Accurate Remaining Useful Life Prediction with Uncertainty Quantification: a Deep Learning and Nonstationary Gaussian Process Approach

23 September 2021

Papers citing "Accurate Remaining Useful Life Prediction with Uncertainty Quantification: a Deep Learning and Nonstationary Gaussian Process Approach"

3 / 3 papers shown

Title
Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities Zhaoyi Xu J. Saleh 62 345 0 19 Aug 2020
Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo Markus Heinonen Henrik Mannerstrom Juho Rousu Samuel Kaski Harri Lähdesmäki 50 103 0 18 Aug 2015
Deep Gaussian Processes Andreas C. Damianou Neil D. Lawrence GP BDL 127 1,181 0 02 Nov 2012