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Research on Directed Fault Propagation Graph Model and Optimization

机译:定向故障传播图模型与优化研究

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Modern equipment is large structure and complex function with redundant components within the system. As a result, the complexity is increased when fault diagnosis and analysis model is set up. In order to reduce diagnosis model complexity, a method of directed fault propagation model and optimization is proposed. Fault relationship among the components is analyzed based on the probability and influence of fault propagation, the multiple fault modes and fault propagation relationship is also studied. The directed fault propagation graph model is optimized according to the fault influence factor on the basis of quantitative assessment, and redundant component within fault diagnosis model is cut, so the model is simplified, the computational process is reduced and the efficiency for fault diagnosis and analysis is improved. A practical model shows the validation of the model and optimization method.
机译:现代设备结构庞大,功能复杂,系统内具有冗余组件。结果,当建立故障诊断和分析模型时,复杂度增加。为了降低诊断模型的复杂度,提出了一种定向故障传播模型和优化方法。基于故障传播的可能性和影响,分析了各部件之间的故障关系,研究了多种故障模式和故障传播关系。在定量评估的基础上,根据故障影响因素对定向故障传播图模型进行了优化,减少了故障诊断模型中的冗余分量,简化了模型,减少了计算过程,提高了故障诊断分析的效率。得到改善。实际模型表明了该模型的有效性和优化方法。

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