Fuzzy clustering and time-frequency approach for fault diagnosis

被引：0

作者：

Stefanoiu, D ^{[1
]}

Ionescu, F ^{[1
]}

Popescu, D ^{[1
]}

机构：

[1] Politehn Univ Bucharest, Dept Automat Control & Comp Sci, Bucharest 77206, Romania

来源：

KNOWLEDGE-BASED INTELLIGENT INFORMATION ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, PTS 1 AND 2 | 2001年 / 69卷

关键词：

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 method integrating two very different approaches (fuzzy modeling and lime-frequency analysis) is proposed in this paper. regarding the general problem of fault diagnosis by using vibrations. The fuzzy model is aiming to construct and update a primary set of possible faults classifications. The purpose of time-frequency analysis is to refine the classification above by detecting the intimate changes within vibration. with the help of a time-frequency dictionary tuned on the fuzzy model. By learning, a knowledge basis can be built and upgraded depending on vibration signature inside the dictionary, in order to perform diagnosis.

引用

页码：278 / 282

页数：5

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