DocumentCode :
3216381
Title :
Application of intelligent fault diagnosis technology in NC machine tool fault diagnosis
Author :
Wang, Jiao ; Qi, Meiling
Author_Institution :
Software Inst., Dalian Jiaotong Univ., Dalian, China
Volume :
4
fYear :
2011
fDate :
29-31 July 2011
Abstract :
The paper takes NC machine as object, mainly introduced the reasoning mechanism of NC machine tool fault diagnosis, namely, RBR and CBR coordinated operation diagnosis mechanism. Rules, cases and feature data are separately stored in the database combined with the structure and functions of NC machine tool. Rules are summarized from cases, and take diagnostic reasoning under the help of RBF cloud-neural network, which overcomes the shortcoming of hard access, and rules also as a guider in case reasoning on the other hand, which makes the fault fast positioned, improves the efficiency of diagnosis. At last, the paper takes JSP as development technology, Spring + hibernate + Struts2 as a framework, developed B/S NC machine tool failure diagnosis system, which has better diagnostic capabilities.
Keywords :
case-based reasoning; fault diagnosis; knowledge based systems; machine tools; maintenance engineering; mechanical engineering computing; neural nets; numerical control; CBR coordinated operation diagnosis; Hibernate; JSP; NC machine tool fault diagnosis; RBF cloud-neural network; RBR coordinated operation diagnosis; Spring; Struts2; case based reasoning; intelligent fault diagnosis technology; reasoning mechanism; rule based reasoning; Manganese; Springs; NC machine tool; RBR_CBR; cloud-neural network; failure diagnosis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and Optoelectronics (ICEOE), 2011 International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-61284-275-2
Type :
conf
DOI :
10.1109/ICEOE.2011.6013521
Filename :
6013521
Link To Document :
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