Title :
Mechanical Fault Detection Using Fuzzy Index Fusion
Author :
Boutros, Tony ; Liang, Ming
Author_Institution :
Dept. of Mech. Eng., Univ. of Ottawa Ottawa, Ottawa, ON
Abstract :
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.
Keywords :
condition monitoring; fault diagnosis; fuzzy set theory; milling; milling machines; bearing condition monitoring; condition monitoring; fuzzy index fusion; machine fault indices; mechanical fault detection; milling operations; motor; Condition monitoring; Electrical capacitance tomography; Fault detection; Fuzzy sets; Mechanical engineering; Milling; Power generation; Robustness; Sensor fusion; Turbines;
Conference_Titel :
Testing and Diagnosis, 2009. ICTD 2009. IEEE Circuits and Systems International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-2587-7
DOI :
10.1109/CAS-ICTD.2009.4960837
