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A Degradation Warning Method for Ultra-High Voltage Energy Devices Based on Time-Frequency Feature Prediction.

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Summary
This summary is machine-generated.

This study introduces an improved algorithm for analyzing leakage currents in ultra-high voltage devices. It enhances fault prediction and provides early warnings for resistance plate deterioration.

Keywords:
fault warningfeature predictionleakage currentsignal decompositionultra-high voltage energy device

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Area of Science:

  • Electrical Engineering
  • Materials Science
  • Signal Processing

Background:

  • Resistance plate deterioration in ultra-high voltage devices poses a significant risk.
  • Accurate monitoring of leakage currents is crucial for predicting device failure.
  • Existing methods struggle with noise and accurate long-term forecasting.

Purpose of the Study:

  • To propose an improved algorithm for analyzing leakage current characteristics.
  • To enhance the prediction accuracy of future trends in DC characteristics.
  • To enable early short-term warnings for lightning arrester conditions.

Main Methods:

  • Developed an improved symplectic geometric mode decomposition-wavelet packet (ISGMD-WP) algorithm.
  • Enhanced the I-Informer prediction network with improved embedding and distillation layers.
  • Integrated predictions from adjacent columns to mitigate power grid fluctuations.

Main Results:

  • The ISGMD-WP algorithm achieved a high decomposition ability evaluation index (EIDC) of 1.95 under intense noise.
  • The I-Informer network demonstrated low mean absolute error (MAE) of 0.02538 and root mean square error (RMSE) of 0.03175 in long-term predictions.
  • The integrated approach enables accurate fault prediction and timely warnings for energy devices.

Conclusions:

  • The proposed ISGMD-WP algorithm effectively isolates prominent harmonics of leakage current.
  • The enhanced I-Informer network accurately forecasts future changes in DC characteristics.
  • The study successfully provides a method for early fault warnings in ultra-high voltage energy devices.