Intelligent Sensorless Fault Diagnosis of Mechatronics ModuleWavelet Transformation Based

摘要

This study describes a fault diagnosis system for mechatronics modules realized through thecombination of wavelet transformation, fuzzy logic and neural network techniques. As a reference base we haveselected Daubechies wavelet. Fault diagnoses accomplish the characteristic frequencies using the fuzzy logicin aggregate neural network. The combination of advanced techniques reduces the learning time and increasesthe diagnosis accuracy. The experimental results indicate that the proposed method is promising for themechatronics modules.