DocumentCode
3423652
Title
On the identification of sensitive variables of boiler tube leaks
Author
Zhong, T. ; Alouani, A.T. ; Smoak, R.A.
Author_Institution
Center for Electr. Power, Tennessee Technol. Univ., Cookeville, TN, USA
fYear
1997
fDate
9-11 Mar 1997
Firstpage
196
Lastpage
200
Abstract
Early tube leak detection helps utility to schedule shut down for repairs. This will eliminate the need for forced outage which can be quite costly. Successful detection of early tube leaks depends heavily on the kind of information used for detection. This paper deals with the identification of such information, called here tube leak sensitive variables. Two sources of information are used for this operation; Kingston 9 simulator and tube leak plant data provided by TVA
Keywords
boilers; digital simulation; information use; leak detection; Kingston 9 simulator; TVA; boiler tube leaks; sensitive variables identification; tube leak detection; tube leak plant data; Acoustic noise; Acoustic sensors; Acoustic signal detection; Artificial neural networks; Boilers; Computational modeling; Instruments; Leak detection; Monitoring; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 1997., Proceedings of the Twenty-Ninth Southeastern Symposium on
Conference_Location
Cookeville, TN
ISSN
0094-2898
Print_ISBN
0-8186-7873-9
Type
conf
DOI
10.1109/SSST.1997.581606
Filename
581606
Link To Document