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Open AccessArticle

Forecasting Appliances Failures: A Machine-Learning Approach to Predictive Maintenance

1
DETI, Universidade de Aveiro, 3810-193 Aveiro, Portugal
2
Instituto de Telecomunicações, Universidade de Aveiro, 3810-193 Aveiro, Portugal
*
Authors to whom correspondence should be addressed.
Information 2020, 11(4), 208; https://doi.org/10.3390/info11040208
Received: 17 March 2020 / Revised: 1 April 2020 / Accepted: 8 April 2020 / Published: 14 April 2020
(This article belongs to the Special Issue Machine Learning for Big Data--Big Data Service 2019)
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. This is only possible with a combination of data acquisition, analysis and prediction/forecast. This paper presents an infrastructure that supports the previously mentioned capabilities and was deployed for failure detection in boilers, making possible to forecast faults and errors. We also present our initial predictive maintenance models based on the collected data. View Full-Text
Keywords: big data applications; big data services; infrastructure; data processing; data analysis; predictive maintenance; machine learning big data applications; big data services; infrastructure; data processing; data analysis; predictive maintenance; machine learning
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MDPI and ACS Style

Fernandes, S.; Antunes, M.; Santiago, A.R.; Barraca, J.P.; Gomes, D.; Aguiar, R.L. Forecasting Appliances Failures: A Machine-Learning Approach to Predictive Maintenance. Information 2020, 11, 208.

AMA Style

Fernandes S, Antunes M, Santiago AR, Barraca JP, Gomes D, Aguiar RL. Forecasting Appliances Failures: A Machine-Learning Approach to Predictive Maintenance. Information. 2020; 11(4):208.

Chicago/Turabian Style

Fernandes, Sofia; Antunes, Mário; Santiago, Ana R.; Barraca, João P.; Gomes, Diogo; Aguiar, Rui L. 2020. "Forecasting Appliances Failures: A Machine-Learning Approach to Predictive Maintenance" Information 11, no. 4: 208.

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