A Review of Industrial Fault Diagnosis Based on Data-driven Methods

DOI

10.2991/ncce-18.2018.148How to use a DOI?

Keywords

Data-driven; Fault diagnosis; Industrial process.

Abstract

The Modern industrial devices are becoming more and more complicated and the data generated by industrial processes are increasing. It has become increasingly difficult to establish accurate mathematical models for fault diagnosis. In view of this situation, data-driven fault diagnosis methods have attracted attention and rapid development. This article reviews various methods based on data-driven fault diagnosis for industrial processes, and finally makes a forecast.

Copyright

© 2018, 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  - Wenbo Liu
AU  - Zhiping Peng
AU  - Delong Cui
PY  - 2018/05
DA  - 2018/05
TI  - A Review of Industrial Fault Diagnosis Based on Data-driven Methods
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 889
EP  - 893
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.148
DO  - 10.2991/ncce-18.2018.148
ID  - Liu2018/05
ER  -