On-Line Remaining Useful Life Estimation of Power Connectors Focused on Predictive Maintenance
Connections are critical elements in power systems, exhibiting higher failure probability. Power connectors are considered secondary simple devices in power systems despite their key role, since a failure in one such element can lead to major issues. Thus, it is of vital interest to develop predicti...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/11/3739 |
| _version_ | 1827691301783470080 |
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| author | Jordi-Roger Riba Álvaro Gómez-Pau Jimmy Martínez Manuel Moreno-Eguilaz |
| author_facet | Jordi-Roger Riba Álvaro Gómez-Pau Jimmy Martínez Manuel Moreno-Eguilaz |
| author_sort | Jordi-Roger Riba |
| collection | DOAJ |
| description | Connections are critical elements in power systems, exhibiting higher failure probability. Power connectors are considered secondary simple devices in power systems despite their key role, since a failure in one such element can lead to major issues. Thus, it is of vital interest to develop predictive maintenance approaches to minimize these issues. This paper proposes an on-line method to determine the remaining useful life (RUL) of power connectors. It is based on a simple and accurate model of the degradation with time of the electrical resistance of the connector, which only has two parameters, whose values are identified from on-line acquired data (voltage drop across the connector, electric current and temperature). The accuracy of the model presented in this paper is compared with the widely applied autoregressive integrated moving average model (ARIMA), showing enhanced performance. Next, a criterion to determine the RUL is proposed, which is based on the inflection point of the expression describing the electrical resistance degradation. This strategy allows determination of when the connector must be replaced, thus easing predictive maintenance tasks. Experimental results from seven connectors show the potential and viability of the suggested method, which can be applied to many other devices. |
| first_indexed | 2024-03-10T10:58:52Z |
| format | Article |
| id | doaj.art-bdb4c3f0e66f463f877e13648cb627a3 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T10:58:52Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-bdb4c3f0e66f463f877e13648cb627a32023-11-21T21:42:06ZengMDPI AGSensors1424-82202021-05-012111373910.3390/s21113739On-Line Remaining Useful Life Estimation of Power Connectors Focused on Predictive MaintenanceJordi-Roger Riba0Álvaro Gómez-Pau1Jimmy Martínez2Manuel Moreno-Eguilaz3Electrical Engineering Department, Universitat Politècnica de Catalunya, 08222 Terrassa, SpainElectronics Engineering Department, Universitat Politècnica de Catalunya, 08222 Terrassa, SpainElectrical Engineering Department, Universitat Politècnica de Catalunya, 08222 Terrassa, SpainElectronics Engineering Department, Universitat Politècnica de Catalunya, 08222 Terrassa, SpainConnections are critical elements in power systems, exhibiting higher failure probability. Power connectors are considered secondary simple devices in power systems despite their key role, since a failure in one such element can lead to major issues. Thus, it is of vital interest to develop predictive maintenance approaches to minimize these issues. This paper proposes an on-line method to determine the remaining useful life (RUL) of power connectors. It is based on a simple and accurate model of the degradation with time of the electrical resistance of the connector, which only has two parameters, whose values are identified from on-line acquired data (voltage drop across the connector, electric current and temperature). The accuracy of the model presented in this paper is compared with the widely applied autoregressive integrated moving average model (ARIMA), showing enhanced performance. Next, a criterion to determine the RUL is proposed, which is based on the inflection point of the expression describing the electrical resistance degradation. This strategy allows determination of when the connector must be replaced, thus easing predictive maintenance tasks. Experimental results from seven connectors show the potential and viability of the suggested method, which can be applied to many other devices.https://www.mdpi.com/1424-8220/21/11/3739electrical connectorcontact resistanceremaining useful lifereliabilitydata acquisitionmaintenance |
| spellingShingle | Jordi-Roger Riba Álvaro Gómez-Pau Jimmy Martínez Manuel Moreno-Eguilaz On-Line Remaining Useful Life Estimation of Power Connectors Focused on Predictive Maintenance Sensors electrical connector contact resistance remaining useful life reliability data acquisition maintenance |
| title | On-Line Remaining Useful Life Estimation of Power Connectors Focused on Predictive Maintenance |
| title_full | On-Line Remaining Useful Life Estimation of Power Connectors Focused on Predictive Maintenance |
| title_fullStr | On-Line Remaining Useful Life Estimation of Power Connectors Focused on Predictive Maintenance |
| title_full_unstemmed | On-Line Remaining Useful Life Estimation of Power Connectors Focused on Predictive Maintenance |
| title_short | On-Line Remaining Useful Life Estimation of Power Connectors Focused on Predictive Maintenance |
| title_sort | on line remaining useful life estimation of power connectors focused on predictive maintenance |
| topic | electrical connector contact resistance remaining useful life reliability data acquisition maintenance |
| url | https://www.mdpi.com/1424-8220/21/11/3739 |
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