Analysis of Life Prediction of Automotive Scale Sensors Based on LSTM
This paper describes an LSTM-based life prediction method for vehicle weighing sensors to predict the future state of the sensors by learning and analyzing the historical data.The experimental results show that the proposed method outperforms traditional statistical methods and other machine learning algorithms in terms of prediction accuracy,providing a more accurate basis for sensor maintenance and replacement.
lifetime predictionlong short-term memory network(LSTM)time series
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