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文章基本信息

  • 标题:Stability Evaluation of Fault Diagnosis Model Based on Elliptic Fourier Descriptor
  • 作者:YanZhu Hu ; Yu Hu ; XinBo Ai
  • 期刊名称:Journal of Control Science and Engineering
  • 印刷版ISSN:1687-5249
  • 电子版ISSN:1687-5257
  • 出版年度:2018
  • 卷号:2018
  • DOI:10.1155/2018/1238231
  • 出版社:Hindawi Publishing Corporation
  • 摘要:The performance evaluation of fault diagnosis algorithm is an indispensable link in the development and acceptance of the fault diagnosis system. Aiming at the stability evaluation of the fault diagnosis model based on the characteristic clustering, an image edge detection method based on the Elliptic Fourier Descriptor (EFDSE) is proposed to evaluate the stability of the fault diagnosis model, which applies similarity measurement of image to effective evaluation of faulty diagnosis algorithm. The quantitative evaluation index of the diagnostic capability of characterization based cluster fault diagnosis model is used to provide reference for the acceptance and reliability of the diagnosis results. Finally, the effectiveness of the stability evaluation is verified by the fault data of the motor bearings.
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