Title :
Application of fault diagnosis expert system in grinding process
Author :
Qin, Wei ; Yan, Wenjun ; Xu, Jing
Author_Institution :
Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
Abstract :
Directing at the complex structure, cockamamie production technology and great operation difficulty of vertical roller mill, this paper constructs the fault expert system to guide and optimize the grinding process. First, the expert database is established with fuzzy cluster analysis, principal component analysis (PCA) and tendency analysis. With support vector machine (SVM) regression, the multiple regression equations of main operation loops are fitted. In online, by looking up expert database and corresponding equations, the system gives out adjustment suggestions according to the variation tendency. Making use of OPC and VC++ techniques, this system has been applied in the practical field. The practical running conditions indicate that this system is effective and credible.
Keywords :
condition monitoring; expert systems; fault diagnosis; fuzzy set theory; grinding; pattern clustering; powder technology; principal component analysis; production engineering computing; regression analysis; rolling mills; support vector machines; OPC techniques; VC++ techniques; cockamamie production technology; fault diagnosis expert system; fuzzy cluster analysis; grinding process; multiple regression equations; principal component analysis; support vector machine; tendency analysis; vertical roller mill; Databases; Employee welfare; Equations; Expert systems; Mathematical model; Monitoring; Principal component analysis; Expert System; Fuzzy Cluster Analysis; PCA; SVM; Vertical Roller Mill;
Conference_Titel :
Automation and Logistics (ICAL), 2010 IEEE International Conference on
Conference_Location :
Hong Kong and Macau
Print_ISBN :
978-1-4244-8375-4
Electronic_ISBN :
978-1-4244-8374-7
DOI :
10.1109/ICAL.2010.5585295