Knowledge-Data-Based Synchronization States Analysis for Process Monitoring and Its Application to Hydrometallurgical Zinc Purification Process
Author:
Affiliation:
1. Industrial Intelligence Basic Research Studio, Department of Mathematical Science and Cross Frontiers, Peng Cheng Laboratory, Shenzhen, China
2. School of Automation, Central South University, Changsha, Hunan, China
Funder
Major Key Project of PCL
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10355676/10105464.pdf?arnumber=10105464
Reference26 articles.
1. SDARE: A stacked denoising autoencoder method for game dynamics network structure reconstruction
2. Associations Hierarchical Representation Learning for Plant-Wide Process Monitoring by using Multi-Level Knowledge Graph
3. Integral reinforcement learning based event-triggered control with input saturation
4. A Projective and Discriminative Dictionary Learning for High-Dimensional Process Monitoring With Industrial Applications
5. Dynamic Uncertain Causality Graph for Knowledge Representation and Reasoning: Utilization of Statistical Data and Domain Knowledge in Complex Cases
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