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Prediction model of pilot maneuver stability based on LSTM
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Wenchao WANG1, Jian HE1, Baisheng SONG2, Lei WANG1
China Safety Science Journal | 2024, 34(12) : 48 - 55
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China Safety Science Journal | 2024, 34(12): 48-55
Safety engineering technology
Prediction model of pilot maneuver stability based on LSTM
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Wenchao WANG1, Jian HE1, Baisheng SONG2, Lei WANG1
Affiliations
  • 1 College of Safety Science and Engineering,Civil Aviation University of China,Tianjin 300300,China
  • 2 Flying Squadron Three,Shandong Airlines,Qingdao Shandong 266000,China
Published: 2024-12-28 doi: 10.16265/j.cnki.issn1003-3033.2024.12.0145
Outline
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To predict unsafe events for pilots in real time,a LSTM neural network was used to assess pilot maneuver stability and pilot maneuvering quality was improved by optimizing indicators. Firstly,a set of human-machine maneuvering factors presenting the pilot's maneuvering behavior characteristics was proposed by analyzing the pilot's stability maneuvering QAR data in flight. Secondly,the factors affecting the stability maneuvering of the aircraft were analyzed,and a gray correlation analysis method was used to determine the 15 characteristic parameters of associated risks from the 37 monitoring parameters closely related to the stability of the aircraft. Then,the LSTM model was used to train and test the data to predict the pilot's maneuvering stability,and indicators were proposed to evaluate safety stability quality. Finally,ML was used to rank the importance of relevant influencing factors to improve model validity. The results indicated that the time series model effectively eliminated the interference of parameters with little or no correlation with the prediction results in the original parameters. The stability model can predict risks with high accuracy and provide pilots with a 3-4 s time margin to take preventive measures and reduce unsafe incident occurrence during flight.

long short-term memory (LSTM)  /  pilot  /  maneuvering stability  /  prediction model  /  quick access recorder (QAR)  /  machine learning (ML)
Wenchao WANG, Jian HE, Baisheng SONG, Lei WANG. Prediction model of pilot maneuver stability based on LSTM[J]. China Safety Science Journal, 2024 , 34 (12) : 48 -55 . DOI: 10.16265/j.cnki.issn1003-3033.2024.12.0145
Year 2024 volume 34 Issue 12
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2024.12.0145
  • Receive Date:2024-07-17
  • Online Date:2025-07-09
  • Published:2024-12-28
Article Data
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History
  • Received:2024-07-17
  • Revised:2024-09-20
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Affiliations
    1 College of Safety Science and Engineering,Civil Aviation University of China,Tianjin 300300,China
    2 Flying Squadron Three,Shandong Airlines,Qingdao Shandong 266000,China
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表12种不同金属材料的力学参数

Family
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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