Self adaptive growing neural network classifier for faults detection and diagnosis

Neurocomputing

Volumn 74, Issue 18, 2011, Pages 3865-3876

  Barakat, M ^a,b   Druaux, F ^a   Lefebvre, D ^a   Khalil, M ^b   Mustapha, O ^c  

^a UNIVERSITÉ DU HAVRE   (France)

^b LEBANESE UNIVERSITY   (Lebanon)

^c ISLAMIC UNIVERSITY OF LEBANON   (Lebanon)

Author keywords

Classification; Discrete wavelet transform; Fault detection; Fault diagnosis; Gaussian functions; Neural networks

Indexed keywords

ADVANCED SIGNAL PROCESSING; CHEMICAL PROCESS; CLASSIFICATION METHODS; DETECTION AND DIAGNOSIS; DISCRETE WAVELETS; ERROR FUNCTION; FAULT DETECTION AND DIAGNOSIS; FAULTS DETECTION; GAUSSIAN FUNCTIONS; GAUSSIANS; INDUSTRIAL SYSTEMS; INTELLIGENT TECHNIQUES; MACHINE AVAILABILITY; MACHINE MONITORING; MAINTENANCE COST; MECHANICAL FAULTS; NEURAL NETWORK CLASSIFIER; REAL SIGNALS; ROTARY ELEMENTS; SELF-ADAPTIVE; STOPPING CRITERION; TRAINING AND TESTING; TRAINING DATA; TRAINING TECHNIQUES;

CLASSIFICATION (OF INFORMATION); DISCRETE WAVELET TRANSFORMS; FAILURE ANALYSIS; FAULT DETECTION; MAINTENANCE; SIGNAL DETECTION;

NEURAL NETWORKS;

ACCURACY; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; CLASSIFIER; MATHEMATICAL ANALYSIS; NERVE CELL; PRIORITY JOURNAL; SIGNAL PROCESSING; WAVELET ANALYSIS;

EID: 80053303819     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.08.001     Document Type: Article

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