Fault diagnosis using support vector machine with an application in sheet metal stamping operations

Author： Ge M.   Du R.   Zhang G.   Xu Y.  

Publisher： Elsevier

ISSN： 0888-3270

Source： Mechanical Systems and Signal Processing, Vol.18, Iss.1, 2004-01, pp. : 143-159

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

A Novel Background Subtraction Method Using Multiclass Support Vector Machine

By  

Applied Mechanics and Materials, Vol. 2014, Iss. 701, 2015-01 ,pp. : 265-269

Trans Tech Publications

Access to resources Recommend Favorite

Support Vector Machine Based Method of Earthed Fault Location in Neutral Un-Effectual Grounded Power System

By  

Applied Mechanics and Materials, Vol. 2015, Iss. 737, 2015-04 ,pp. : 226-233

Trans Tech Publications

Access to resources Recommend Favorite

A Study on the Classification Ability of Decision Tree and Support Vector Machine in Gearbox Fault Detection

By  

Applied Mechanics and Materials, Vol. 2015, Iss. 813, 2015-12 ,pp. : 1058-1062

Trans Tech Publications

Access to resources Recommend Favorite

Hidden Markov Model based fault diagnosis for stamping processes

By Ge M.   Du R.   Xu Y.  

Mechanical Systems and Signal Processing, Vol. 18, Iss. 2, 2004-03 ,pp. : 391-408

Elsevier

Access to resources Recommend Favorite

Mill Gear Box of Intelligent Diagnosis Based on Support Vector Machine Parameters Optimization

By  

Applied Mechanics and Materials, Vol. 2014, Iss. 697, 2015-01 ,pp. : 239-243

Trans Tech Publications

Access to resources Recommend Favorite