Accurate Remaining Useful Life Prediction with Uncertainty Quantification: a Deep Learning and Nonstationary Gaussian Process Approach.
Zhaoyi XuYanjie GuoJoseph Homer SalehPublished in: CoRR (2021)
Keyphrases
- non stationary
- gaussian process
- deep learning
- gaussian process models
- covariance function
- gaussian processes
- unsupervised learning
- gaussian process regression
- regression model
- bayesian framework
- semi supervised
- latent variables
- approximate inference
- random fields
- hyperparameters
- machine learning
- model selection
- autoregressive
- mental models
- image processing
- higher order
- text mining