Forecasting appliances failures: a machine-learning approach to predictive maintenance

Heating appliances consume approximately 48% of the energy spent on household appliances every year. Furthermore, a malfunctioning device can increase the cost even further. Thus, there is a need to create methods that can identify the equipment’s malfunctions and eventual failures before they occur...

Full description

Bibliographic Details
Main Author: Fernandes, Sofia (author)
Other Authors: Antunes, Mário (author), Santiago, Ana Rita (author), Barraca, João Paulo (author), Gomes, Diogo (author), Aguiar, Rui L. (author)
Format: article
Language:eng
Published: 2020
Subjects:
Big data applications
Big data services
Infrastructure
Data processing
Data analysis
Predictive maintenance
Machine learning
Online Access:http://hdl.handle.net/10773/28657
Country:Portugal
Oai:oai:ria.ua.pt:10773/28657

Internet

http://hdl.handle.net/10773/28657

Similar Items