Journal
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
Volume 49, Issue 4, Pages 675-679Publisher
ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
DOI: 10.1016/j.ijthermalsci.2009.10.011
Keywords
Fouling; Detection; Heat exchanger; Neural network; Numerical modelling
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Funding
- Rannis - The Icelandic Centre for Research - and the French Ministry of Foreign Affairs [EGIDE 18990VL]
- CNRS
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This paper presents a method for the detection of fouling in a cross-flow heat exchanger. A numerical model is used to generate data when the heat exchanger is clean and corresponding data when fouling occurs. In a first step, the model is used to generate a long time series by simulating a clean heat exchanger. This allows the determination of a neural network model of the heat exchanger. Then, hundred sets of data are generated by simulating a fouled heat exchanger and it is checked that the simple Cusum test can be used to detect fouling without any false alarm, whatever the reference time series is. (C) 2009 Elsevier Masson SAS. All rights reserved.
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