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Filtro per: Collaboratore Carroll, James Collaboratore Engineering and Physical Sciences Research Council Tipo di risorsa http://purl.org/coar/resource_type/c_db06

O&M cost modelling of large component major replacement in next-generation offshore wind turbines with uncertain failure rates

Creatore:

Jenkins, Brian

Data:

2022

Funder:

Engineering and Physical Sciences Research Council

Department, School or Faculty:

Department of Electronic and Electrical Engineering
Applications of machine learning in diagnostics and prognostics of wind turbine high speed generator failure

Creatore:

Turnbull, Alan

Data:

2021

Funder:

Engineering and Physical Sciences Research Council

Department, School or Faculty:

Centre for Doctoral Training in Wind and Marine Energy Systems and Structures and Department of Electronic and Electrical Engineering

O&M cost modelling of large component major replacement in next-generation offshore wind turbines with uncertain failure rates

Applications of machine learning in diagnostics and prognostics of wind turbine high speed generator failure

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