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

DOI

10.2991/jimec-17.2017.106How to use a DOI?

Keywords

Elevator system; fault classification; decision tree; Fault Diagnosis

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Chang Liu
AU  - Xinzheng Zhang
AU  - Xindong Liu
AU  - Can Chen
PY  - 2017/10
DA  - 2017/10
TI  - The Research Of Elevator Fault Diagnosis Method Based On Decision Tree Algorithm
BT  - Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)
PB  - Atlantis Press
SP  - 488
EP  - 491
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimec-17.2017.106
DO  - 10.2991/jimec-17.2017.106
ID  - Liu2017/10
ER  -