Enhanced complex wire fault diagnosis via integration of time domain reflectometry and particle swarm optimization with least square support vector machine
- DOI
- 10.1049/smt2.12187
- Published
- 2024-03-07
- Container
- IET Science, Measurement & Technology
- Publisher
- Institution of Engineering and Technology (IET)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1049/smt2.12187,
title = {Enhanced complex wire fault diagnosis via integration of time domain reflectometry and particle swarm optimization with least square support vector machine},
author = {Abderrzak Laib and Mohamed Chelabi and Yacine Terriche and Mohammed Melit and Hamza Boudjefdjouf and Hafiz Ahmed and Zakaria Chedjara},
year = {2024},
journal = {IET Science, Measurement \& Technology},
doi = {10.1049/smt2.12187},
url = {https://doi.org/10.1049/smt2.12187}
}RIS
TY - JOUR TI - Enhanced complex wire fault diagnosis via integration of time domain reflectometry and particle swarm optimization with least square support vector machine AU - Abderrzak Laib AU - Mohamed Chelabi AU - Yacine Terriche AU - Mohammed Melit AU - Hamza Boudjefdjouf AU - Hafiz Ahmed AU - Zakaria Chedjara PY - 2024 JO - IET Science, Measurement & Technology DO - 10.1049/smt2.12187 UR - https://doi.org/10.1049/smt2.12187 ER -
APA
Laib, A., Chelabi, M., Terriche, Y., Melit, M., Boudjefdjouf, H., Ahmed, H., & Chedjara, Z. (2024). Enhanced complex wire fault diagnosis via integration of time domain reflectometry and particle swarm optimization with least square support vector machine. IET Science, Measurement & Technology. https://doi.org/10.1049/smt2.12187
Source records
- crossref · retrieved 2026-09-26T18:38:00.737Z