A probabilistic framework for real-time performance assessment of inferential sensors

作者：Khatibisepehr Shima; Huang Biao^*; Khare Swanand; Domlan Elom; Xu Fangwei; Espejo Aris; Kadali Ramesh

来源：Control Engineering Practice, 2014, 26: 136-150.

DOI：10.1016/j.conengprac.2014.01.019

• Inferential sensor
• Real-time performance assessment
• Bayesian inference
• Reliability of predictions

A definition for the reliability of inferential sensor predictions is provided. A data-driven Bayesian framework for real-time performance assessment of inferential sensors is proposed. The main focus is on characterizing the effect of operating space on the reliability of inferential sensor predictions. A holistic, quantitative measure of the reliability of the inferential sensor predictions is introduced. A methodology is provided to define objective prior probabilities over plausible classes of reliability based on the total misclassification cost. The real-time performance assessment of multi-model inferential sensors is also discussed. The application of the method does not depend on the identification techniques employed for model development. Furthermore, on-line implementation of the method is computationally efficient. The effectiveness of the method is demonstrated through simulation and industrial case studies.

• 出版日期2014-5