The research of elevator health diagnosis method based on Bayesian network

2nd International Conference on Materials Science, Energy Technology and Environmental Engineering

材料科学;能源学;生态环境科学

Liu, Chang^1 ; Zhang, Xinzheng^1 ; Liu, Xindong^1 ; Chen, Can^2

School of Electrical and Information Engineering, Jinan University, Zhuhai

519070, China^1

Guangdong Power Grid Company, Zhuhai Power Supply Bureau, Zhuhai, Guangdong, China^2

关键词: Bayesian network models;    Complex mechanical system;    Elevator operation;    Elevator systems;    Fault diagnosis model;    Fault prediction;    Monte Carlo inference;    Parameter learning;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/81/1/012204/pdf
DOI  :  10.1088/1755-1315/81/1/012204

来源: IOP

【 摘 要 】

Elevator, as a complex mechanical system, is hard to determine the factors that affect components' status. In accordance with this special characteristic, the Elevator Fault Diagnosis Model is proposed based on Bayesian Network in this paper. The method uses different samples of the elevator and adopts Monte Carlo inference mechanism for Bayesian Network Model structure and parameter learning. Eventually, an elevator fault diagnosis model based on Bayesian network is established, which accords with the theory of elevator operation. In this paper, we use different kinds of fault data samples to test the method. Experimental results demonstrate the higher accuracy of our method. This paper provides a good assistant method by means of Fault prediction and Health diagnosis of elevator system at present.