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

摘要：

　　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.

关键词： Elevator system fault classification decision tree Fault Diagnosis

作者: Chang Liu Xinzheng Zhang Xindong Liu Can Chen

作者单位: School of Electrical and Information Engineering,Jinan University,Zhuhai 519070,China Guangdong Power Grid Company,Zhuhai Power Supply Bureau,Zhuhai Guangdong,China

会议类型: 国际会议

会议名称: 2017年第2届联合国际信息技术、机械与电子工程国际会议(JIMEC2017)

会议地点: 重庆

会议语种:英文

页码: 488-491

在线出版日期: 2017-10-04（万方平台首次上网日期，不代表论文的发表时间）