Suitable features selection for monitoring thermal condition of electrical equipment using infrared thermography

Infrared Physics and Technology

Volumn 61, Issue , 2013, Pages 184-191

  Huda, A S N ^a   Taib, S ^a  

^a SCHOOL OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

Condition monitoring; Electrical equipment; Features; Infrared thermography; Multilayered perceptron network

Indexed keywords

ELECTRICAL EQUIPMENT; FEATURES; GREY LEVEL CO-OCCURRENCE MATRIXES; INTELLIGENT CLASSIFICATION SYSTEM; LEVENBERG-MARQUARDT ALGORITHM; MULTILAYERED PERCEPTRON NETWORKS; RELIABILITY AND STABILITY; RESILIENT BACKPROPAGATION;

ALGORITHMS; BAYESIAN NETWORKS; CONDITION MONITORING; INTELLIGENT SYSTEMS; NEURAL NETWORKS; SYSTEM STABILITY; THERMOGRAPHY (IMAGING);

EQUIPMENT;

EID: 84884599808     PISSN: 13504495     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.infrared.2013.04.012     Document Type: Article

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