The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Fault Detection Method based on Artificial Neural Network for 330kV Nigerian Transmission Line
Open accessAbstract
This research focused on identifying various types of faults occurring on 330kV transmission lines through the use of artificial neural networks (ANN). A MATLAB model for the Gwagwalada-Katampe 330kV transmission line in Nigeria was implemented to generate fault datasets. Voltage and current fault parameters were utilized to train and simulate the ANN network architecture selected for each stage of fault detection. Four types of faults were considered, along with a fifth condition representing no fault. The results illustrated the success of the developed model in identifying various fault conditions and system parameters on the Gwagwalada-Katampe 330kV transmission line, modelled using MATLAB Simulink.
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Masoud Ghoreishi Mokri, S., Valadbeygi, N., & G. Stelnikova, I. (2024) · International Journal of Innovative Science and Research Technology (IJISRT) · doi:10.38124/ijisrt/ijisrt24feb1059 · Cited by 511
Services Integration in Tanzania e-Government Systems
Yusuph Kibira, Y., Mohsin, M., & Shao, D. (2024) · International Journal of Innovative Science and Research Technology (IJISRT) · doi:10.38124/ijisrt/ijisrt24mar1155 · Cited by 310
Jamil, M., Sharma, S. K., & Singh, R. (2015) · SpringerPlus · doi:10.1186/s40064-015-1080-x · Cited by 287
Masoud Ghoreishi Mokri, S., Valadbeygi, N., & Mohammed Balyasimovich, K. (2024) · International Journal of Innovative Science and Research Technology (IJISRT) · doi:10.38124/ijisrt/ijisrt24mar754 · Cited by 275
Cited by
A. Bolatito, O., O. Hannah, A., & Ipede, O. (2024) · International Journal of Innovative Science and Research Technology (IJISRT) · doi:10.38124/ijisrt/ijisrt24apr2181 · Cited by 1,545
Analysis of Work Measurement Using a Stopwatch in a Motorcycle Workshop
Rizki, M., Perdinan Sihaloho, Y., Garninda, F., Fatwa, T., & Prastyo, Y. (2024) · International Journal of Innovative Science and Research Technology (IJISRT) · doi:10.38124/ijisrt/ijisrt24may2437 · Cited by 1,545
Alexander, Y., Eko Putra, F., & Anggun Sari, P. (2024) · International Journal of Innovative Science and Research Technology (IJISRT) · doi:10.38124/ijisrt/ijisrt24jun909 · Cited by 1,545
Design and Analysis of Various Formwork Systems
Sudhakarrao Bakale, H. (2024) · International Journal of Innovative Science and Research Technology (IJISRT) · doi:10.38124/ijisrt/ijisrt24jul060 · Cited by 734
A. S., S., N. B., R., H. A., M., R., D., & P. K., T. (2024) · International Journal of Innovative Science and Research Technology (IJISRT) · doi:10.38124/ijisrt/ijisrt24jul207 · Cited by 734
Metadata
- Authors
- Musa Oruma, A., Mahmud, I., Alhaji Adamu, U., Yakubu Wakawa, S., Idris, G., & Mustapha, M.
- Venue
- International Journal of Innovative Science and Research Technology (IJISRT)
- Published
- 2024-04-26
- Pages
- 896-902
- ISSN
- 2456-2165 (ISSN-L)
- OpenAlex
- W4395669330
- Cited by
- 1,767
- References
- 4
- FWCI
- 278.07
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Musa Oruma, A., Mahmud, I., Alhaji Adamu, U., Yakubu Wakawa, S., Idris, G., & Mustapha, M. (2024). Fault Detection Method based on Artificial Neural Network for 330kV Nigerian Transmission Line. International Journal of Innovative Science and Research Technology (IJISRT). https://doi.org/10.38124/ijisrt/ijisrt24apr651
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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