Ensembles of probabilistic LSTM predictors and correctors for bearing prognostics using industrial standards.
Venkat NemaniHao LuAdam ThelenChao HuAndrew T. ZimmermanPublished in: Neurocomputing (2022)
Keyphrases
- industrial applications
- probabilistic model
- neural network ensemble
- bayesian networks
- posterior probability
- uncertain data
- decision trees
- probabilistic logic
- database systems
- widely accepted
- ensemble methods
- recurrent neural networks
- conditional probabilities
- ensemble members
- classifier ensemble
- database
- generative model
- support vector machine
- training set
- case study
- web services
- information systems