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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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 23; no. 13; p. 6198
Main Authors:	Tang, Zhanjun, Shi, Xiaobing, Zou, Huayu, Zhu, Yuting, Yang, Yushi, Zhang, Yajia, He, Jianfeng
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 06.07.2023 MDPI
Subjects:	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
Online Access:	Get full text
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