Title :
Fault Diagnosis and Prediction Based on Hybrid Approach of Wavelet Packet and Extenics
Author :
Changcheng Xiang
Author_Institution :
Autom. Coll. Chongqing Univ.
Abstract :
A hybrid wavelet theory and the extenics set theory approach to diagnose and forecast the fault is proposed in this paper. Firstly, the signal is decomposed by the wavelet packet .The feature is extracted from the signal and the repository is established based on the feature of the fault signal. Next ,the real time signal date is took from the sensor and is decomposed by the same wavelet. Secondly, the fault matter element and evaluation matter element is established based on the repository and the real time signal. The conjunction function is connected with the fault matter element and evaluation matter element and the fault of the real time signal is determined by the conjunction function value, then the corresponding measure is took by the probability fault
Keywords :
fault diagnosis; feature extraction; set theory; signal processing; conjunction function; evaluation matter element; extenics set theory; fault diagnosis; fault matter element; fault prediction; feature extraction; hybrid wavelet theory; probability fault; real time signal date; signal decomposition; Artificial intelligence; Automation; Educational institutions; Fault diagnosis; Feature extraction; Power system security; Protection; Set theory; Wavelet analysis; Wavelet packets; Extenics; Fault Diagnosis; Fault Prediction; Wavelet Packet;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714110
