Wind Turbine Pitch System Fault Detection Using ssODM-DSTA

Wind Turbine Pitch System Fault Detection Using ssODM-DSTA

A fault detection method of wind turbine pitch system using semi-supervised optimal margin distribution machine (ssODM) optimized by dynamic state transition algorithm (DSTA) [ssODM-DSTA] was proposed to solve the problem of obtaining the optimal hyperparameters of the fault detection model for the...

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Bibliographic Details
Main Authors: Mingzhu Tang, Jiahao Hu, Huawei Wu, Zimin Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Energy Research
Subjects:
fault detection
wind turbine
pitch system
dynamic state transition algorithm
semi-supervised optimal margin distribution machine
random forest
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2021.750983/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2021.750983/full

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