Concentration Diagnosis in Soft Sensing Based on Bayesian T-Distribution Mixture Regression.
Changhai XiaZhiping PengDelong CuiQirui LiLihui SunPublished in: FSDM (2023)
Keyphrases
- sparse bayesian learning
- gaussian distribution
- gaussian processes
- mixture model
- real time
- model selection
- relevance vector machine
- regression model
- prior distribution
- multi variate
- sensor networks
- fault diagnosis
- heavy tailed
- bayesian learning
- bayesian networks
- mixture of gaussians
- exponential family
- dirichlet distribution
- model averaging
- mixture of gaussian distributions
- support vector regression
- bayesian methods
- model based diagnosis
- probability density function
- maximum likelihood
- probability distribution
- artificial neural networks
- support vector
- fault detection
- linear regression
- posterior probability
- random variables
- mixture modeling
- heavy tailed distributions
- neural network