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Entropy function application in the selection process of diagnostic parameters of marine diesel and gas turbine engines

机译:熵函数在船用柴油和燃气轮机诊断参数选择过程中的应用

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摘要

The article presents the method of analysing the diagnostic informativeness of the parameters characterizing gas dynamic processes observed inside the working spaces of marine diesel and gas turbine engines. The entropy function was used as the measure of indeterminacy of the identified set of engine unserviceability states. Based on numerical simulation experiments of the analysed gasodynamic processes, the amount of introduced diagnostic information was assessed and the most adequate parameters for the technical state of the engine were selected. These parameters compose the minimised set of diagnostic parameters which make it possible to assess unmistakably the technical state of the examined working spaces.
机译:本文提出了一种分析诊断信息的方法,该方法可表征在船用柴油和燃气涡轮发动机的工作空间内观察到的气体动力学过程的特征参数。熵函数用作确定的发动机不可维修状态组不确定性的度量。基于所分析的气动过程的数值模拟实验,评估了引入的诊断信息的数量,并选择了适合发动机技术状态的最适当参数。这些参数组成了最小化的诊断参数集,这使得可以毫无疑问地评估所检查工作空间的技术状态。

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