A Federal Recursive RUL Prediction Approach for Inter-Client Information Complementarity for Missing Data
Author:
Affiliation:
1. Shanghai Maritime University,School of Logistic Engineering,Shanghai,China
Funder
National Natural Science Foundation of China
Shanghai Maritime University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10552442/10552389/10552469.pdf?arnumber=10552469
Reference19 articles.
1. RUL Prediction of Rolling Bearings Based on a DCAE and CNN
2. Rolling Bearing Health Indicator Extraction and RUL Prediction Based on Multi-Scale Convolutional Autoencoder
3. A Genetic Algorithm Optimized RNN-LSTM Model for Remaining Useful Life Prediction of Turbofan Engine
4. Anomaly Data Detection of Rolling Element Bearings Vibration Signal Based on Parameter Optimization Isolation Forest
5. A Prediction Method for the RUL of Equipment for Missing Data[J];Wen;Complexity,2021
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