Fault Diagnosis of Wind Turbine Generators Based on Stacking Integration Algorithm and Adaptive Threshold

Fault alarm time lag is one of the difficulties in fault diagnosis of wind turbine generators (WTGs), and the existing methods are insufficient to achieve accurate and rapid fault diagnosis of WTGs, and the operation and maintenance costs of WTGs are too high. To invent a new method for fast and acc...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 23; číslo 13; s. 6198
Hlavní autoři:	Tang, Zhanjun, Shi, Xiaobing, Zou, Huayu, Zhu, Yuting, Yang, Yushi, Zhang, Yajia, He, Jianfeng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 06.07.2023 MDPI
Témata:	Accuracy adaptive threshold Air-turbines Algorithms Alternative energy sources Bayes Theorem Decision trees EDP Electric Power Supplies Fault diagnosis Machine Learning Methods Portugal Power plants Renewable resources stacking integration algorithm Turbines Wind power WTG Portugal EDP fault diagnosis stacking integration algorithm WTG machine learning adaptive threshold
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
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