Maths Halstensen
Department of Electrical Engineering, IT and Cybernetics, Universityof South-Eastern Norway, Norway
Joachim Lundberg
Department of Process, Energy and Environmental Technology,University of South-Eastern Norway, Norway
Per Ivan Januschas
MSG Production AS, Norway
Hans-Petter Halvorsen
Department of Electrical Engineering, IT and Cybernetics, Universityof South-Eastern Norway, Norway
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https://doi.org/10.3384/ecp2017026Published in: Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden
Linköping Electronic Conference Proceedings 170:4, p. 26-31
Published: 2020-01-24
ISBN: 978-91-7929-897-5
ISSN: 1650-3686 (print), 1650-3740 (online)
MSG Production is a company specializing in automated washing, de-icing, anti-icing and inspection of commercial passenger aircrafts. It is critically important that the viscosity of the anti-icing fluid is according to specifications. This study investigates if a combination of acoustic/vibrational measurements on the spraying nozzle of the system and multivariate regression modelling provides reliable viscosity estimates can be used for real time monitoring. The estimated viscosity based on independent test data show promising results for real time monitoring with a root mean square error of prediction of 278 [cP] within the valid range of the model which is 1900-8400 [cP].
partial least squares, multivariate regression, viscosity, anti-icing fluid, acoustic monitoring
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