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Time series RUL estimation of medium voltage connectors to ease predictive maintenance plans

Author
Álvaro Gómez-Pau; Riba, J.; Moreno-Eguilaz, J.M.
Type of activity
Journal article
Journal
Applied sciences
Date of publication
2020-12-17
Volume
10
Number
24
First page
1
Last page
14
DOI
10.3390/app10249041
Project funding
Accionaments Elèctrics i Aplicacions Industrials
Desarrollo de la futura generación de conectores de subestación incorporando electrónica, sensores y comunicaciones inalámbricas para su aplicación en el mantenimiento predictivo.
Repository
http://hdl.handle.net/2117/334822 Open in new window
URL
https://www.mdpi.com/2076-3417/10/24/9041# Open in new window
Abstract
The ageing process of medium voltage power connectors can lead to important power system faults. An on-line prediction of the remaining useful life (RUL) is a convenient strategy to prevent such failures, thus easing the application of predictive maintenance plans. The electrical resistance of the connector is the most widely used health indicator for condition monitoring and RUL prediction, even though its measurement is a challenging task because of its low value, which typically falls in the ...
Citation
Gómez-Pau, Á.; Riba, J.; Moreno-Eguilaz, J.M. Time series RUL estimation of medium voltage connectors to ease predictive maintenance plans. "Applied sciences", 17 Desembre 2020, vol. 10, núm. 24, p. 1-14.
Keywords
ARIMA model, Ageing, Degradation trajectory, Power connectors, Predictive maintenance, Remaining useful life, Time series
Group of research
MCIA - Motion Control and Industrial Applications Research Group
PERC-UPC - Power Electronics Research Centre
QINE - Low Power Design, Test, Verification and Security ICs

Participants

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