Fault Diagnosis and Prediction Based on Hybrid Approach of Wavelet Packet and Extenics

Author

Changcheng Xiang

Author_Institution

Autom. Coll. Chongqing Univ.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

5433

Lastpage

5437

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714110

Filename

1714110