Title :
Notice of Retraction
Tool condition and machine component monitoring by fuzzy indices
Author :
Boutros, T. ; Ming Liang
Author_Institution :
Medium Support Vehicle Syst., Nat. Defense Headquarters, Gatineau, QC, Canada
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
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 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 :
computerised monitoring; condition monitoring; fault diagnosis; fuzzy set theory; machine components; production engineering computing; bearing condition monitoring; fuzzy fused index; fuzzy fusion approach; fuzzy rule base; machine component monitoring; machine fault index; milling operation; single comprehensive fault indicator; tool monitoring; Condition monitoring; Fault detection; Fuzzy sets; Fuzzy systems; Machine components; Mechanical engineering; Milling; Robustness; Sensor fusion; Turbines; Fuzzy index; fault detection; monitoring;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5486294
