Non-intrusive fault detection in shipboard power systems using wavelet graph neural networks
Author:
Funder
U.S. Department of Energy
U.S. Navy
Office of Naval Research
Publisher
Elsevier BV
Reference36 articles.
1. Naval power systems: integrated power systems for the continuity of the electrical power supply;Doerry;IEEE Electrification Magazine,2015
2. Fault diagnostics in shipboard power systems using graph neural networks;Jacob,2021
3. Dc fault detection and pulsed load monitoring using wavelet transform-fed lstm autoencoders;Ma;IEEE J. Emerg. Selected Topics in Power Electronics,2021
4. Stft cluster analysis for dc pulsed load monitoring and fault detection on naval shipboard power systems;Maqsood;IEEE Transac. Transport. Electrification,2020
5. Short-circuit fault management in dc electric ship propulsion system: protection requirements, review of existing technologies and future research trends;Satpathi;IEEE Transac. Transport. Electrification,2018
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