Fault diagnosis method of analog circuits using dissimilar information fusion

WU Jun-li; PENG Min-fang; WANG Jia-jia; WANG Pei-li

doi:10.13873/j.1000-97872010.12.010

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Fault diagnosis method of analog circuits using dissimilar information fusion

更新时间：2025-09-11

- Fault diagnosis method of analog circuits using dissimilar information fusion
- Vol. 29, Issue 12, Pages: 35-37+40(2010)
- 作者机构：
  
  湖南大学电气与信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872010.12.010
  CLC： TN710
- Published：2010
- 稿件说明：
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[1]吴俊丽,彭敏放,王嘉家,王佩丽.基于异类信息融合的模拟电路故障诊断方法[J].传感器与微系统,2010,29(12):35-37+40.

WU Jun-li, PENG Min-fang, WANG Jia-jia, et al. Fault diagnosis method of analog circuits using dissimilar information fusion[J]. 2010, 29(12): 35-37+40.
[1]吴俊丽,彭敏放,王嘉家,王佩丽.基于异类信息融合的模拟电路故障诊断方法[J].传感器与微系统,2010,29(12):35-37+40. DOI： 10.13873/j.1000-97872010.12.010.

WU Jun-li, PENG Min-fang, WANG Jia-jia, et al. Fault diagnosis method of analog circuits using dissimilar information fusion[J]. 2010, 29(12): 35-37+40. DOI： 10.13873/j.1000-97872010.12.010.

摘要

针对模拟电路故障诊断中存在的可测节点电压信息不足、单一信息不能表征所有故障状态等问题

提出了一种基于神经网络和D-S证据理论的模拟电路异类信息融合故障诊断方法。该方法首先提取两类故障信息并分别将其输入不同的神经网络对其进行初步诊断

并得到各自的诊断结果

然后根据初步诊断结果

运用D-S证据理论对其进行融合

做出最终决策。

Abstract

In order to solve the problems of insufficient accessible nodes voltage and single information can not represent all the fault state in the analog circuit fault diagnosis

a dissimilar information fusion fault diagnosis method based on neural network

D-S evidence theory is proposed.The different neural network to carry on the preliminary diagnosis to the multi-sort fault information distilled from test circuit.According to the preliminary diagnosis results

ultimate decision-making by means of the fusion using D-S evidence theory.

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references

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小波熵证据的信息融合在电力系统故障诊断中的应用 [J]. 符玲,何正友,麦瑞坤,钱清泉,张鹏. 中国电机工程学报 . 2008(13)

基于信息融合的控制系统中模拟电路故障诊断 [J]. 张超杰,贺国,梁述海,陈国钧. 哈尔滨工程大学学报 . 2007(12)

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基于神经网络的D-S证据理论应用于多传感器目标识别 [J]. 李玉榕,蒋静坪,杨富文. 仪器仪表学报 . 2001(06)

神经计算科学[M]. 国防工业出版社 , 阮晓钢编著, 2006

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