Abstract
The early boiler tube leak detection is highly desirable in power plant for prevention of following utility destruction. In the paper the results of artificial neural network (ANN) models of flue gas humidity for steam leak detection are presented and discussed on example of fluid boiler data.
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References
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© 2007 Springer-Verlag Berlin Heidelberg
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Jankowska, A. (2007). Approach to Early Boiler Tube Leak Detection with Artificial Neural Networks. In: Jabłoński, R., Turkowski, M., Szewczyk, R. (eds) Recent Advances in Mechatronics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73956-2_12
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DOI: https://doi.org/10.1007/978-3-540-73956-2_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73955-5
Online ISBN: 978-3-540-73956-2
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