An Improved LightGBM Algorithm for Online Fault Detection of Wind Turbine Gearboxes

It is widely accepted that conventional boost algorithms are of low efficiency and accuracy in dealing with big data collected from wind turbine operations. To address this issue, this paper is devoted to the application of an adaptive LightGBM method for wind turbine fault detections. To this end,...

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Veröffentlicht in:	Energies (Basel) Jg. 13; H. 4; S. 807
Hauptverfasser:	Tang, Mingzhu, Zhao, Qi, Ding, Steven X., Wu, Huawei, Li, Linlin, Long, Wen, Huang, Bin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	MDPI AG 01.02.2020
Schlagworte:	bayesian hyper-parameter optimization fault diagnosis gradient boosting algorithm lightgbm maximum information coefficient
ISSN:	1996-1073, 1996-1073
Online-Zugang:	Volltext
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