Enabling High-fidelity Modeling of Digital Twin for Hydraulic Systems: KP-PSO Based Parameter Identification
Author:
Affiliation:
1. College of Electronics and Information Engineering, Tongji University,Shanghai,China,201804
Funder
National Key R&D Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10218726/10218397/10218888.pdf?arnumber=10218888
Reference16 articles.
1. A Digital Twin Based Estimation Method for Health Indicators of DC–DC Converters
2. Review of digital twin about concepts, technologies, and industrial applications
3. Digital Twin for Degradation Parameters Identification of DC-DC Converters Based on Bayesian Optimization
4. An Aggregation Degree Based PSO Algorithm
5. Fault diagnosis and predictive maintenance for hydraulic system based on digital twin model
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