Laundry Fabric Classification in Vertical Axis Washing Machines Using Data-Driven Soft Sensors
Embedding household appliances with smart capabilities is becoming common practice among major fabric-care producers that seek competitiveness on the market by providing more efficient and easy-to-use products. In Vertical Axis Washing Machines (VA-WM), knowing the laundry composition is fundamental...
Main Authors: | Marco Maggipinto, Elena Pesavento, Fabio Altinier, Giuliano Zambonin, Alessandro Beghi, Gian Antonio Susto |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-10-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/12/21/4080 |
Similar Items
-
Machine Learning-Based Soft Sensors for the Estimation of Laundry Moisture Content in Household Dryer Appliances
by: Giuliano Zambonin, et al.
Published: (2019-10-01) -
An eDrive-Based Estimation Method of the Laundry Unbalance and Laundry Inertia for Washing Machine Applications
by: Daniele Martinello, et al.
Published: (2021-01-01) -
Bacterial exchange in household washing machines
by: Chris eCallewaert, et al.
Published: (2015-12-01) -
A Capacitive Displacement Sensing Technique for Early Detection of Unbalanced Loads in a Washing Machine
by: Karthik Tiruthani, et al.
Published: (2009-11-01) -
Laundry and textile hygiene in healthcare and beyond
by: Dirk P. Bockmühl, et al.
Published: (2019-07-01)