Machine Learning-Based Soft Sensors for the Estimation of Laundry Moisture Content in Household Dryer Appliances

Machine Learning-Based Soft Sensors for the Estimation of Laundry Moisture Content in Household Dryer Appliances

The aim is to develop soft sensors (SSs) to provide an estimation of the laundry moisture of clothes introduced in a household Heat Pump Washer−Dryer (WD-HP) appliance. The developed SS represents a cost-effective alternative to physical sensors, and it aims at improving the WD-HP performa...

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Bibliographic Details
Main Authors: Giuliano Zambonin, Fabio Altinier, Alessandro Beghi, Leandro dos Santos Coelho, Nicola Fiorella, Terenzio Girotto, Mirco Rampazzo, Gilberto Reynoso-Meza, Gian Antonio Susto
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Energies
Subjects:
domestic appliances
fabric care
washer–dryer
machine learning
moisture transfer models
soft sensors
symbolic regression
Online Access:https://www.mdpi.com/1996-1073/12/20/3843

Internet

https://www.mdpi.com/1996-1073/12/20/3843

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