NDLI: Boiler Combustion Diagnosis Based on Rough Set Theor

Content Provider	IEEE Xplore Digital Library
Author	Gang Xie Xuebin Liu Kerning Xie
Copyright Year	2006
Description	Author affiliation: Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan Shanxi (Gang Xie; Xuebin Liu; Kerning Xie)
Abstract	With the boiler combustion inspection and diagnosis became much more important day after day, the image technology had been applied in this field. Several image characters had gotten from the fire image and apply rough set decision-making rules to form the decision-making table. In the table the image characters are condition attribute and the hearth combustion statuses are decision-making attribute. The weight coefficients of the condition attribute to the decision-making attribute are determined by the approximation set conception in the rough set theory. Thus, the judgment is objective and provides forceful proof for the boiler combustion diagnosis. At last, an experiment has been done with a group spot fire images gained from different combustion status, and compare the experiment results with the spot status. It shows that the method is feasible
Starting Page	2609
Ending Page	2612
File Size	206732
Page Count	4
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1712834
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Boilers Combustion Decision making Fires Charge coupled devices Educational institutions Inspection Set theory Intelligent control Automation decision-making rough set image characters
Content Type	Text
Resource Type	Article

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