2023
DOI: 10.1109/access.2023.3240306
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Condition Monitoring of Wind Turbine Generators Based on SCADA Data and Feature Transfer Learning

Abstract: In order to build an effective condition monitoring (CM) model for the target wind turbines (WTs) with few operational data, an approach based on the feature transfer learning and a modified generative adversarial network is proposed. First, a large amount of labelled data from WTs are analyzed to construct a CM model with the aid of an autoencoder. This forms the knowledge of CM for WTs in the source domain. Second, a generative adversarial network is trained to build a mapping relationship between the featur… Show more

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Cited by 3 publications
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