A two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings

A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

Biao Wang, Yaguo Lei, Naipeng Li et al. · IEEE Transactions on Reliability · 2018 · 1.8K citations

Engineering, Data Science, Machine Learning +16

A recurrent neural network based health indicator for remaining useful life prediction of bearings

Liang Guo, Naipeng Li, Feng Jia et al. · Neurocomputing · 2017 · 1.2K citations

Computing, Data Science, Machine Learning +14

PRONOSTIA : An experimental platform for bearings accelerated degradation tests.

Patrick Nectoux, Rafael Gouriveau, Kamal Medjaher et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 2012 · 692 citations

Engineering, Mechatronics Engineering, Condition Assessment +16

An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings

Naipeng Li, Yaguo Lei, Jing Lin et al. · IEEE Transactions on Industrial Electronics · 2015 · 655 citations

Computing, Decision Sciences, Forecasting +14

Residual Life Predictions From Vibration-Based Degradation Signals: A Neural Network Approach

Nagi Gebraeel, Mark Lawley, Runzi Liu et al. · IEEE Transactions on Industrial Electronics · 2004 · 545 citations

Engineering, Computer Science, Industrial Engineering +17