Remaining useful life prediction based on transfer multi-stage shrinkage attention temporal convolutional network under variable working conditions
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Reference39 articles.
1. Degradation modeling and remaining useful life prediction for dependent competing failure processes;Yan;Reliab Eng Syst Saf,2021
2. A critical review on the solenoid valve reliability, performance and remaining useful life including its industrial applications;Angadi;Eng Fail Anal,2022
3. Remaining useful life (RUL) estimation of electronic solder joints in rugged environment under random vibration;Muhammad;Microelectron Reliab,2020
4. Fuzzy model identification based on mixture distribution analysis for bearings remaining useful life estimation using small training data set;Huang;Mech Syst Signal Process,2021
5. Remaining useful life prediction of ultrasonic motor based on Elman neural network with improved particle swarm optimization;Yang;Measurement,2019
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