Results 201 to 210 of about 12,266 (242)
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Contingency Fuel Consumption Analysis and Optimization Based on QAR Data
2019 IEEE 1st International Conference on Civil Aviation Safety and Information Technology (ICCASIT), 2019Airlines rely on flight dispatchers to perform the duty of fuel planning. In addition to required fuel loading categories, flight dispatchers also uplift contingency fuel to be on the aircraft to hedge against various uncertainties to ensure flight safety and reduce the risk of diversions.
Yu Qian, Tao Long
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Detecting and Analyzing Flight Unstable Approaches with QAR Big Data
2018 26th International Conference on Geoinformatics, 2018Stable approach is vital for flight safety, and unstable approach is one of the main causes of flight accidents. This study aims to detect flight unstable approaches (FUA) with the quick access recorder (QAR) big data, and analyze the spatio-temporal patterns via exploratory data analysis (EDA) technologies. Results show that the dominant factor of FUA
Chen Wu +4 more
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A novel temporal-spatial analysis system for QAR big data
2017 IEEE 17th International Conference on Communication Technology (ICCT), 2017The current analysis restricts to the statistics of different exceedance events in flight operational quality assurance (FOQA). Statistical methods lack effective correlation to flight data at different time and space, and lack deep-level mining and application of flight quality monitoring information.
Huabo Sun +3 more
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Fault Prediction Technology of Civil Aircraft Based on Qar Data
2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC), 2017As a quick access recorder (QAR) loaded on the plane, QAR data records hundreds of parameter data produced in the process of flying. But these data are not currently being used effectively. It is becoming increasingly necessary to use QAR data for fault prediction. First, the technical route of the civil aircraft fault prediction is illustrated. Second,
Rui Li +4 more
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Research on Influencing Factors of Fuel Flow Based on QAR Data
2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology (ICCASIT, 2020The rapid growth of commercial air transportation and the fluctuation of fuel prices have driven the research of airlines’ fuel consumption issues. In order to analyze the main influencing factors of the aircraft fuel flow, based on the QAR data of 737-800, this paper takes the fuel flow of the aeroengine as the fitting target, and collects some ...
Wu Zixuan +4 more
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Spatio-temporal analysis of unstable approach incidents with QAR Big Data
2019 IEEE 1st International Conference on Civil Aviation Safety and Information Technology (ICCASIT), 2019A stable approach is vital for flight safety, while unstable approach (UA) is one of the main causes of flight risks. This study aims to analyze the spatio-temporal patterns with QAR big data via exploratory data analysis (EDA) technologies. In this paper, the spatio-temporal distribution characteristics of the UA incidents are preliminarily explored ...
Jiayi Xie +3 more
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Enhanced C-17 O-level QAR data processing and reporting
1997 IEEE Autotestcon Proceedings AUTOTESTCON '97. IEEE Systems Readiness Technology Conference. Systems Readiness Supporting Global Needs and Awareness in the 21st Century, 2002C-17 avionics built-in test (BIT) improvement is critical to mission readiness and capability. Enhanced C-17 Globemaster III propulsion data reporting using personal computer relational database (RDB) software contributes to improved avionics BIT, and introduces many other base-level advantages for the maintenance technician; a corresponding benefit is
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Association Rules Mining with QAR Data: an Analysis on Unstable Approaches
2019 IEEE 1st International Conference on Civil Aviation Safety and Information Technology (ICCASIT), 2019Stable approach is vital for flight safety, and more attention should be paid in analyzing approaching phase of aircraft stages. This study aims to detect unstable approaches (UA) with the quick access recorder (QAR) data, and analyze association rules between parameters in approaching phase via exploratory data analysis (EDA) and association rule ...
Jiayi Xie +3 more
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Data Mining on the Flight Quality of an Airline based on QAR Big Data
2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology (ICCASIT, 2020At present, the airlines have made some achievements in event analysis and investigation by using their quick access record (QAR) data. But where each airline’s flight quality is in the industry, and whether there is a problem in itself, the airline can’t find.
Xin Wang, Xinbin Zhao, Liling Yu
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Advances in Atmospheric Sciences