Abstract Details
140 / 2024-04-14 20:16:06
Remaining Life Prediction of High-Voltage Circuit Breakers Based on Optimized Particle Swarm-Bidirectional Long Short-Term Memory Neural Network
Keywords: Magnetic control mechanism; High-voltage circuit breaker; Gaussian filtering; Particle swarm optimization; Bidirectional long short-term memory network; Remaining life
Final Paper
Magnetic control mechanism high-voltage circuit breakers play a crucial role in power systems, but their long-term operation may be affected by various factors, leading to degradation and failure. To better predict the remaining service life of circuit breakers, this study proposes a novel method that integrates signal processing and deep learning techniques. First, the collected current signals are smoothed using the Gaussian filtering method to reduce waveform interference, allowing for more accurate extraction of current degradation features. The time series of the health index is then reconstructed using a sliding time window. Next, the particle swarm optimization (PSO) algorithm is used to train a bidirectional long short-term memory neural network (BiLSTM), establishing a model for predicting the lifespan of magnetic control mechanism high-voltage circuit breakers. The PSO-BiLSTM model can effectively predict the degradation trend of the circuit breakers and determine their remaining service life based on a set failure threshold, providing important reference data for machine maintenance and management. Experimental results show that, compared to traditional prediction models, the proposed method offers higher prediction accuracy and reliability, providing an effective means for ensuring the stable operation and safety of power systems.
Important Date
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Conference Date
Nov 10
2024
toNov 13
2024
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Nov 11 2024
Draft paper submission deadline
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Nov 19 2024
Registration deadline
Sponsored By
Xi’an Jiaotong Universit
Contact Information
Previous Conferences
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2022-11-24 Bangladesh Dhaka
2022 International Conference on Energy and Power Engineering -
2019-03-14 Bangladesh
2019 International Conference on Energy and Power Engineering
