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The Determination Research for the Direction of Equipment Maintainability Improvement Based on Parameter Sensitivity Analysis

机译:基于参数敏感性分析的设备维修性改进方向确定研究

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The article embarks from the maintainability qualitative index parameters, based on the theory of Support Vector Machine Regression(SVR). The prediction model is established, with the normalized system maintainability qualitative index parameters and general evaluation respectively as the input and output of the model. It uses the Sensitivity Analysis of the impact of qualitative index parameters on the overall value, to determine the direction of the current equipment maintainability improvement. This method can provide the basis for the determination of maintainability improvement target.
机译:本文基于支持向量机回归(SVR)理论,从可维护性定性指标参数入手。建立了预测模型,将标准化系统的可维护性定性指标参数和一般评估分别作为模型的输入和输出。它使用定性指标参数对总体值的影响的敏感性分析,确定当前设备可维护性改进的方向。该方法可为确定可维修性提高目标提供依据。

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