Paper Title:
A GAFCM Clustering Analysis Model for Diesel Engine Faulty Diagnosis
  Abstract

A general fuzzy clustering analysis theory method is introduced at first, then a GAFCM algorithm and its implement steps are given. The diagnosis types of the test samples are judged by getting across the most of the Euclid pressing close degree choosing approximately principle. Practice proves that this method can be used to diagnose the diesel engine vibration faulty.

  Info
Periodical
Advanced Materials Research (Volumes 199-200)
Edited by
Jianmin Zeng, Zhengyi Jiang, Taosen Li, Daoguo Yang and Yun-Hae Kim
Pages
745-748
DOI
10.4028/www.scientific.net/AMR.199-200.745
Citation
X. G. Chen, "A GAFCM Clustering Analysis Model for Diesel Engine Faulty Diagnosis", Advanced Materials Research, Vols. 199-200, pp. 745-748, 2011
Online since
February 2011
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