A Novel Fused NARX-Driven Digital Twin Model for Aeroengine Gas Path Parameter Prediction
Author:
Affiliation:
1. School of Control Science and Engineering, Dalian University of Technology, Dalian, China
2. School of Control Science and Engineering, Dalian Maritime University, Dalian, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Liaoning Province, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/9424/10492621/10381484.pdf?arnumber=10381484
Reference26 articles.
1. Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects
2. Digital Twin in Industry: State-of-the-Art
3. The Research of Aero-engine Digital Twin Model Based on Model-driven and Data-driven Fusion Method**National Science and Technology Major Project (2017-I-0003-0003)
4. Digital twin–driven aero-engine intelligent predictive maintenance
5. Digital Twins-Based Online Monitoring of TFE-731 Turbofan Engine Using Fast Orthogonal Search
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