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Research on Fault Tree Modular Diagnosis Method for Agricultural Machinery Hydraulic System

机译:农机液压系统故障树模块化诊断方法的研究

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A fault tree modular diagnosis method based on relative importance degree is proposed in this paper due to the complexity of the fault of hydraulic system. The relative importance of the module and the minimum cut set is calculated on the basis of the decomposed fault tree module. It realizes the fast fault location. The analysis of fault examples shows that the location of fault diagnosis will be more accurate with the richness of the fault tree knowledge base. And the location efficiency will be improved. The research of this paper can provide the basis for further research on fault diagnosis expert system of agricultural machinery hydraulic system, and also has important significance to improve the intelligent level of agricultural machinery equipment.
机译:针对液压系统故障的复杂性,提出一种基于相对重要度的故障树模块化诊断方法。该模块和最小割集的相对重要性是基于分解后的故障树模块来计算的。实现故障的快速定位。对故障实例的分析表明,借助故障树知识库的丰富性,故障诊断的位置将更加准确。并且将提高定位效率。本文的研究可以为进一步研究农机液压系统故障诊断专家系统提供依据,对提高农机设备的智能化水平也具有重要意义。

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