The Application of Data-driven Modelling and State Monitoring in Steam Pipe Networks in Iron& Steel Enterprises
Authors
Xianxi Luo, Wei Wang, Hongwei Deng, Zehao Wu
Corresponding Author
Xianxi Luo
Available Online May 2018.
- DOI
- 10.2991/icmse-18.2018.24How to use a DOI?
- Keywords
- Data Driven Modelling, Monitoring, PCA, Steam Pipe Networks.
- Abstract
The steam pipe network is a complex object to be modelled and monitored with traditional mathematical model. In this paper, the mathematical model of single steam pipe is analyzed and an innovated data-drive modelling method with piecewise performed principal analysis (PCA) is proposed. In this method, the variable space is separated into smaller sections and perform PCA respectively to generate the corresponding approximate linear PCA model. By monitoring the statistical variables T2and SPE, the abnormality and fault data can be easily discovered. The simulation result shows the effectiveness of the proposed method.
- 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 - Xianxi Luo AU - Wei Wang AU - Hongwei Deng AU - Zehao Wu PY - 2018/05 DA - 2018/05 TI - The Application of Data-driven Modelling and State Monitoring in Steam Pipe Networks in Iron& Steel Enterprises BT - Proceedings of the 2018 8th International Conference on Manufacturing Science and Engineering (ICMSE 2018) PB - Atlantis Press SP - 116 EP - 122 SN - 2352-5401 UR - https://doi.org/10.2991/icmse-18.2018.24 DO - 10.2991/icmse-18.2018.24 ID - Luo2018/05 ER -