DocumentCode
1752775
Title
Boiler Combustion Diagnosis Based on Rough Set Theor
Author
Xie, Gang ; Liu, Xuebin ; Xie, Keming
Author_Institution
Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan Shanxi
Volume
1
fYear
0
fDate
0-0 0
Firstpage
2609
Lastpage
2612
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
Keywords
boilers; combustion equipment; decision making; image processing; rough set theory; approximation set; boiler combustion diagnosis; boiler combustion inspection; decision-making table; image characters; rough set decision-making rules; rough set theory; spot fire images; Automation; Boilers; Charge coupled devices; Combustion; Decision making; Educational institutions; Fires; Inspection; Intelligent control; Set theory; decision-making; image characters; rough set;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location
Dalian
Print_ISBN
1-4244-0332-4
Type
conf
DOI
10.1109/WCICA.2006.1712834
Filename
1712834
Link To Document