Wavelet Neural Networks for Fault Diagnosis and Prognosis

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.