A Review of the Research of Quick Access Recorder data

Author:

Zhang Heng

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.

Publisher

Darcy & Roy Press Co. Ltd.

Reference42 articles.

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3. WANG Yiwei, MO Liping, WANG Yishou,et al. Aero-engine status identification based on full-segment QAR data and convolutional nerural network[J]. Journal of Aerospace Power, 2021, 36(07): 1556-1563.

4. WANG Yi-shou, YU Ying-hong, QING Xin-lin, et al. Exhaust Gas Temperature Baseline Model of Aeroengine Based on Kernel Principal Component Analysis [J]. Aeroengine, 2020, 46(01): 54-60.

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