Fault detection and self-learning identification based on PCA-PDBNs

Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument

Volumn 36, Issue 5, 2015, Pages 1147-1154

  Wang, Peiliang ^a,b   Xia, Chunjiang ^b  

^a HUZHOU UNIVERSITY   (China)

^b HANGZHOU DIANZI UNIVERSITY   (China)

Author keywords

Deep belief network; Fault detection; Particle swarm optimization; Principal component analysis (PCA); Self learning identification

Indexed keywords

BAYESIAN NETWORKS; COMPLEX NETWORKS; DEEP LEARNING; LEARNING SYSTEMS; PARTICLE SWARM OPTIMIZATION (PSO); PRINCIPAL COMPONENT ANALYSIS; SWARM INTELLIGENCE;

DEEP BELIEF NETWORKS; FAULT DETECTION AND IDENTIFICATION; IDENTIFICATION METHOD; IDENTIFICATION MODEL; IDENTIFICATION PRECISION; PARTICLE SWARM OPTIMIZATION ALGORITHM; SELF-LEARNING; TENNESSEE EASTMAN PROCESS;

FAULT DETECTION;

EID: 84930976790     PISSN: 02543087     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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