基于参数灵敏度分析的设备维修性改进方向确定研究

2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI:10.1109/ICISCAE51034.2020.9236899

Lei Guo

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引用次数: 0

摘要

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。建立预测模型，以归一化的系统可维护性定性指标参数和一般评价分别作为模型的输入和输出。通过对定性指标参数对总体影响的敏感性分析，确定当前设备维修性改进的方向。该方法可为可维护性改进目标的确定提供依据。

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

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.

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来源期刊

2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)

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