Application of Association Rules Data Mining in the Determination the Operation Target Values in the Thermal Power Plant

DOI

10.2991/csss-14.2014.145How to use a DOI?

Keywords

association rules, data mining, the operation target values

Abstract

As the parameters from the thermal power plant DCS (Distributed Control System) data have closely relationships, the association rules data mining is tried to be applied in the determination the optimization values in the thermal power plant. A model is built by the mining tools Clementine 12.0 based on the GRI (generalized rule induction) algorithm. The analysis on the model shows that the values of controllable operating parameters can be determined in order to improve the thermal efficiency by data mining. Thus such method is helpful for the actual operation in the plant.

Copyright

© 2014, 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  - Xiang Wan
AU  - Niansu Hu
AU  - Min Huo
PY  - 2014/06
DA  - 2014/06
TI  - Application of Association Rules Data Mining in the Determination the Operation Target Values in the Thermal Power Plant
BT  - Proceedings of the 3rd International Conference on Computer Science and Service System
PB  - Atlantis Press
SP  - 622
EP  - 625
SN  - 1951-6851
UR  - https://doi.org/10.2991/csss-14.2014.145
DO  - 10.2991/csss-14.2014.145
ID  - Wan2014/06
ER  -