Title :
Study on early warning system of the electrical spindle failures
Author :
Guo, Guizhong ; Mao, Xinhua
Author_Institution :
Xinxiang Univ., Xinxiang, China
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;
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
DOI :
10.1109/ICCSN.2011.6014804
