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Aero-engine Gas-path Fault Diagnosis by CNN Based on QAR Data
2020 7th International Conference on Information Science and Control Engineering (ICISCE), 2020Civil aero-engine gas-path fault diagnosis is challenging due to its complicated parametric variation mechanism and the nonlinear relationship between fault performance and parameter variation. There still lacks effective approaches to provide reliable fault detection results with the massive Quick Access Recorder(QAR) data which has been used to ...
Hou Wenkui +5 more
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Overview of Application in Data Mining Techniques to QAR Data Ansys
2022 2nd International Conference on Big Data Engineering and Education (BDEE), 2022Baoqiang Li +5 more
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Safety Evaluation of Aircraft in Final Approach Based on QAR Data
2019 5th International Conference on Transportation Information and Safety (ICTIS), 2019In order to quantify the safety of the aircraft in the final approach phase, based on the Quick Access Recorder (QAR) data, the safety evaluation model of the aircraft in the final approach phase was established by using grey fuzzy comprehensive evaluation method. Grey clustering method was used to determine the safety grade of each indicator. Finally,
Ruishan Sun +3 more
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QAR Data Driven Quality Measurement for Aviation Safety
2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT), 2023Xinbin Zhao +7 more
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Analysis and Research about Landing bounce influence factors based on QAR Data
2019 IEEE 1st International Conference on Civil Aviation Safety and Information Technology (ICCASIT), 2019The proportion is around 53% that hard landing events caused by landing bounce, so it is of great value to do the research about landing bounce. In this paper we selected six key parameters of jet aircraft which influenced landing process greatly. They are airspeed, vertical speed(abbreviated to IVV), Throttle lever Angle(abbreviated to TRA), control ...
Pengchao Dong, Huabo Sun, Feng Xu
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Estimation of aircraft pollution emissions based on QAR data
2023 International Conference on Computer Applications Technology (CCAT), 2023Yonghu Wang +3 more
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Exploring Spatial Patterns of Flight Turbulence Incidents in China with QAR data
2019 IEEE 1st International Conference on Civil Aviation Safety and Information Technology (ICCASIT), 2019In this study, we utilized the Quick Access Recorder (QAR) data collected from Chinese civil aviation industry to extract flight turbulences that occurred in China in 2016. We then and adopted the KDE technique to preliminarily analyze its spatial distribution. Despite this, Voronoi polygons are produced based on the airport locations.
Binbin Lu +4 more
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Flight procedure optimization based on quick access record (QAR) data
2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT), 2023Zhang Xiaoyue +3 more
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Civil Aircraft Engine Start System Health Monitoring Method Based on QAR Data
2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC), 2017As we all know, QAR (Quick access recorder) data take notes on aircraft settings and are indispensable tools for diagnosing faults of aircraft systems. In this paper, the civil aircraft engine start monitoring domestic and abroad are studied, find out the necessary sensors in engine start monitoring system.
Gao Xinlei +4 more
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An Algorithm of Overlimit Event Analysis Based on QAR Data
2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT), 2021Hao Sun, Chun Wang, Qi Li
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