Fault detection and diagnosis for non-Gaussian stochastic distribution systems with time delays via RBF neural networks

ISA Transactions

Volumn 51, Issue 6, 2012, Pages 786-791

  Yi, Qu ^a   Zhan Ming, Li ^a   Er Chao, Li ^a  

^a LANZHOU UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Non Gaussian stochastic distribution system; Observer based fault detection and diagnosis; Probability density functions; Radial basis functions(RBFs) neural network

Indexed keywords

ELECTRIC FAULT CURRENTS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); PROBABILITY DENSITY FUNCTION; RADIAL BASIS FUNCTION NETWORKS; STOCHASTIC SYSTEMS; TIME DELAY;

FAULT DETECTION AND DIAGNOSIS; NEURAL NETWORK TECHNIQUES; NON-GAUSSIAN STOCHASTIC DISTRIBUTION SYSTEMS; OBSERVER-BASED FAULT DETECTION AND DIAGNOSIS; PROBABILITY DENSITY FUNCTIONS (PDFS); RADIAL BASIS FUNCTIONS NEURAL NETWORKS (RBFS); STOCHASTIC DISTRIBUTION; STOCHASTIC DISTRIBUTION SYSTEMS;

FAULT DETECTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; METHODOLOGY; NORMAL DISTRIBUTION; STATISTICAL MODEL; STATISTICS; TIME;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED; STOCHASTIC PROCESSES; TIME FACTORS;

EID: 84866400393     PISSN: 00190578     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isatra.2012.07.003     Document Type: Article

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