Abstract
In recent years, QAR data has been widely concerned by scholars because of its reliability and integrity. QAR data has become an important basis for flight quality monitoring, engine status detection, aircraft system failure diagnosis, 3D animation route design and other aspects of various airlines in the world. The keywords of research on QAR data in China and other countries were clustering analyzed by VOSviewer, the hot spots were introduced, and research were summarized and discussed from five aspects. At last, some shortcomings of current research on QAR data were pointed out and some future development directions were presented.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.