Relay Life Prediction Based on Service Performance Degradation
Parameters
- Yong Li,
- Xiaolong Huang,
- Jiajun Wang
Yong Li
Fujian Police College
Corresponding Author:yl112@fjpsc.edu.cn
Author ProfileAbstract
In this paper, a relay life prediction method based on service
performance degradation parameters is proposed for the performance
degradation of relays during long-term operation. Firstly, the soft
threshold method is selected for wavelet noise reduction to process the
relay performance data and remove the noise interference. Then,
principal component analysis is used to extract the health factors
affecting relay life from the original data, and finally the first
principal component score is taken as the relay health factor and
smoothed with the sliding average method. Finally, the extracted health
factors are utilized in the LSTM-based relay life prediction model to
predict the relay life, and the performance of the LSTM model is
compared with that of the ARIMA model in relay life prediction, and the
experimental results show that the LSTM model has better prediction
performance. Meanwhile, compared with the traditional life prediction
method, this method is more scientific and reliable, which helps to
improve the accuracy of relay life prediction and reduce the operation
and maintenance cost.