DocumentCode
3242175
Title
Study on early warning system of the electrical spindle failures
Author
Guo, Guizhong ; Mao, Xinhua
Author_Institution
Xinxiang Univ., Xinxiang, China
fYear
2011
fDate
27-29 May 2011
Firstpage
627
Lastpage
629
Abstract
According to the relation of the operating status of equipment and equipment failures, it is available to build on a mathematical model between the monitoring signal of electrical spindle and information of equipment failures. It makes information of equipment failures automatically identified by computers. Combining with the traditional fault diagnosis method based on expert system, it can timely and reliably find failure signal of the electrical spindle, and achieve early warning capabilities about electrical spindle failures.
Keywords
alarm systems; machine tool spindles; mathematical analysis; early warning system; electrical spindle failure; equipment failure; equipment status; expert system; failure signal; fault diagnosis method; mathematical model; monitoring signal; Monitoring; Reliability; electrical spindle; equipment monitoring; fault early warning;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-61284-485-5
Type
conf
DOI
10.1109/ICCSN.2011.6014804
Filename
6014804
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