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Detection of crack bar deterioration at offshore wind turbine supports using generative adversarial...

Detection of crack bar deterioration at offshore wind turbine supports using generative adversarial...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3081570980

Detection of crack bar deterioration at offshore wind turbine supports using generative adversarial networks and autoencoders

About this item

Full title

Detection of crack bar deterioration at offshore wind turbine supports using generative adversarial networks and autoencoders

Publisher

Bristol: IOP Publishing

Journal title

Journal of physics. Conference series, 2024-06, Vol.2647 (18), p.182010

Language

English

Formats

Publication information

Publisher

Bristol: IOP Publishing

More information

Scope and Contents

Contents

This work focuses on the structural health monitoring of jacket-type foundations used by offshore wind turbines. A vibration-only response mechanism based on accelerometer data is specifically suggested. This work, based on an anomaly detection model, has developed a methodology to detect crack bar deterioration in the wind turbine jacket consistin...

Alternative Titles

Full title

Detection of crack bar deterioration at offshore wind turbine supports using generative adversarial networks and autoencoders

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3081570980

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3081570980

Other Identifiers

ISSN

1742-6588

E-ISSN

1742-6596

DOI

10.1088/1742-6596/2647/18/182010

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