Title :
Wavelet Neural Networks for Fault Diagnosis and Prognosis
Author :
Berenji, Hamid R. ; Wang, Yan
Author_Institution :
Intelligent Inference Syst. Corp., Moffett Field
Abstract :
Wavelet Neural Networks have been developed for fault diagnosis and prognosis with unique capabilities in addressing identification and classification problems. A fault diagnostic and prognostic system is presented by using Wavelet Neural Networks and Dynamic Wavelet Neural Networks. We used a Matlab Simulink model of a chiller system and applied the Wavelet Neural Network to detect and recover sensor errors. It has been shown that this method gains good performance in sensor fault diagnostics.
Keywords :
fault diagnosis; mathematics computing; neural nets; wavelet transforms; Matlab Simulink model; chiller system; dynamic wavelet neural network; fault diagnosis; fault prognosis; sensor error recovery; Artificial neural networks; Fault diagnosis; Image resolution; Intelligent sensors; Intelligent systems; Mathematical model; NASA; Neural networks; Performance gain; Sensor systems;
Conference_Titel :
Fuzzy Systems, 2006 IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9488-7
DOI :
10.1109/FUZZY.2006.1681883
