Robust Variational Bayesian-Based Soft Sensor Model for LPV Processes With Delayed and Integrated Output Measurements

• Published in: IEEE transactions on instrumentation and measurement Vol. 71; pp. 1 - 10
• Main Authors: Salehi, Yousef, Huang, Biao
• Format: Journal Article
• Language: English
• Published: New York IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Bayes methods; Bayesian analysis; Delays; Hybrid systems; Input variables; Laboratories; Linear parameter-varying (LPV) multirate process; Mathematical models; Optimization; Optimization techniques; Outliers (statistics); Prediction algorithms; Predictive models; Process controls; Process parameters; Process variables; robust soft sensor; Robustness (mathematics); Sensors; Soft sensors; Time measurement; Uncertainty; variational Bayesian (VB) algorithm; varying delays

To satisfy the objectives of industrial process control and automation, accurate real-time measurements of quality variables are desired. While most of the process variables are measured frequently, some quality variables cannot be recorded regularly due to economical considerations or technical lim...