue 6, 2013, Pages 2389-2402

  Ma, Hehe ^a   Hu, Yi ^a   Shi, Hongbo ^a  

^a School of Information Science and Engineering   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX CHEMICALS; COMPLEX PROCESSES; DIFFERENT OPERATING CONDITIONS; EUCLIDEAN DISTANCE; FAULT DETECTION AND IDENTIFICATION; FAULT IDENTIFICATIONS; GAUSSIANS; GLOBAL MODELS; LOCAL NEIGHBORHOODS; LOCAL OUTLIER FACTOR; MONITORING INDEX; MONITORING MODELS; MULTI-MODALITY; MULTI-MODE PROCESS; MULTIMODES; MULTIVARIATE STATISTICAL PROCESS MONITORING; NON-GAUSSIAN DISTRIBUTION; NUMERICAL EXAMPLE; OPERATING DATA; OPERATING MODES; PROCESS DATA; PROCESS KNOWLEDGE; TENNESSEE EASTMAN PROCESS;

CHEMICAL ENGINEERING; FAULT DETECTION;

STATISTICS;

EID: 84873616584     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie302042c     Document Type: Article

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