Inferential Sensing of Output Quality in Petroleum Refinery Using Principal Component Regression and Support Vector Regression

Author:

Jain Varun,Kishore Perla,Kumar Rahul Anil,Pani Ajaya Kumar

Publisher

IEEE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Estimating finite-time delay in dynamical soft sensors: an industrial case of study;2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE);2022-10-26

2. Back Pressure Monitoring of Power Plant Condenser Using Multiple Adaptive Regression Spline;Emerging Research in Data Engineering Systems and Computer Communications;2020

3. Quality monitoring in petroleum refinery with regression neural network: Improving prediction accuracy with appropriate design of training set;Measurement;2019-02

4. Pollutant monitoring in tail gas of sulfur recovery unit with statistical and soft computing models;Chemical Engineering Communications;2018-05-29

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