Mining temporal data: A coal-fired boiler case study

Citation data:

9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, September 14, 2005 - September 16, Vol: 3683, Page: 953-958

Publication Year:
2005
Usage 4
Abstract Views 4
Repository URL:
https://ir.uiowa.edu/mie_pubs/127
Author(s):
Kusiak, Andrew; Burns, Alex
Tags:
Sustainability; Industrial Engineering
conference paper description
This paper presents an approach to control pluggage of a coal-fired boiler. The proposed approach involves statistics, data partitioning, parameter reduction, and data mining. The proposed approach was tested on a 750 MW commercial coal-fired boiler affected with a fouling problem that leads to boiler pluggage that causes unscheduled shutdowns. The rare-event detection approach presented in the paper identified several critical time-based data segments that are indicative of the ash pluggage. Springer-Verlag Berlin Heidelberg 2005.