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Fault Diagnosis of Gearbox of Wind Turbine Based on Improved Decision Tree Algorithm

机译:基于改进决策树算法的风力涡轮机齿轮箱故障诊断

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The most significant feature of the decision tree algorithm is to transform the complex decision-making process into a number of simple decision-making processes and then accumulate it. It's a tree structure similar to the flow chart. The decision tree can be applied to the fault diagnosis of wind turbine gearbox to data mining for gearbox and then find rules and reflect in the form of rules. Experiments show that the use of decision tree method to extract rules can be faster and more accurate.
机译:决策树算法的最重要特征是将复杂的决策过程转换为许多简单的决策过程,然后累积它。 这是一个类似于流程图的树结构。 决策树可以应用于风力涡轮机齿轮箱的故障诊断到变速箱的数据挖掘,然后找到规则并以规则的形式反思。 实验表明,使用决策树方法来提取规则可以更快,更准确。

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