Deep Learning-Based Detection of Electrical Faults and Power Quality Disturbances in Aerospace Power Systems
eess.SP, cs.LG, cs.SY, eess.SY
Submitted: 2026-09-09
Updated: 2026-09-09
Comments: Accepted for publication in IEEE Transactions on Aerospace and Electronic Systems. Pending journal reference/external DOI
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Related papers
- Runtime Assurance Under Measurement Attack: Necessary and Sufficient Observability Conditions for Learned Control in Radio Access Networks
- Physics-Constrained Deep Learning Model for Contactless Blood Pressure Monitoring from Triaxial Bodyseismography
- Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review
- Continuous Orthogonal Mode Decomposition: Haptic Signal Prediction in Tactile Internet
- Generative Models for Modeling and Synthesizing MIMO Channels in Adverse Weather Conditions
- Deep-Learning-Based Pixelated Microwave Filter Design and Characterization using Electro-Optical Electric-Field Measurements