Towards an effective artificial intelligence systems for condition monitoring of off-shore wind turbines: the application of sensor fusion

Al-Habaibeh, A ORCID: https://orcid.org/0000-0002-9867-6011, Shakmak, B ORCID: https://orcid.org/0000-0003-4534-9196, Boateng, A and Lee, H, 2023. Towards an effective artificial intelligence systems for condition monitoring of off-shore wind turbines: the application of sensor fusion. In: Nixon, JD, Al-Habaibeh, A, Vukovic, V and Asthana, A, eds., Energy and sustainable futures: proceedings of the 3rd ICESF, 2022. Cham: Springer, pp. 11-19. ISBN 9783031309595

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Item Type:	Chapter in book
Description:	Paper presented at International Conference on Energy and Sustainable Futures 2022, Coventry, 7-8 September 2022.
Creators:	Al-Habaibeh, A., Shakmak, B., Boateng, A. and Lee, H.
Publisher:	Springer
Place of Publication:	Cham
Date:	2023
ISBN:	9783031309595
Identifiers:	Number Type 10.1007/978-3-031-30960-1_2 DOI 1791247 Other
Divisions:	Schools > School of Architecture, Design and the Built Environment
Record created by:	Laura Ward
Date Added:	14 Aug 2023 10:33
Last Modified:	14 Aug 2023 10:33
URI:	https://irep.ntu.ac.uk/id/eprint/49554

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