Xudong Shi

Orcid: 0000-0002-1785-4171

Affiliations:
  • Civil Aviation University of China, College of Electronic Information and Automation, Tianjin, China
  • Harbin Institute of Technology, School of Mechanical and Electronic Engineering, China (PhD 2001)


According to our database1, Xudong Shi authored at least 12 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
DC Arc Model Superimposing Current-Controlled Arc Noise on a Heuristic Average Model.
IEEE Trans. Aerosp. Electron. Syst., 2024

2022
Application of Augmented Spread Spectrum Time Domain Reflectometry for Detection and Localization of Soft Faults on a Coaxial Cable.
IEEE Trans. Aerosp. Electron. Syst., 2022

2021
Online Detection of Aircraft ARINC Bus Cable Fault Based on SSTDR.
IEEE Syst. J., 2021

2019
Reliability analysis for electric power systems of more-electric aircraft based on the minimal path set.
J. Comput. Methods Sci. Eng., 2019

2017
Modeling and simulation of aircraft main generator stator winding faults.
J. Comput. Methods Sci. Eng., 2017

2016
Research on Fault Diagnosis Method of Civil Aviation Engine Variable Bleed Valve System Based on Artificial Immune Algorithm.
Int. J. Pattern Recognit. Artif. Intell., 2016

Static modeling and power flow of the more electric aircraft power system.
Proceedings of the 3rd International Conference on Systems and Informatics, 2016

2015
Modeling and Simulation of Power Distribution System in More Electric Aircraft.
J. Electr. Comput. Eng., 2015

Research on aircraft engine actuator and sensor faults diagnosis with Takagi-Sugeno fuzzy model and H^∞ observer.
J. Comput. Methods Sci. Eng., 2015

Research on noise reduction of weak signals in grounding reliability testing of aircraft cable shield.
J. Comput. Methods Sci. Eng., 2015

A Fault Diagnosis Scheme for Aircraft Multibranches Wiring Network Based on Matching Algorithm.
Int. J. Distributed Sens. Networks, 2015

2011
Lamarckism and mechanism synthesis: approaching constrained optimization with ideas from biology
CoRR, 2011


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