Mechanical Fault Detection Using Fuzzy Index Fusion

被引：0

作者：

Boutros, Tony ^{[1
]}

Liang, Ming ^{[1
]}

机构：

[1] Univ Ottawa, Dept Mech Engn, Ottawa, ON K1N 6N5, Canada

来源：

IEEE CIRCUITS AND SYSTEMS INTERNATIONAL CONFERENCE ON TESTING AND DIAGNOSIS | 2009年

关键词：

Fuzzy index; monitoring; fault detection; SENSOR FUSION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper reports a simple yet effective fuzzy fusion approach. With this approach, several important machine fault indices can be turned into a single comprehensive fault indicator, fuzzy fused index (FFI). The FFI has been successfully applied to different tasks: tool condition monitoring in milling operations and bearing condition monitoring for a motor, using the same fuzzy rule base. This clearly shows the effectiveness and versatility of the fuzzy fused index.

引用

页码：674 / 677

页数：4

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