MSCNN Based Remaining Useful Life Prediction for Bearings
2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)（2021）
摘要
Bearing is the basic component of rotating machinery, and its state is closely related to the safe operation of the equipment. Accurate prediction of the remaining service life of the bearing can improve the reliability of the equipment, and also provide practical reference for equipment maintenance. Therefore, a multi-scale convolution neural network prediction model is proposed to accurately est...
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关键词
Degradation,Training,Time-frequency analysis,Convolution,Statistical analysis,Feature extraction,Wavelet analysis
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