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Intelligent Aircraft-from Navigation to Control, from Fault Diagnosis to Prognostics

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Navigation and Positioning".

Deadline for manuscript submissions: closed (20 October 2023) | Viewed by 434

Special Issue Editors


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Guest Editor
School of Civil Aviation, Northwestern Polytechnical University, Xi'an 710060, China
Interests: unmanned aerial vehicles; intelligent flight control; fault diagnosis and prognostics of aircraft

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Guest Editor
Department of Civil Aviation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Interests: static electricity; monitoring; debris; useful life; health care management; rolling bearing; airports; runways; aircraft landing

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Guest Editor
School of General Engineering, Beihang University, Beijing 100191, China
Interests: air transportation networks; resilience of complex networks

Special Issue Information

Dear Colleagues,

In recent decades, aircraft have witnessed tremendous improvements in terms of their geometric structure, flying mechanism, sensing and vision ability, aviation quality, path planning, intelligent behaviour and adaptability, working methodology, flying features, and navigation control. For space and aviation missions, optimization of flight conditions and safe operation is intrinsically related to guidance, navigation and control systems of the aircraft and includes sensors and actuators monitoring. Many future space missions will require autonomous proximity operations, including fault diagnosis and the subsequent control and guidance recovery actions. For upcoming and future aircraft, how the early and robust diagnosis of some small and subtle faults contributes to the overall optimization of aircraft design has become a similar issue. Authors are invited to submit full research articles and review manuscripts addressing (but not limited to) the following topics:

  • Aircraft fault sensing, test, and diagnosis;
  • Aircraft fault prognostics;
  • Intelligent monitoring for aircraft;
  • Aircraft flight control;
  • Aircraft navigation;
  • Intelligent unmanned aerial vehicles;
  • Air transportation networks;
  • Guidance, navigation, and control;
  • Aircraft safety engineering and maintenance;
  • Big data for aircraft safety sensing.

Prof. Dr. Zhenbao Liu
Prof. Dr. Hongfu Zuo
Prof. Dr. Xiaoqian Sun
Guest Editors

Manuscript Submission Information

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Published Papers

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