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
收藏
页码：674 / 677
页数：4
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