Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,General Engineering,Aerospace Engineering,Automotive Engineering,Industrial and Manufacturing Engineering,Applied Mathematics
Reference33 articles.
1. Zhuang J, Jia M, Zhao X (2022) An adversarial transfer network with supervised metric for remaining useful life prediction of rolling bearing under multiple working conditions. Reliab Eng Syst Saf 225:108599
2. Gupta M, Wadhvani R, Rasool A (2022) A real-time adaptive model for bearing fault classification and remaining useful life estimation using deep neural network. Knowl Based Syst 259:110
3. Ahmad W, Khan SA, Islam MM, Kim JM (2019) A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models. Reliab Eng Syst Saf 184:67–76
4. Qian Y, Yan R, Gao RX (2017) A multi-time scale approach to remaining useful life prediction in rolling bearing. Mech Syst Signal Process 83:549–567
5. Yan M, Xie L, Muhammad I, Yang X, Liu Y (2022) An effective method for remaining useful life estimation of bearings with elbow point detection and adaptive regression models. ISA Trans 128:290–300
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献