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Keywords: domain adaptation
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Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. March 2024, 146(3): 031009.
Paper No: GTP-23-1254
Published Online: November 6, 2023
... learning model. Consequently, this paper introduces an unsupervised global and local domain adaptation network (GLDAN) for fault diagnosis across wind turbines, enabling the model to efficiently transfer acquired knowledge to the target domain in the absence of labeled data. This feature renders...