DocumentCode
2418414
Title
Wavelet Neural Networks for Fault Diagnosis and Prognosis
Author
Berenji, Hamid R. ; Wang, Yan
Author_Institution
Intelligent Inference Syst. Corp., Moffett Field
fYear
0
fDate
0-0 0
Firstpage
1334
Lastpage
1339
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2006 IEEE International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-9488-7
Type
conf
DOI
10.1109/FUZZY.2006.1681883
Filename
1681883
Link To Document