Predictive Maintenance Scheduling for Aircraft Engines Based on Remaining Useful Life Prediction
Author:
Affiliation:
1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China
2. College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, China
Funder
National Natural Science Foundation of China
Aeronautical Science Foundation of China Aviation Academy
Postgraduate Research and Practice Innovation Program of Jiangsu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6488907/10570342/10472322.pdf?arnumber=10472322
Reference41 articles.
1. A dynamic predictive maintenance approach using probabilistic deep learning for a fleet of multi-component systems
2. Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0
3. Data-Driven Monitoring and Predictive Maintenance for Engineering Structures: Technologies, Implementation Challenges, and Future Directions
4. Remaining Useful Life Prediction of IIoT-Enabled Complex Industrial Systems With Hybrid Fusion of Multiple Information Sources
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