Non-Gaussian process monitoring based on NGPP-SVDD

Zidonghua Xuebao/ Acta Automatica Sinica

Volumn 35, Issue 1, 2009, Pages 107-112

  Xie, Lei ^a   Liu, Xue Qin ^a   Zhang, Jian Ming ^a   Wang, Shu Qing ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

Author keywords

Fault detection; Independent component analysis (ICA); Particle swarm optimization (PSO); Support vector data description (SVDD)

Indexed keywords

DATA DESCRIPTION; FAULT DETECTION; FOURIER TRANSFORMS; GAUSSIAN NOISE (ELECTRONIC); HEMODYNAMICS; IMAGE SEGMENTATION; INDEPENDENT COMPONENT ANALYSIS; MULTIVARIANT ANALYSIS; OPTICAL COMMUNICATION; OPTIMIZATION; PROCESS CONTROL; PROCESS ENGINEERING; PROCESS MONITORING; STATISTICAL PROCESS CONTROL; TRELLIS CODES;

FAST ICA; FAST INDEPENDENT COMPONENT ANALYSIS; FEATURE SPACES; GAUSSIAN; GAUSSIAN COMPONENTS; INDEPENDENT COMPONENT ANALYSIS (ICA); LOCAL MINIMUMS; MELTING PROCESS; MONITORING APPROACHES; MULTIVARIATE PROCESS; NON-GAUSSIAN PROCESS; NUMERICAL STUDIES; STATISTICAL INFERENCES; STATISTICAL PROCESS MONITORING; SUPPORT VECTOR DATA DESCRIPTION (SVDD);

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 60149090150     PISSN: 02544156     EISSN: None     Source Type: Journal    
DOI: 10.3724/SP.J.1004.2009.00107     Document Type: Article

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