DocumentCode
3353634
Title
Prediction of wear for wood planing tool based on genetic-SVM classifier
Author
Xu, Yunjie ; Xiu, Shudong
Author_Institution
Coll. of Eng., Zhejiang Forestry Univ., LinAn, China
fYear
2010
fDate
26-28 June 2010
Firstpage
5834
Lastpage
5836
Abstract
Wear prediction of wood planing tool is very complex, so it is difficult to use the mathematical model to describe their wear. In this study, an intelligent forecasting method based on genetic-support vector machine (GSVM) approach is presented of wood planing tool wear. An new way provides wear prediction of wood planing tool. The test results show that this GSVM model is effective to prediction wear of wood planing tool.
Keywords
genetic algorithms; pattern classification; production engineering computing; support vector machines; woodworking machines; genetic SVM classifier; genetic-support vector machine; intelligent forecasting method; wear prediction; wood planing tool; Application software; Diagnostic expert systems; Educational institutions; Fault diagnosis; Forestry; Machinery; Planing; Support vector machine classification; Support vector machines; Testing; genetic-support vector machine; kernel function parameter; wear prediction; wood planing tool;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7737-1
Type
conf
DOI
10.1109/MACE.2010.5535902
Filename
5535902
Link To Document