• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mathematical Problems in Engineering >Fault Diagnosis Method Based on Improved Evidence Reasoning
【24h】

Fault Diagnosis Method Based on Improved Evidence Reasoning

机译：基于改进证据推理的故障诊断方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Evidence reasoning (ER) combined with dimensionless index method can be used in rotating machinery fault diagnosis. In ER algorithm, reliability is mainly obtained in two ways: distance-based method and correlation measure by set theory. In practice, the distance-based method cannot generate high-discrimination reliability in high-coincidence data like dimensionless index data. Therefore, correlation measure by set theory method is used in fault diagnosis more frequently. Because correlation measure by set theory only considers upper bound and lower bound of fault data, we add a regularization term to calculate the relationship between the inner data. Experience result shows that fault diagnosis accuracy had improved, which illustrates that the new reliability can describe data relationship better.
机译：证据推理（ER）结合无量纲指标法可用于旋转机械故障诊断。在ER算法中，可靠性主要通过两种方式获得：基于距离的方法和基于集合理论的相关性度量。实际上，基于距离的方法无法在高一致性数据（如无量纲索引数据）中生成高区分可靠性。因此，基于集合论方法的相关性度量在故障诊断中得到了越来越多的应用。由于基于集合理论的相关度量仅考虑故障数据的上限和下限，因此我们添加了一个正则化项来计算内部数据之间的关系。经验结果表明，故障诊断的准确性有所提高，说明新的可靠性可以更好地描述数据关系。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2019年第5期|7491605.1-7491605.9|共9页
  • 作者

    Xiong Jianbin; Li Chunlin; Cen Jian; Liang Qiong; Cai Yongda;

  • 作者单位

    Guangdong Polytech Normal Univ, Sch Automat, Guangzhou 510000, Guangdong, Peoples R China|Guangdong Prov Key Lab Petrochem Equipment Fault, Maoming 525000, Peoples R China;

    Guangdong Polytech Normal Univ, Sch Automat, Guangzhou 510000, Guangdong, Peoples R China;

    Guangdong Polytech Normal Univ, Sch Automat, Guangzhou 510000, Guangdong, Peoples R China;

    Guangdong Polytech Normal Univ, Sch Automat, Guangzhou 510000, Guangdong, Peoples R China;

    Guangdong Univ Technol, Sch Informat Engn, Guangzhou 510006, Guangdong, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号