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Model Establishment of Decision Tree Algorithm and Its Application in Vehicle Fault Prediction Analysis

机译:决策树算法的模型建立及其在车辆故障预测分析中的应用

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摘要

In this paper, the basic principle and optimization strategy of decision tree algorithm are described. The model is embedded into x software as an independent sub-module. On the premise of the analysis results of the previous failure law, the fault mode, grade and treatment mode of the vehicle are predicted through the setting of specific vehicle driving parameters. The results of the model test show that it can predict and analyze the immediate failure of the vehicle very well, and improve the precision and efficiency of vehicle support.
机译:本文介绍了决策树算法的基本原理和优化策略。该模型作为独立的子模块嵌入到x软件中。在先前故障定律的分析结果的前提下,通过设置特定的车辆行驶参数来预测车辆的故障模式,等级和处理模式。模型试验的结果表明,该模型可以很好地预测和分析车辆的即时故障,并提高了车辆支撑的精度和效率。

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