Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387144497> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W4387144497 abstract "Abstract Operating under harsh conditions and exposed to fluctuating loads for extended periods, wind turbines experience a heightened vulnerability in their key components. Early fault detection is crucial to enhance the reliability of wind turbines, minimize downtime, and optimize power generation efficiency. Although deep learning techniques have been widely applied to fault diagnosis tasks, yielding remarkable performance, practical implementations frequently confront the obstacle of acquiring a substantial quantity of labeled data to train an effective deep 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 makes GLDAN an appropriate solution for situations with limited labeled data availability. Employing adversarial training, GLDAN aligns global domain distributions, diminishing the overall discrepancy between source and target domains, and local domain distributions within a single fault category for both domains, capturing more intricate and specific fault features. The proposed approach is corroborated using actual wind farm data, and comprehensive experimental results demonstrate that GLDAN surpasses deep global domain adaptation methods in cross-wind turbine fault diagnosis, underlining its practical value in the field." @default.
- W4387144497 created "2023-09-29" @default.
- W4387144497 creator A5008028075 @default.
- W4387144497 creator A5034947641 @default.
- W4387144497 creator A5064722162 @default.
- W4387144497 date "2023-06-26" @default.
- W4387144497 modified "2023-10-18" @default.
- W4387144497 title "GLDAN: Global and Local Domain Adaptation Network for Cross-Wind Turbine Fault Diagnosis" @default.
- W4387144497 doi "https://doi.org/10.1115/gt2023-102241" @default.
- W4387144497 hasPublicationYear "2023" @default.
- W4387144497 type Work @default.
- W4387144497 citedByCount "0" @default.
- W4387144497 crossrefType "proceedings-article" @default.
- W4387144497 hasAuthorship W4387144497A5008028075 @default.
- W4387144497 hasAuthorship W4387144497A5034947641 @default.
- W4387144497 hasAuthorship W4387144497A5064722162 @default.
- W4387144497 hasConcept C108583219 @default.
- W4387144497 hasConcept C111919701 @default.
- W4387144497 hasConcept C119599485 @default.
- W4387144497 hasConcept C119857082 @default.
- W4387144497 hasConcept C121332964 @default.
- W4387144497 hasConcept C127313418 @default.
- W4387144497 hasConcept C127413603 @default.
- W4387144497 hasConcept C154945302 @default.
- W4387144497 hasConcept C163258240 @default.
- W4387144497 hasConcept C165205528 @default.
- W4387144497 hasConcept C175551986 @default.
- W4387144497 hasConcept C180591934 @default.
- W4387144497 hasConcept C200601418 @default.
- W4387144497 hasConcept C2778449969 @default.
- W4387144497 hasConcept C41008148 @default.
- W4387144497 hasConcept C43214815 @default.
- W4387144497 hasConcept C62520636 @default.
- W4387144497 hasConcept C78519656 @default.
- W4387144497 hasConcept C78600449 @default.
- W4387144497 hasConceptScore W4387144497C108583219 @default.
- W4387144497 hasConceptScore W4387144497C111919701 @default.
- W4387144497 hasConceptScore W4387144497C119599485 @default.
- W4387144497 hasConceptScore W4387144497C119857082 @default.
- W4387144497 hasConceptScore W4387144497C121332964 @default.
- W4387144497 hasConceptScore W4387144497C127313418 @default.
- W4387144497 hasConceptScore W4387144497C127413603 @default.
- W4387144497 hasConceptScore W4387144497C154945302 @default.
- W4387144497 hasConceptScore W4387144497C163258240 @default.
- W4387144497 hasConceptScore W4387144497C165205528 @default.
- W4387144497 hasConceptScore W4387144497C175551986 @default.
- W4387144497 hasConceptScore W4387144497C180591934 @default.
- W4387144497 hasConceptScore W4387144497C200601418 @default.
- W4387144497 hasConceptScore W4387144497C2778449969 @default.
- W4387144497 hasConceptScore W4387144497C41008148 @default.
- W4387144497 hasConceptScore W4387144497C43214815 @default.
- W4387144497 hasConceptScore W4387144497C62520636 @default.
- W4387144497 hasConceptScore W4387144497C78519656 @default.
- W4387144497 hasConceptScore W4387144497C78600449 @default.
- W4387144497 hasLocation W43871444971 @default.
- W4387144497 hasOpenAccess W4387144497 @default.
- W4387144497 hasPrimaryLocation W43871444971 @default.
- W4387144497 hasRelatedWork W1568390478 @default.
- W4387144497 hasRelatedWork W1995197451 @default.
- W4387144497 hasRelatedWork W2005809146 @default.
- W4387144497 hasRelatedWork W2057658601 @default.
- W4387144497 hasRelatedWork W2062658440 @default.
- W4387144497 hasRelatedWork W2396014605 @default.
- W4387144497 hasRelatedWork W2613298738 @default.
- W4387144497 hasRelatedWork W2804944700 @default.
- W4387144497 hasRelatedWork W2908122050 @default.
- W4387144497 hasRelatedWork W3149885144 @default.
- W4387144497 isParatext "false" @default.
- W4387144497 isRetracted "false" @default.
- W4387144497 workType "article" @default.