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文章基本信息

  • 标题:The Diagnosis of Abnormal Assembly Quality Based on Fuzzy Relation Equations
  • 本地全文:下载
  • 作者:Dong-Ying Li ; Gen-Bao Zhang ; Meng-Qi Li
  • 期刊名称:Advances in Mechanical Engineering
  • 印刷版ISSN:1687-8140
  • 电子版ISSN:1687-8140
  • 出版年度:2014
  • 卷号:2014
  • DOI:10.1155/2014/437364
  • 出版社:Sage Publications Ltd.
  • 摘要:The relationship between quality abnormality and anomalous causes in the assembly process of CNC machine was described by fuzzy relation equations, because they were not one to one. The fuzzy relation equations were established according to the fuzzy relation matrix and membership degree of abnormality mode and were translated into optimal solution problems by fuzzy deconvolution method. The interval solution of the fuzzy relation equation was obtained by minimal mean square error of BP algorithm, realizing section locating of the contribution of anomalous causes to quality abnormality for a given problem, thereby gaining the optimal solution. Finally, the viability and effectiveness of this method were verified by the quality abnormity diagnosis in the assembly process of a NC rotary table.
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