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UAV propeller fault diagnosis using deep learning of non-traditional χ2-selected Taguchi method-tested Lempel–Ziv complexity and Teager–Kaiser energy features

Crossref DOI link: https://doi.org/10.1038/s41598-024-69462-9

Published Online: 2024-08-10

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

Authors

Al-Haddad, Luttfi A.

Giernacki, Wojciech

Basem, Ali

Khan, Zeashan Hameed

Jaber, Alaa Abdulhady

Al-Haddad, Sinan A.
Funding

Funding for this research was provided by:

Politechnika Poznańska (0214/SBAD/0247)
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Text and Data Mining valid from 2024-08-10

Version of Record valid from 2024-08-10
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Article History

Received: 13 June 2024

Accepted: 5 August 2024

First Online: 10 August 2024

Competing interests

: The authors declare no competing interests.

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