Paper Title:
An Circuit Fault Diagnosis Method with K-Means Kernel Density Estimation
  Abstract

A K-Means kernel density estimation was proposed and it was used in the pretreatment process of circuit fault diagnosis. The unequal division and losing division problem caused by the traditional method are solved by this method. It also avoid the singular problem which is usually caused by the high dimension of characteristic data. A kernel function is designed and it was integrated with fuzzy support vector machine method to solve the classification problem of multi-faults . At last, a solution of optimal bandwidth is given to improve the proposed method.

  Info
Periodical
Edited by
Honghua Tan
Pages
203-206
DOI
10.4028/www.scientific.net/AMM.66-68.203
Citation
J. Tang, X. J. Shi, W. G. Zhang, "An Circuit Fault Diagnosis Method with K-Means Kernel Density Estimation", Applied Mechanics and Materials, Vols. 66-68, pp. 203-206, 2011
Online since
July 2011
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