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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. A., 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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