Rapid detection of small oscillation faults via deterministic learning

IEEE Transactions on Neural Networks

Volumn 22, Issue 8, 2011, Pages 1284-1296

  Wang, Cong ^a   Chen, Tianrui ^b  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Deterministic learning; dynamical pattern recognition; fault detection; persistent excitation condition; radial basis function neural networks; small oscillation faults

Indexed keywords

DETERMINISTIC LEARNING; DYNAMICAL PATTERN; PERSISTENT EXCITATION CONDITIONS; RADIAL BASIS FUNCTION NEURAL NETWORKS; SMALL OSCILLATIONS;

NEURAL NETWORKS; PATTERN RECOGNITION; RADIAL BASIS FUNCTION NETWORKS; SYSTEM THEORY;

FAULT DETECTION;

ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; METHODOLOGY; TIME;

ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; TIME FACTORS;

EID: 80051551419     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2011.2159622     Document Type: Article

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