Information fusion method in fault modes

Weiwei Hu, Jin Qi, H. Mou, Yufeng Sun
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引用次数: 1

Abstract

With more and more importance attached on the reliability of electronic products, in order to solve the problems occurred during the fault diagnosis and reasoning of electronic products, this paper takes the simulation-based circuit signal as the project, and in-depth studies information fusion methods for failure mode identification. Then this paper establishes the information fusion model of the fault circuit, and raises the basic probability distribution function for the neural network and enriched the applications of the DS evidence theory. In the end the failure mode identification of the circuit was achieved, which provided support for a higher level to fault reasoning.
故障模式信息融合方法
随着人们对电子产品可靠性的日益重视,为了解决电子产品故障诊断与推理过程中出现的问题,本文以基于仿真的电路信号为项目,对故障模式识别的信息融合方法进行了深入研究。然后建立了故障电路的信息融合模型,提出了神经网络的基本概率分布函数,丰富了DS证据理论的应用。最后实现了电路的故障模式识别,为更高层次的故障推理提供了支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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