A Review of Industrial Fault Diagnosis Based on Data-driven Methods
Authors
Wenbo Liu, Zhiping Peng, Delong Cui
Corresponding Author
Wenbo Liu
Available Online May 2018.
- 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/).
Cite this article
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 -