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ORCIDFeng Lu 0006
Person information
- affiliation (PhD 2009): Nanjing University of Aeronautics and Astronautics, Jiangsu Province Key Laboratory of Aerospace Power Systems, China
Other persons with the same name
- Feng Lu — disambiguation page
- Feng Lu 0001 — York University, Department of Computer Science, North York, ON, Canada (and 1 more)
- Feng Lu 0002 — Cadence Design Systems, USA (and 1 more)
- Feng Lu 0003
![[0000-0001-9349-1758]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9349-1758")
— Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China - Feng Lu 0004 — Fujian Collaborative Innovation Center for Big Data Applications in Governments, Fuzhou, China (and 1 more)
- Feng Lu 0005 — Beihang University, School of Computer Science and Engineering, State Key Laboratory of Virtual Reality Technology and Systems, Beijing, China (and 1 more)
- Feng Lu 0007 — Georgia Institute of Technology, Atlanta, GA, USA
- Feng Lu 0008 — Nanjing University of Posts and Telecommunications, School of Electronic Science and Engineering, China
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2020 – today
- 2024
[j8]Hao Sun, Yuehua Cheng, Bin Jiang, Feng Lu, Na Wang:
Anomaly Detection Method for Rocket Engines Based on Convex Optimized Information Fusion. Sensors 24(2): 415 (2024)- 2020
- [j7]Feng Lu, Jindong Wu, Jinquan Huang, Xiaojie Qiu:
Restricted-Boltzmann-Based Extreme Learning Machine for Gas Path Fault Diagnosis of Turbofan Engine. IEEE Trans. Ind. Informatics 16(2): 959-968 (2020)
2010 – 2019
- 2018
- [j6]Feng Lu, Yihuan Huang, Jinquan Huang, Xiaojie Qiu:
A Hybrid Kalman Filtering Approach Based on Federated Framework for Gas Turbine Engine Health Monitoring. IEEE Access 6: 9841-9853 (2018) - [j5]Feng Lu, Chunyu Jiang, Jinquan Huang, Xiaojie Qiu:
Aero Engine Gas Path Performance Tracking Based on Multi-Sensor Asynchronous Integration Filtering Approach. IEEE Access 6: 28305-28317 (2018) - [j4]Haowen Zhou, Jinquan Huang, Feng Lu:
Parsimonious Kernel Recursive Least Squares Algorithm for Aero-Engine Health Diagnosis. IEEE Access 6: 74687-74698 (2018) - 2017
- [j3]Xiaodong Chang, Jin-Quan Huang, Feng Lu:
Robust In-Flight Sensor Fault Diagnostics for Aircraft Engine Based on Sliding Mode Observers. Sensors 17(4): 835 (2017) - 2016
- [j2]Cheng-Xin You, Jin-Quan Huang, Feng Lu:
Recursive reduced kernel based extreme learning machine for aero-engine fault pattern recognition. Neurocomputing 214: 1038-1045 (2016) - 2013
- [c1]Nan Liu, Jin-Quan Huang, Feng Lu:
Multivariable PID parameters tuning method based on model matching on frequency domain for aero-engine. AIM 2013: 417-422 - 2012
- [j1]Feng Lu, Jin-Quan Huang, Yaodong Xing:
Fault Diagnostics for Turbo-Shaft Engine Sensors Based on a Simplified On-Board Model. Sensors 12(8): 11061-11076 (2012)
Coauthor Index
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