Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/6756
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dc.contributor.authorShaheen, Basheeren_US
dc.contributor.authorAbu Hanieh, Ahmeden_US
dc.contributor.authorNémeth, Istvánen_US
dc.date.accessioned2021-06-21T05:41:00Z-
dc.date.available2021-06-21T05:41:00Z-
dc.date.issued2021-05-
dc.identifier.citationBasheer Shaheen, Ahmed Abu Hanieh and István Németh, Fault detection of wind turbine's gearbox based on power curve modeling and an on-line statistical change detection algorithm, Acta Polytechnica Hugarica (Journal of Applied Sciences Hungary), Volume 18, Number 6, pp 175-196, May, 2021en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11889/6756-
dc.description.abstractAn early model-based fault detection was developed, based on the wind turbine's power curve to detect the degradation (faults) in gearbox efficiency, resulted from the existing mechanical losses (torque losses) through the low-speed shaft and the high-speed shaft, then to assist in implementing predictive maintenance strategy. The detection was performed on two levels; the first level represents a slight and progressive degradation in the gearbox efficiency. The other one represents a radical (abrupt) degradation in the efficiency. Artificial SCADA data for different measurements (wind speed and active power) in both fault-free and faulty operating modes were generated using a FAST-NREL simulator. The wind turbine power curves' parameters were estimated, then power residuals were generated from each power point. Finally, an on-line CUSUM statistical change detection algorithm was used to evaluate and detect small changes in power residuals generated from the model. The presented fault detection system successfully detected faults in both detection levels under realistic wind turbulence and with a fault magnitude of 2% efficiency degradation for the progressive degradation level.en_US
dc.language.isoenen_US
dc.publisherActa Polytechnica Hugarica (Journal of Applied Sciences Hungary)en_US
dc.relation.ispartofActa Polytechnica Hugarica (Journal of Applied Sciences Hungary)en_US
dc.subjectfault detection;en_US
dc.subjectSCADAen_US
dc.subjectWind turbines - Monitoringen_US
dc.subjectMachinery - Monitoring - Mathematical modelsen_US
dc.subjectChange-point problems - Detectionen_US
dc.subjectSimulationen_US
dc.subjectOptimizationen_US
dc.subjectFault-tolerant computingen_US
dc.titleFault Detection of a Wind Turbine's Gearbox, based on Power Curve Modeling and an on-line Statistical Change Detection Algorithmen_US
dc.typeArticleen_US
dcterms.creatorAhmed Abu Haniehen_US
newfileds.departmentEngineering and Technologyen_US
newfileds.item-access-typeopen_accessen_US
newfileds.thesis-prognoneen_US
newfileds.general-subjectEngineering and Technology | الهندسة والتكنولوجياen_US
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item.languageiso639-1other-
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