# Real-Time Fault Diagnosis in UHV Power Systems Using Bayesian-Optimized 1D CNN on Raw Time-Series Signals

_Computer Modeling in Engineering &amp; Sciences · Hani Albalawi, Rab Nawaz, Abdul Wadood et al. · 2026_

Canonical: https://diginpl.com/books/paper-cmes-2026-084732
Last updated: 2026-11-02

## Quick facts

- **Author:** Hani Albalawi; Rab Nawaz; Abdul Wadood; Anwar Ul Haq; Shahbaz Khan; Bakht Muhammad Khan; Aadel Mohammed Alatwi ([Crossref](https://doi.org/10.32604/cmes.2026.084732))
- **Published:** 2026 ([Crossref](https://doi.org/10.32604/cmes.2026.084732))
- **Publisher:** Tech Science Press ([Crossref](https://doi.org/10.32604/cmes.2026.084732))
- **Journal:** Computer Modeling in Engineering &amp; Sciences ([Crossref](https://doi.org/10.32604/cmes.2026.084732))
- **DOI:** 10.32604/cmes.2026.084732 ([Crossref](https://doi.org/10.32604/cmes.2026.084732))
- **Licence:** https://doi.org/10.32604/TSP-CROSSMARKPOLICY ([Crossref](https://doi.org/10.32604/cmes.2026.084732))

## Questions

**Who wrote Real-Time Fault Diagnosis in UHV Power Systems Using Bayesian-Optimized 1D CNN on Raw Time-Series Signals?**  
Real-Time Fault Diagnosis in UHV Power Systems Using Bayesian-Optimized 1D CNN on Raw Time-Series Signals was written by Hani Albalawi, Rab Nawaz, Abdul Wadood, Anwar Ul Haq.

**When was Real-Time Fault Diagnosis in UHV Power Systems Using Bayesian-Optimized 1D CNN on Raw Time-Series Signals first published?**  
Real-Time Fault Diagnosis in UHV Power Systems Using Bayesian-Optimized 1D CNN on Raw Time-Series Signals was first published in 2026.

## Sources

- [Publisher record (DOI, via Crossref)](https://doi.org/10.32604/cmes.2026.084732)

## Licence and attribution

Open-access publication. Read it free at the publisher: https://doi.org/10.32604/cmes.2026.084732.

## Cite this page

"Real-Time Fault Diagnosis in UHV Power Systems Using Bayesian-Optimized 1D CNN on Raw Time-Series Signals". DigiNepal. Last updated 2 November 2026. https://diginpl.com/books/paper-cmes-2026-084732. Retrieved 14 November 2026.
