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
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;
Conference_Titel :
System Theory, 1997., Proceedings of the Twenty-Ninth Southeastern Symposium on
Conference_Location :
Cookeville, TN
Print_ISBN :
0-8186-7873-9
DOI :
10.1109/SSST.1997.581606
