Accurate Remaining Useful Life Prediction With Uncertainty Quantification: A Deep Learning and Nonstationary Gaussian Process Approach.
Zhaoyi XuYanjie GuoJoseph Homer SalehPublished in: IEEE Trans. Reliab. (2022)
Keyphrases
- non stationary
- gaussian process
- deep learning
- gaussian process models
- covariance function
- gaussian processes
- unsupervised learning
- gaussian process regression
- regression model
- semi supervised
- approximate inference
- model selection
- hyperparameters
- machine learning
- bayesian framework
- random fields
- cross validation
- latent variables
- weakly supervised
- mental models
- expectation maximization
- data mining