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Proceedings Paper

Tube leak detection and isolation in industrial boiler systems
Author(s): Ali T. Alouani
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Paper Abstract

This paper deals with tube leak detection in industrial boilers. A decentralized information processing approach is used to detect and isolate the location of boilers tube leaks. Tube leak sensitive variables (TLSV) are used as the information source for detection and isolation. Such variables are already collected by the system for the purpose of control and monitoring. Given the TLSV, artificial neural networks are used to detect the presence of a leak and its location in the boiler. The proposed approach was successfully applied to tube leak detection and isolation in five subsystems of a utility boiler.

Paper Details

Date Published: 22 March 1999
PDF: 10 pages
Proc. SPIE 3722, Applications and Science of Computational Intelligence II, (22 March 1999); doi: 10.1117/12.342867
Show Author Affiliations
Ali T. Alouani, Tennessee Technological Univ. (United States)


Published in SPIE Proceedings Vol. 3722:
Applications and Science of Computational Intelligence II
Kevin L. Priddy; Paul E. Keller; David B. Fogel; James C. Bezdek, Editor(s)

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