Preliminary Exploration of Large Models Based on Self-Supervised Learning for Health Monitoring of Power Electronic Converters
eess.SY, cs.SY
Submitted: 2026-10-13
Updated: 2026-10-13
Comments: Accepted by Proceedings of the 2nd Electrical Artificial Intelligence Conference, EAIC 2025
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- GPT-4 Technical Report
- On the Opportunities and Risks of Foundation Models
- A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
- sktime: A Unified Interface for Machine Learning with Time Series
- Scaling Laws for Neural Language Models
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