A Context-Aware Oil Debris-Based Health Indicator for Wind Turbine Gearbox Condition Monitoring
One of the greatest challenges of optimising the correct operation of wind turbines is detecting the health status of their core components, such as gearboxes in particular. Gearbox monitoring is a widely studied topic in the literature, nevertheless, studies showing data of in-service wind turbines...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-09-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/17/3373 |
| _version_ | 1811279231446941696 |
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| author | Kerman López de Calle Susana Ferreiro Constantino Roldán-Paraponiaris Alain Ulazia |
| author_facet | Kerman López de Calle Susana Ferreiro Constantino Roldán-Paraponiaris Alain Ulazia |
| author_sort | Kerman López de Calle |
| collection | DOAJ |
| description | One of the greatest challenges of optimising the correct operation of wind turbines is detecting the health status of their core components, such as gearboxes in particular. Gearbox monitoring is a widely studied topic in the literature, nevertheless, studies showing data of in-service wind turbines are less frequent and tend to present difficulties that are otherwise overlooked in test rig based works. This work presents the data of three wind turbines that have gearboxes in different damage stages. Besides including the data of the SCADA (Supervisory Control And Signal Acquisition) system, additional measurements of online optical oil debris sensors are also included. In addition to an analysis of the behaviour of particle generation in the turbines, a methodology to identify regimes of operation with lower variation is presented. These regimes are later utilised to develop a health index that considers operation states and provides valuable information regarding the state of the gearboxes. The proposed health index allows distinguishing damage severity between wind turbines as well as tracking the evolution of the damage over time. |
| first_indexed | 2024-04-13T00:51:03Z |
| format | Article |
| id | doaj.art-5f389a3eff0f485083ad03ac26e67bd2 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T00:51:03Z |
| publishDate | 2019-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-5f389a3eff0f485083ad03ac26e67bd22022-12-22T03:09:52ZengMDPI AGEnergies1996-10732019-09-011217337310.3390/en12173373en12173373A Context-Aware Oil Debris-Based Health Indicator for Wind Turbine Gearbox Condition MonitoringKerman López de Calle0Susana Ferreiro1Constantino Roldán-Paraponiaris2Alain Ulazia3Intelligent Information Systems unit, IK4-TEKNIKER, Iñaki Goenaga street 5, 20600 Eibar, SpainIntelligent Information Systems unit, IK4-TEKNIKER, Iñaki Goenaga street 5, 20600 Eibar, SpainIntelligent Information Systems unit, IK4-TEKNIKER, Iñaki Goenaga street 5, 20600 Eibar, SpainDepartment of NE and Fluid Mechanics, University of the Basque Country (UPV/EHU), Otaola 29, 20600 Eibar, SpainOne of the greatest challenges of optimising the correct operation of wind turbines is detecting the health status of their core components, such as gearboxes in particular. Gearbox monitoring is a widely studied topic in the literature, nevertheless, studies showing data of in-service wind turbines are less frequent and tend to present difficulties that are otherwise overlooked in test rig based works. This work presents the data of three wind turbines that have gearboxes in different damage stages. Besides including the data of the SCADA (Supervisory Control And Signal Acquisition) system, additional measurements of online optical oil debris sensors are also included. In addition to an analysis of the behaviour of particle generation in the turbines, a methodology to identify regimes of operation with lower variation is presented. These regimes are later utilised to develop a health index that considers operation states and provides valuable information regarding the state of the gearboxes. The proposed health index allows distinguishing damage severity between wind turbines as well as tracking the evolution of the damage over time.https://www.mdpi.com/1996-1073/12/17/3373condition monitoringcondition based maintenancewind turbineoil debris monitoringgearbox |
| spellingShingle | Kerman López de Calle Susana Ferreiro Constantino Roldán-Paraponiaris Alain Ulazia A Context-Aware Oil Debris-Based Health Indicator for Wind Turbine Gearbox Condition Monitoring Energies condition monitoring condition based maintenance wind turbine oil debris monitoring gearbox |
| title | A Context-Aware Oil Debris-Based Health Indicator for Wind Turbine Gearbox Condition Monitoring |
| title_full | A Context-Aware Oil Debris-Based Health Indicator for Wind Turbine Gearbox Condition Monitoring |
| title_fullStr | A Context-Aware Oil Debris-Based Health Indicator for Wind Turbine Gearbox Condition Monitoring |
| title_full_unstemmed | A Context-Aware Oil Debris-Based Health Indicator for Wind Turbine Gearbox Condition Monitoring |
| title_short | A Context-Aware Oil Debris-Based Health Indicator for Wind Turbine Gearbox Condition Monitoring |
| title_sort | context aware oil debris based health indicator for wind turbine gearbox condition monitoring |
| topic | condition monitoring condition based maintenance wind turbine oil debris monitoring gearbox |
| url | https://www.mdpi.com/1996-1073/12/17/3373 |
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