An integrated Gaussian process regression for prediction of remaining useful life of slow speed bearings based on acoustic emission

2017 ◽  
Vol 84 ◽  
pp. 485-498 ◽  
Author(s):  
S.A. Aye ◽  
P.S. Heyns
Keyword(s):  
Acoustic Emission ◽  
Gaussian Process ◽  
Gaussian Process Regression ◽  
Remaining Useful Life ◽  
Slow Speed ◽  
Useful Life

scholarly journals Gaussian Process based Remaining useful life Prediction for Electric Energy Metering Equipment

2021 ◽  
Vol 2125 (1) ◽  
pp. 012032
Author(s):  
Ning Li ◽  
Junfeng Duan ◽  
Jun Ma ◽  
Wei Qiu ◽  
Wei Zhang ◽  
...  
Keyword(s):  
Gaussian Process ◽  
Extreme Environments ◽  
Electric Energy ◽  
Gaussian Process Regression ◽  
Remaining Useful Life ◽  
Probability Density Estimation ◽  
Gauss Kernel ◽  
Markov Chain Method ◽  
Energy Metering ◽  
Useful Life

Abstract Electric energy metering equipment (EEME) will fail in advance not as designed running in extreme environments. A multi-kernel Gaussian process regression model using measurement error data to perceive remaining useful life (RUL) for EEME is proposed. Firstly, the gauss kernel and periodic kernel are used to match the health index trend of EEME under a variety of typical environmental stresses. Furthermore, the Bayesian method and Monte Carlo Markov chain method are used to solve the model, and the Weibull distribution is used to fit the posterior trajectory to get the probability density estimation of the RUL.

scholarly journals Research on Remaining Useful Life Prognostics Based on Fuzzy Evaluation-Gaussian Process Regression Method

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 71965-71973 ◽  
Author(s):  
Weijie Kang ◽  
Jiyang Xiao ◽  
Mingqing Xiao ◽  
Yangguang Hu ◽  
Haizhen Zhu ◽  
...  
Keyword(s):  
Gaussian Process ◽  
Gaussian Process Regression ◽  
Regression Method ◽  
Remaining Useful Life ◽  
Fuzzy Evaluation ◽  
Useful Life
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