Soft Sensor Design Using Multi-State Dependent Parameter Methodology Based on Generalized Random Walk Method
Author:
Affiliation:
1. Department of Chemical Engineering, Center for Process Integration and Control (CPIC), University of Sistan and Baluchestan, Zahedan, Iran
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9757031/09695457.pdf?arnumber=9695457
Reference80 articles.
1. A deep learning just-in-time modeling approach for soft sensor based on variational autoencoder
2. Quality monitoring in petroleum refinery with regression neural network: Improving prediction accuracy with appropriate design of training set
3. Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE
4. Adaptive soft sensors for quality prediction under the framework of Bayesian network
5. Autoencoder-based nonlinear Bayesian locally weighted regression for soft sensor development
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