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On confidence interval-based anomaly detection approach for temperature predictions of wind turbine drivetrains to assist in lifetime extension assessment

Crossref DOI link: https://doi.org/10.1007/s10010-025-00791-5

Published Online: 2025-03-27

Published Print: 2025-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Tartt, Kelly

Kazemi-Amiri, Abbas Mehrad

Nejad, Amir R.

Carroll, James
Funding

Funding for this research was provided by:

NTNU Norwegian University of Science and Technology
License Information

Text and Data Mining valid from 2025-03-27

Version of Record valid from 2025-03-27
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Article History

Received: 15 September 2024

Accepted: 30 January 2025

First Online: 27 March 2025

Declarations

:

: On behalf of all authors, the corresponding author states that there is no conflict of interest.

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