首页> 外文期刊>Mathematical Problems in Engineering >Intelligent Fault Inference of Inverters Based on a Three-Layer Bayesian Network
【24h】

Intelligent Fault Inference of Inverters Based on a Three-Layer Bayesian Network

机译:基于三层贝叶斯网络的逆变器智能故障推断

获取原文
获取原文并翻译 | 示例
           

摘要

A three-layer Bayesian intelligent fault inferencemodel (BIFIM) for an inverter is established to infer the probable uncertain faults. The topological structure of the BIFIM includes the inverter's operation conditions for the first layer, the inverter's faults for the second layer, and the fault symptoms for the third layer, which combines the field technicians' knowledge and experiences with historical running data. The prior probability table of the root node is acquired by the method of basic probabilities corrected historical operation data. The conditional probability parameter table of the BIFIM is obtained by the improved maximum expectation algorithm. Four kinds of incomplete evidence were reasoned and verified, including simple evidence with obvious support, incomplete evidence information, complex evidence without obvious support, and evidence with information conflict. The proposed strategy can make use of the available evidences to inference the probabilities of faults, indicating different reasoning abilities under the different degree of completeness of evidence, especially demonstrating the same inference result under some incomplete evidence information as under complete evidence information.
机译:建立了一个三层贝叶斯智能故障,以推断出可能的不确定故障,建立了一个用于逆变器的斜视智能故障令人信服(BIFIM)。 BIFIM的拓扑结构包括第一层的逆变器的操作条件,第二层的逆变器的故障以及第三层的故障症状,它将现场技术人员的知识和经验与历史运行数据相结合。通过基本概率校正的历史操作数据的方法获取根节点的先前概率表。通过改进的最大预期算法获得BIFIM的条件概率参数表。有四种不完整的证据被推理和验证,包括明显支持,不完整的证据信息,无明显支持的复杂证据以及信息冲突的证据。拟议的策略可以利用可用的证据推断出故障的概率,表明在不同的证据完整性程度下的不同推理能力,特别是根据完整证据信息的一些不完整的证据信息证明相同的推理结果。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2019年第13期|3653746.1-3653746.15|共15页
  • 作者单位

    Henan Polytech Univ Sch Elect Engn & Automat Jiaozuo 454000 Peoples R China;

    Henan Polytech Univ Sch Elect Engn & Automat Jiaozuo 454000 Peoples R China;

    Henan Polytech Univ Sch Elect Engn & Automat Jiaozuo 454000 Peoples R China;

    Henan Polytech Univ Sch Elect Engn & Automat Jiaozuo 454000 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