Study on electronic circuit fault diagnosis based on D-S evidential theory

LI Duan; YU Fa-shan

doi:10.13873/j.1000-97872006.09.006

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Study on electronic circuit fault diagnosis based on D-S evidential theory

更新时间：2025-09-11

- Study on electronic circuit fault diagnosis based on D-S evidential theory
- Issue 9, Pages: 17-19(2006)
- 作者机构：
  
  1. 河南理工大学电气工程学院
  2. 河南理工大学电气工程学院,河南,焦作,454000
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872006.09.006
  CLC： TN707
- Published：2006
- 稿件说明：
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[1]李端,余发山.基于D-S融合的电子电路故障诊断研究[J].传感器与微系统,2006(09):17-19.

LI Duan, YU Fa-shan. Study on electronic circuit fault diagnosis based on D-S evidential theory[J]. 2006, (9): 17-19.
[1]李端,余发山.基于D-S融合的电子电路故障诊断研究[J].传感器与微系统,2006(09):17-19. DOI： 10.13873/j.1000-97872006.09.006.

LI Duan, YU Fa-shan. Study on electronic circuit fault diagnosis based on D-S evidential theory[J]. 2006, (9): 17-19. DOI： 10.13873/j.1000-97872006.09.006.

摘要

根据电子电路故障元件诊断的不确定性问题

给出了多传感器D-S信息融合实现电路故障诊断的方法。通过检测电路工作时电子元件的温度和关键点电压两方面数据信息

得出两传感器对各待诊断元件的信度函数分配。再利用D-S联合规则结合模糊逻辑理论

得到融合后的信度函数分配

从而确定故障元件。实验结果说明:多传感器融合算法具有较高的准确率。

Abstract

According to uncertain problem of circuit fault diagnosis

a method of using Dempster-Shafer（D-S） evidential theory and multi-sensor information fusion theory to realize circuit fault diagnosis is presented.The belief function assignment of two sensors to circuit is obtained through the measurement results of the temperature and voltage of circuit component.The fusion belief function assignment is gotten by using D-S rule and fuzzy logic theory

and fault component is found.Experimential results show that multi-sensor information fusion is proved more accurate.

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references

基于故障树分析及虚拟仪器的电子部件故障诊断研究 [J]. 朱大奇,于盛林,陈小平. 仪器仪表学报 . 2002(01)

应用模糊信息融合实现目标物体的分类 [J]. 罗志增,蒋静萍. 仪器仪表学报 . 1999(04)

D-S证据理论在多传感器数据融合中的应用 [J]. 黄瑛,陶云刚,周洁敏,苏登军. 南京航空航天大学学报 . 1999(02)

模拟电路故障诊断原理和方法[M]. 华中理工大学出版社 , 邹锐编著, 1989

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