Title :
A neuro-fuzzy tube leak detection system
Author :
Sadok, M.M. ; Alouani, A.T.
Author_Institution :
Center for Electr. Power, Tennessee Technol. Univ., Cookeville, TN, USA
Abstract :
Proposes a boiler tube leak detection system (TLDS) that uses monitored boiler process variables. The system uses artificial neural networks for learning and fuzzy logic for decision making. Contrary to existing TLDS the proposed design does not require any new instrumentation hardware or maintenance. The system design is discussed. In addition, the performance of the system is analyzed using field data
Keywords :
boilers; fuzzy logic; inference mechanisms; knowledge acquisition; leak detection; learning (artificial intelligence); monitoring; neural nets; artificial neural networks; boiler; decision making; fuzzy logic; learning; neuro-fuzzy tube leak detection system; Artificial neural networks; Boilers; Data analysis; Decision making; Fuzzy logic; Hardware; Instruments; Leak detection; Monitoring; Performance analysis;
Conference_Titel :
System Theory, 1998. Proceedings of the Thirtieth Southeastern Symposium on
Conference_Location :
Morgantown, WV
Print_ISBN :
0-7803-4547-9
DOI :
10.1109/SSST.1998.660041
