Research on Fault Diagnosis and Prevention Based on Extension

Zhang Jia-bin; Zhang Jin-chun; Li Ri-hua; Li Chao-ya

doi:10.3969/j.issn.1007-7162.2015.01.003

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Research on Fault Diagnosis and Prevention Based on Extension

更新时间：2026-05-27

- Research on Fault Diagnosis and Prevention Based on Extension
- Vol. 32, Issue 1, Pages: 11-15(2015)
- 作者机构：
- 作者简介：
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- DOI：10.3969/j.issn.1007-7162.2015.01.003
  CLC：
- Published：2015
- 稿件说明：
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张家宾, 张金春, 李日华, 李超亚. 基于可拓学的故障诊断及预防方法研究[J]. 广东工业大学学报, 2015, 32(1): 11-15.

Zhang Jia-bin, Zhang Jin-chun, Li Ri-hua, et al. Research on Fault Diagnosis and Prevention Based on Extension[J]. 2015, 32(1): 11-15.
张家宾, 张金春, 李日华, 李超亚. 基于可拓学的故障诊断及预防方法研究[J]. 广东工业大学学报, 2015, 32(1): 11-15. DOI： 10.3969/j.issn.1007-7162.2015.01.003.

Zhang Jia-bin, Zhang Jin-chun, Li Ri-hua, et al. Research on Fault Diagnosis and Prevention Based on Extension[J]. 2015, 32(1): 11-15. DOI： 10.3969/j.issn.1007-7162.2015.01.003.

摘要

将可拓数据挖掘方法和模式识别技术相结合，用于解决基于大量数据的故障模式识别问题.利用粗糙集理论进行属性约减和权值确定，保证了获得权值的客观性和稳定性.然后用汽车发动机故障诊断的实例验证了模型的可靠性.最后根据基于变换的可拓集分类思想，探讨了故障预防的一种方法.

Abstract

The extension data mining methods and pattern recognition technology are combined to solve the problem of fault diagnosis involved with large amounts of data. By taking advantage of the theory of rough set to make attribute reduction and weight value determination

it ensures the objectivity and stability of weights. Then it verifies the reliability of the model with the example of fault diagnosis of automobile engine. Finally

according to the classification method of extension set based on the transform

this paper presents a method for fault prevention.

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