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Authors: Alexander Babichev 1 ; Vittorio Casagrande 2 ; Luca Della Schiava 1 ; Gianfranco Fenu 3 ; Imola Fodor 1 ; Enrico Marson 1 ; Felice Andrea Pellegrino 3 ; Gilberto Pin 1 ; Erica Salvato 3 ; Michele Toppano 1 and Davide Zorzenon 4

Affiliations: 1 Electrolux Italia S.p.A., Porcia, 33080, Italy ; 2 Department of Electrical and Electronic Engineering, University College London, U.K. ; 3 Department of Engineering and Architecture, University of Trieste, Italy ; 4 Technische Universität Berlin, Control Systems Group, Einsteinufer 17, D-10587 Berlin, Germany

Keyword(s): Long Short Term Memories, One-dimensional Convolutional Neural Networks, Virtual Sensing.

Abstract: Home appliances are nowadays present in every house. In order to ensure a suitable level of maintenance, manufacturers strive to design a method to estimate the wear of the single electrical parts composing an appliance without providing it with a large number of expensive sensors. With this in mind, our goal consists in inferring the status of the electrical actuators of a washing machine, given the measures of electrical signals at the plug, which carry an aggregate information. The approach is end-to-end, i.e. it does not require any feature extraction and thus it can be easily generalized to other appliances. Two different techniques have been investigated: Convolutional Neural Networks and Long Short-Term Memories. These tools are trained and tested on data collected on four different washing machines.

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Paper citation in several formats:
Babichev, A.; Casagrande, V.; Della Schiava, L.; Fenu, G.; Fodor, I.; Marson, E.; Pellegrino, F.; Pin, G.; Salvato, E.; Toppano, M. and Zorzenon, D. (2020). Loads Estimation using Deep Learning Techniques in Consumer Washing Machines. In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-397-1; ISSN 2184-4313, SciTePress, pages 425-432. DOI: 10.5220/0008935104250432

@conference{icpram20,
author={Alexander Babichev. and Vittorio Casagrande. and Luca {Della Schiava}. and Gianfranco Fenu. and Imola Fodor. and Enrico Marson. and Felice Andrea Pellegrino. and Gilberto Pin. and Erica Salvato. and Michele Toppano. and Davide Zorzenon.},
title={Loads Estimation using Deep Learning Techniques in Consumer Washing Machines},
booktitle={Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2020},
pages={425-432},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008935104250432},
isbn={978-989-758-397-1},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Loads Estimation using Deep Learning Techniques in Consumer Washing Machines
SN - 978-989-758-397-1
IS - 2184-4313
AU - Babichev, A.
AU - Casagrande, V.
AU - Della Schiava, L.
AU - Fenu, G.
AU - Fodor, I.
AU - Marson, E.
AU - Pellegrino, F.
AU - Pin, G.
AU - Salvato, E.
AU - Toppano, M.
AU - Zorzenon, D.
PY - 2020
SP - 425
EP - 432
DO - 10.5220/0008935104250432
PB - SciTePress

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