Fault diagnosis and prediction based on hybrid approach of wavelet packet and extenics

被引：0

作者：

Xiang, Changcheng ^{[1
]}

Huang, Xiyue ^{[1
]}

Huang, Darong ^{[2
]}

Yang, Zuyuan ^{[1
]}

机构：

[1] Chongqing Univ, Automat Coll, Chongqing 440044, Peoples R China

[2] Chongqing Univ, Coll Comp, Chongqing 440044, Peoples R China

来源：

WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年

关键词：

wavelet packet; extenics; fault prediction; fault diagnosis;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 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.

引用

页码：5433 / +

页数：2

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