Using SVM based method for equipment fault detection in a thermal power plant

Computers in Industry

Volumn 62, Issue 1, 2011, Pages 42-50

  Chen, Kai Ying ^a   Chen, Long Sheng ^b   Chen, Mu Chen ^c   Lee, Chia Lung ^d  

^a NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^b CHAOYANG UNIVERSITY OF TECHNOLOGY   (Taiwan)

^c NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^d Shanghai FirstTech Company Limited   (China)

Author keywords

Classification; Data mining; Maintenance; Support vector machines; Thermal power

Indexed keywords

A-THERMAL; BACK-PROPAGATION NEURAL NETWORKS; CAPACITY UTILIZATION RATE; CLASSIFICATION; CLASSIFICATION PERFORMANCE; COST OF MAINTENANCE; CRITICAL ISSUES; DATA MINING TECHNIQUES; DIMENSION REDUCTION; E MAINTENANCE; FAULT DETECTION SYSTEMS; GROWING DEMAND; HIGH RELIABILITY; LINEAR DISCRIMINANT ANALYSIS; SVM-BASED METHODS; THERMAL POWER;

DATA MINING; DISCRIMINANT ANALYSIS; FAULT DETECTION; INTELLIGENT SYSTEMS; NEURAL NETWORKS; PLANT SHUTDOWNS; POWER PLANTS; SUPPORT VECTOR MACHINES; THERMOELECTRIC POWER PLANTS;

MAINTAINABILITY;

EID: 78649492287     PISSN: 01663615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compind.2010.05.013     Document Type: Article

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