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The Research Of Elevator Fault Diagnosis Method Based On Decision Tree Algorithm

机译:基于决策树算法的电梯故障诊断方法研究

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Due to the complex structure of the elevator system and the complicated and diverse cause of the elevator operation faults, It is often difficult for maintenance personnel to comprehensively grasp the fault signs to determine the cause of the fault. Directing against this peculiarity, this paper proposes the elevator fault diagnosis method based on decision tree classification algorithm. We use decision tree classification algorithm to classify the fault diagnosis, and then we can establish a fault diagnosis model, which accords with the theory of elevator operation. Finally we use different kinds of fault data samples to test the method. Experimental results demonstrate the higher accuracy of our model. This paper provides a good assistant method by means of Fault diagnosis of elevator system at present.
机译:由于电梯系统的复杂结构和电梯运行故障的复杂和多样性,维护人员往往难以全面掌握故障标志以确定故障的原因。本文提出了基于决策树分类算法的电梯故障诊断方法。我们使用决策树分类算法对故障诊断进行分类,然后我们可以建立一个故障诊断模型,符合电梯操作理论。最后,我们使用不同类型的故障数据样本来测试该方法。实验结果表明了我们模型的更高准确性。本文通过目前电梯系统的故障诊断提供了一种良好的辅助方法。

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