Acta Aeronautica et Astronautica Sinica ›› 2024, Vol. 45 ›› Issue (5): 529957-529957.doi: 10.7527/S1000-6893.2024.29957
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Fei MA1,2, Qiong ZHANG1,3(), Peijun LAI1, Yidi YUE1
Received:
2023-12-08
Revised:
2023-12-11
Accepted:
2024-01-05
Online:
2024-03-15
Published:
2024-01-11
Contact:
Qiong ZHANG
E-mail:withnoend@sina.com
Supported by:
CLC Number:
Fei MA, Qiong ZHANG, Peijun LAI, Yidi YUE. BP neural network⁃based quantitative classification model for safety in experimental flight training[J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(5): 529957-529957.
Table 2
Indicator system for analysis of quantitative classification of safety
一级指标 | 二级指标 | 影响方向 | 影响权重 |
---|---|---|---|
技能胜任力 | 科目风险等级 | 机 | 通过NASA试飞科目风险评估得到,指标值=(低, 中,高)=(1,3,5) |
环境 | 环 | 通过试飞训练大纲得到,指标值=(低,中,高)=(1,3,5) | |
人体健康状况 | 人 | 反映训练过程中试飞员身体健康程度,通过监测手环系统得到具体数据,指标值=(低,中,高)=(1,3,5) | |
非技能胜任力 | 人体疲劳状况 | 人 | 反映训练过程中试飞员疲劳程度,通过监测手环系统得到具体数据,指标值=(低, 中,高)=(1,3,5) |
人体情绪状况 | 人 | 反映训练过程中试飞员情绪程度,通过监测手环系统得到具体数据,指标值=(低,中,高)=(1,3,5) | |
人体压力状况 | 人 | 反映训练过程中试飞员压力程度,通过监测手环系统得到具体数据,指标值=(低,中,高)=(1,3,5) |
Table 3
Pre⁃indicator warning zone for quantitative safety classification in experimental flight training
分类 | 正常 | 预警 | 异常 |
---|---|---|---|
健康 | 83.941 713 56 | 63.278 941 93 | 33.941 713 56 |
疲劳 | 85.021 595 52 | 69.008 467 34 | 35.021 595 52 |
情绪 | 85.348 402 53 | 69.322 735 41 | 35.348 402 53 |
压力 | 85.060 601 05 | 69.097 994 93 | 35.060 601 05 |
综合 | 80.824 997 98 | 67.986 621 85 | 40.824 997 98 |
Table 4
Input data for quantitative classification model of safety during process of experimental flight training
指标数组 | 科目风险等级 | 环境 | 人体健康状况 | 人体疲劳状况 | 人体情绪状况 |
---|---|---|---|---|---|
1 | 0.069 | 0.121 | 0.008 | 0.134 | 0.681 |
2 | 0.014 | 0.323 | 0.226 | 0.005 | 0.512 |
3 | 0.118 | 0.685 | 0.456 | 0.067 | 0.467 |
4 | 0.121 | 0.691 | 0.459 | 0.071 | 0.469 |
5 | 0.173 | 0.202 | 0.093 | 0.147 | 0.343 |
6 | 0.019 | 0.687 | 0.069 | 0.456 | 0.471 |
7 | 0.117 | 0.685 | 0.073 | 0.469 | 0.466 |
8 | 0.018 | 0.255 | 0.088 | 0.652 | 0.279 |
9 | 0.266 | 0.106 | 0.069 | 0.034 | 0.358 |
10 | 0.273 | 0.116 | 0.073 | 0.047 | 0.343 |
Table 5
Expected and actual warning output data for quantitative classification model of safety during experimental flight training
试验样本 | 性别 | 专业 | 分类 | 实际输出 | 期望输出 | 预警等级 |
---|---|---|---|---|---|---|
飞1 | 男 | 试验飞行 | 健康 | (0.001 7, 0.001 6, 0.986 5 ) | (0 0 1) | Ⅰ(高风险) |
飞2 | 男 | 试验飞行 | 情绪 | (0.986 5, 0, 0.000 2) | (1 0 0) | Ⅲ(低风险) |
飞3 | 男 | 试验飞行 | 疲劳 | (0.000 5, 0.001 3, 0.987 7) | (0 0 1) | Ⅰ(高风险) |
飞4 | 男 | 试验飞行 | 健康 | (0.000 2, 0.001 6, 0.997 7) | (0 0 1) | Ⅰ(高风险) |
飞5 | 男 | 试验飞行 | 疲劳 | (0.000 6, 0.998 8, 0.002 5) | (0 1 0) | Ⅱ(中风险) |
飞6 | 男 | 试验飞行 | 健康 | (0.000 1, 0.001 1, 0.988 9) | (0 0 1) | Ⅰ(高风险) |
飞7 | 男 | 试验飞行 | 健康 | (0.001 2, 0.000 4, 0.993 7) | (0 0 1) | Ⅰ(高风险) |
飞8 | 男 | 试验飞行 | 疲劳 | (0.002 2, 0.996 6, 0.000 2) | (0 1 0) | Ⅱ(中风险) |
飞9 | 男 | 试验飞行 | 情绪 | (0.000 4, 0.999 3, 0.005 6 ) | (0 1 0) | Ⅱ(中风险) |
飞10 | 男 | 试验飞行 | 健康 | (0.000 1, 0.982 9, 0.002 4 ) | (0 1 0) | Ⅱ(中风险) |
1 | HAFEZI ZADEH N, MOVAHEDI M M, AHMAD SHAYANNIA S. Human resource scheduling in project management using the simulated annealing algorithm with the human factors engineering approach[J]. Discrete Dynamics in Nature and Society, 2022, 2022: 3597014. |
2 | 钱泱, 李文清, 段文华. 水电厂作业现场风险等级动态评价及应用[J]. 水电能源科学, 2022, 40(8): 177-180. |
QIAN Y, LI W Q, DUAN W H. Dynamic evaluation and application of risk grade in operation site of hydropower plant[J]. Water Resources and Power, 2022, 40(8): 177-180 (in Chinese). | |
3 | 王永刚, 何定坤. 飞行员持续飞行安全能力评价模型[J]. 中国民航大学学报, 2022, 40(4): 61-64. |
WANG Y G, HE D K. Evaluation model of continuous flight safety capability of pilots[J]. Journal of Civil Aviation University of China, 2022, 40(4): 61-64 (in Chinese). | |
4 | 韩国玺, 张曙光, 李志涛. 民用飞机高原风场进近驾驶行为变化对失控趋势的影响[J]. 航空学报, 2015, 36(6): 1775-1787. |
HAN G X, ZHANG S G, LI Z T. Influence on loss of control trend by pilot behavior changes during highland wind-field approach[J]. Acta Aeronautica et Astronautica Sinica, 2015, 36(6): 1775-1787 (in Chinese). | |
5 | 苏畅, 张恒喜. 飞机作战效能评估中人的可靠性的引入方法[J]. 航空学报, 2006, 27(2): 262-266. |
SU C, ZHANG H X. Method of considering human reliability in combat effectiveness evaluation of aircraft[J]. Acta Aeronautica et Astronautica Sinica, 2006, 27(2): 262-266 (in Chinese). | |
6 | 姚裕盛, 徐开俊. 基于BP神经网络的飞行训练品质评估[J]. 航空学报, 2017, 38(S1): 721513. |
YAO Y S, XU K J. Evaluation of flight training quality based on BP neural network[J]. Acta Aeronautica et Astronautica Sinica, 2017, 38(S1): 721513 (in Chinese). | |
7 | 刘浩, 王昊, 孟光磊, 等. 基于动态贝叶斯网络和模糊灰度理论的飞行训练评估[J]. 航空学报, 2021, 42(8): 525838. |
LIU H, WANG H, MENG G L, et al. Flight training evaluation based on dynamic Bayesian network and fuzzy gray theory[J]. Acta Aeronautica et Astronautica Sinica, 2021, 42(8): 525838 (in Chinese). | |
8 | 张琼, 彭天池, 王俊杰. 基于场景的国产民机试飞安全培训体系建设实践[J]. 民航管理, 2021(6): 76-80. |
ZHANG Q, PENG T C, WANG J J. Practice of building scenario-based safety training system for domestic civil aircraft test flight[J]. Civil Aviation Management, 2021(6): 76-80 (in Chinese). | |
9 | 石娟, 常丁懿, 郑鹏. 基于BP神经网络的建筑工人不安全行为预警模型[J]. 中国安全科学学报, 2022, 32(1): 27-33. |
SHI J, CHANG D Y, ZHENG P. An early warning model of unsafe behaviors of construction workers based on BP neural network[J]. China Safety Science Journal, 2022, 32(1): 27-33 (in Chinese). | |
10 | 任小华, 种兰祥, 杨建锋. 基于FT_BP神经网络的学业预警模型[J]. 计算机应用研究, 2020, 37(): 83-85, 97. |
REN X H, CHONG L X, YANG J F. Academic early warning model based on FT_BP neural network[J]. Application Research of Computers, 2020, 37(S1): 83-85, 97 (in Chinese). | |
11 | 中国民用航空总局. 循证训练(EBT)实施方法: AC-121-FS-138R1 [S]. 北京:中国民用航空总局, 2023. |
Civil Aviation Administration of China. Implementation method of evidence-based training:AC-121-FS-138R1 [S]. Beijing: Civil Aviation Administration of China, 2023 (in Chinese). | |
12 | 马宝亮. 试飞安全管理体系中的风险管理研究[J]. 中国新技术新产品, 2019(24): 139-140. |
MA B L. Research on risk management in flight test safety management system[J]. New Technology & New Products of China, 2019(24): 139-140 (in Chinese). | |
13 | LYU X T, DING P, LI S Y, et al. Human factors engineering of BCI: An evaluation for satisfaction of BCI based on motor imagery[J]. Cognitive Neurodynamics, 2023, 17(1): 105-118. |
14 | JAFARI ROODBANDI A S, CHOOBINEH A, BARAHMAND N, et al. Research outputs in ergonomics and human factors engineering: A bibliometric and co-word analysis of content and contributions[J]. International Journal of Occupational Safety and Ergonomics: JOSE, 2022, 28(4): 2010-2021. |
15 | 陈浩然, 崔利杰, 任博, 等. 基于STAMP的试飞安全指标体系构建方法[J]. 火力与指挥控制, 2019, 44(2): 54-59. |
CHEN H R, CUI L J, REN B, et al. Research on the construction of aircraft test flight safety index based on STAMP[J]. Fire Control & Command Control, 2019, 44(2): 54-59 (in Chinese). | |
16 | 陈君石, 黄建始. 健康管理师[M]. 北京: 中国协和医科大学出版社, 2007: 347. |
CHEN J S, HUANG J S. Health management specialist[M]. Beijing: Peking Union Medical College Press, 2007: 347 (in Chinese). | |
17 | CHEN B P, CHEN Y, ZENG G Q, et al. Fractional-order convolutional neural networks with population extremal optimization[J]. Neurocomputing, 2022, 477: 36-45. |
18 | SHEIKHI S, KOSTAKOS P. A novel anomaly-based intrusion detection model using PSOGWO-optimized BP neural network and GA-based feature selection[J]. Sensors, 2022, 22(23): 9318. |
19 | SU J Y, CHEN Y, ZHANG D B, et al. Full-parameter identification model based on back propagation algorithm for brushless doubly fed induction generator[J]. IEEE Transactions on Power Electronics, 2020, 35(10): 9953-9958. |
20 | SINGH N, PANDA S P. Heterogeneous computing with graphical processing unit: Improvised back-propagation algorithm for water level prediction[J]. International Journal of Electrical and Computer Engineering (IJECE), 2022, 12(4): 4090. |
21 | ZHANG Q, WANG J J, ZHANG H, et al. Research on quantitative evaluation method of test flight risk based on fuzzy theory[C]∥ International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022). 2023, 12604: 1114-1122. |
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