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由于大量高新技术在现代汽车中的综合运用,仅利用设备维修复杂系数作为制定设备维修工时定额的方法已不能体现现代汽车修理工作量差异,而现代汽车维修工时定额更应考虑该故障诊断复杂性差异对维修工时的影响,所以对汽车故障诊断复杂性进行评价很有必要.应用信息熵的方法探讨了汽车故障诊断复杂性的评价方法,首先介绍了信息熵评价复杂性的相关理论,给出了汽车故障诊断整体复杂性评价指标以及复杂性熵尺度评价模型,最后以发动机过热为实例,分析了故障判断层次结构,利用信息熵方法计算出故障诊断的复杂性值.实证结果表明评价方法和模型具有一定的实用性和可行性,可实现对现有的汽车维修工时定额的修正.
Due to the comprehensive application of a large number of high-tech in modern automobile, the method of using the complex coefficient of equipment maintenance as a basis for setting up equipment maintenance man-hour can not reflect the difference of modern automobile repair workload, and the complexity of modern vehicle maintenance should be taken into account Therefore, it is necessary to evaluate the complexity of vehicle fault diagnosis.Using the method of information entropy to discuss the evaluation method of vehicle fault diagnosis complexity, the theory of complexity of information entropy evaluation is introduced firstly, Finally, taking the overheating of the engine as an example, the hierarchical structure of fault diagnosis is analyzed and the complexity value of fault diagnosis is calculated by using information entropy method.The empirical results show that the evaluation method and The model has a certain practicality and feasibility, can be achieved on the existing vehicle maintenance time quota correction.