Dynamic Probabilistic Latent Variable Model for Process Data Modeling and Regression Application

Volume: 27, Issue: 1, Pages: 323 - 331
Published: Jan 1, 2019
Abstract
Dynamic and uncertainty are two main features of the industrial process data which should be paid attention when carrying out process data modeling and analytics. In this paper, the dynamical and uncertain data characteristics are both taken into consideration for the regression modeling purpose. Based on the probabilistic latent variable modeling framework, the linear dynamic system is introduced for incorporation of the dynamical data feature....
Paper Details
Title
Dynamic Probabilistic Latent Variable Model for Process Data Modeling and Regression Application
Published Date
Jan 1, 2019
Volume
27
Issue
1
Pages
323 - 331
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