Title :
ANN based tube leak detection system
Author :
Zhong, T. ; Alouani, A.T. ; Smoak, R.A.
Author_Institution :
Center for Electr. Power, Tennessee Technol. Univ., Cookeville, TN, USA
Abstract :
This paper discusses preliminary work conducted by the authors dealing with the use of artificial neural networks (ANN) to detect boiler tube leaks. The design aspects of the ANN and preliminary testing using real data are presented
Keywords :
boilers; leak detection; neural nets; ANN based tube leak detection system; artificial neural networks; boiler tube leaks; Acoustic signal detection; Artificial neural networks; Boilers; Costs; Information resources; Leak detection; Monitoring; Polynomials; Scheduling; 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.1997.581609
