基于D-S证据理论的模拟电路故障诊断
Fault Diagnosis in Analog Circuits Based on D-S Evidential Theory
模拟电路故障诊断对于电子设备及系统的正常运行具有重要意义,本文以探索基于多信息融合的模拟电路故障诊断方法作为核心,研究模拟电路决策层融合的智能诊断方法。提出了一种基于D-S证据理论与BP神经网络的多信息融合故障诊断模型,并结合实例验证了多信息融合方法可以明显提升故障诊断率。
nalog circuit fault diagnosis has important significance for the normal operation of electronic equipment and its systems, the core of this paper is to explore the integration of analog circuit fault diagnosis method based on multiple information,study the intelligent diagnosis method of decision-making integration of analog circuits. Verified based on DS evidence theory and BP neural network information fusion fault diagnosis model, combined with an instance of the multi-information fusion method can significantly enhance the rate of fault diagnosis.
李志华、戴薇
电子电路
故障诊断模拟电路-S证据理论BP神经网络
Fault Diagnosisnalog circuit-S Evidential TheoryNeural Network
李志华,戴薇.基于D-S证据理论的模拟电路故障诊断[EB/OL].(2012-05-22)[2025-08-03].http://www.paper.edu.cn/releasepaper/content/201205-370.点此复制
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