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A Multivariate Spatiotemporal Feature Fusion Network for Wind Turbine Gearbox Condition Monitoring

A Multivariate Spatiotemporal Feature Fusion Network for Wind Turbine Gearbox Condition Monitoring

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_861cca4eeecc4e62af6726d513d036c0

A Multivariate Spatiotemporal Feature Fusion Network for Wind Turbine Gearbox Condition Monitoring

About this item

Full title

A Multivariate Spatiotemporal Feature Fusion Network for Wind Turbine Gearbox Condition Monitoring

Publisher

Basel: MDPI AG

Journal title

Energies (Basel), 2025-03, Vol.18 (5), p.1273

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

SCADA data, due to their easy accessibility and low cost, have been widely applied in wind turbine gearbox condition monitoring. However, the high-dimensional and nonlinear nature of the collected data, along with the insufficient spatiotemporal feature capabilities of existing methods and the lack of consideration of the physical mechanisms of win...

Alternative Titles

Full title

A Multivariate Spatiotemporal Feature Fusion Network for Wind Turbine Gearbox Condition Monitoring

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_861cca4eeecc4e62af6726d513d036c0

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_861cca4eeecc4e62af6726d513d036c0

Other Identifiers

ISSN

1996-1073

E-ISSN

1996-1073

DOI

10.3390/en18051273

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