Crossmark

Explainable attention-augmented hybrid CNN–LSTM framework for early and accurate wind turbine anomaly detection

Published Online: 2026-05-24

Authors

Ata, Mohamed Maher

Osama, Shorok

Ibraheem, Mai Ramadan

Abas, Ahmed R.
License Information

Text and Data Mining valid from 2026-05-24

Version of Record valid from 2026-05-24
More Information

Article History

Received: 9 December 2025

Accepted: 6 May 2026

First Online: 24 May 2026

Declarations

:

: The authors declare no competing interests.

: We confirm that the manuscript has been read and approved by all named authors and that there are no other persons who satisfied the criteria for authorship but are not listed. We further confirm that the order of authors listed in the manuscript has been approved by all of us.

Document is current