Selecting of Clustering Elements and Identifying of Wearing Parts of Engine
Abstract：The method of judging the wearing parts of engine,for one special vehicle,was expatiated based on fuzzy clustering analytical method and grey relational degree analytical theory through an example.Spectral initial data in variety of clustering elements was selected for identifying of wearing parts.The conclusion revealed that the selection of clustering elements has impact on the fuzzy clustering result immediately as well as the final result of the wearing parts identification.In order to improve veracity,the elements non-existed in engine parts and affected acutely by condition should be eliminated,and standard mode of wearing part should be constructed by engine material.
Keywords：EngineWearing PartFuzzy ClusteringGrey Relational DegreeSpectral Data
Publication Date：2011-01-01
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：5( 8-12 )