A real-time material breakage detection for offshore wind turbines based on improved neural network...
A real-time material breakage detection for offshore wind turbines based on improved neural network algorithm
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
The integrity of offshore wind turbines, pivotal for sustainable energy generation, is often compromised by surface material defects. Despite the availability of various detection techniques, limitations persist regarding cost-effectiveness, efficiency, and applicability. Addressing these shortcomings, this study introduces a novel approach leverag...
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Full title
A real-time material breakage detection for offshore wind turbines based on improved neural network algorithm
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TN_cdi_proquest_journals_2842693380
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2842693380
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E-ISSN
2331-8422
