1 |
LEEW K,KIMS J.Roles of safety management system (SMS) in aircraft development[J].International Journal of Aeronautical and Space Sciences,2015,16(3):451-462.
doi: 10.5139/IJASS.2015.16.3.451
|
2 |
ZHOUD,ZHUANGX,ZUOH F,et al.A model fusion stra- tegy for identifying aircraft risk using CNN and Att-BiLSTM[J].Reliability Engineering & System Safety,2022,228,108750.
|
3 |
WALKERG.Redefining the incidents to learn from: safety science insights acquired on the journey from black boxes to flight data monitoring[J].Safety Science,2017,99,14-22.
doi: 10.1016/j.ssci.2017.05.010
|
4 |
TUEGELE J,INGRAFFEAA R,EASONT G,et al.Reengineering aircraft structural life prediction using a digital twin[J].International Journal of Aerospace Engineering,2011,2021(1):154798.
|
5 |
ZHUS P,HUANGH Z,PENGW,et al.Probabilistic physics of failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty[J].Reliability Engineering & System Safety,2016,146,1-12.
|
6 |
DENGK Y,ZHANGX Y,CHENGY J,et al.A remaining useful life prediction method with long-short term feature processing for aircraft engines[J].Applied Soft Computing,2020,93(2):106344-106357.
|
7 |
GASTERENH V,KRIJGSVELDK L,KLAUKEN,et al.Aeroecology meets aviation safety: early warning systems in Europe and the Middle East prevent collisions between birds and aircraft[J].Ecography,2019,42(5):899-911.
doi: 10.1111/ecog.04125
|
8 |
XUB,WUQ,XIC,et al.Recognition of the fatigue status of pilots using BF-PSO optimized multi-class GP classification with sEMG signals[J].Reliability Engineering & System Safety,2020,199,106930.
|
9 |
ZHANG Y T, CHEN Y Q, CHEN S. Based on aviation safety and flight technology automation early warning research[C]//Proc. of the IEEE International Conference on Sensors, Electronics and Computer Engineering, 2023: 723-728.
|
10 |
ZHANGY J,WANGB T,NINGY,et al.Study on health monitoring and fatigue life prediction of aircraft structures[J].Materials,2022,15(23):8606-8617.
doi: 10.3390/ma15238606
|
11 |
SUNJ Y,LIAOY,LUF,et al.Assessment of pilot fatigue risk on international flights under the prevention and control policy of the Chinese civil aviation industry during the COVID-19[J].Journal of Air Transport Management,2023,112,102466.
doi: 10.1016/j.jairtraman.2023.102466
|
12 |
OSTERC V,STRONGJ S,ZORNC K.Analyzing aviation safety: problems, challenges, opportunities[J].Research in Transportation Economics,2013,43(1):148-164.
doi: 10.1016/j.retrec.2012.12.001
|
13 |
JANICM.An assessment of risk and safety in civil aviation[J].Journal of Air Transport Management,2000,6(1):43-50.
doi: 10.1016/S0969-6997(99)00021-6
|
14 |
STROEVES H,SOMP,VANB A,et al.Strengthening air traffic safety management by moving from outcome-based towards risk-based evaluation of runway incursions[J].Reliability Engineering & System Safety,2016,147(3):93-108.
|
15 |
LIUY,WANGW J,HUANGH Z,et al.A new simulation model for assessing aircraft emergency evacuation considering passenger physical characteristics[J].Reliability Engineering & System Safety,2014,121(8):187-197.
|
16 |
REYM,ALOISED,SOUMISF,et al.A data-driven model for safety risk identification from flight data analysis[J].Transportation Engineering,2021,5,100087.
doi: 10.1016/j.treng.2021.100087
|
17 |
CONNELL L J. Aviation safety incident reporting: NASA's aviation safety reporting system[C]//Proc. of the Transportation Research Board Conference, 2000.
|
18 |
GAOY,HAOY,WANGS,et al.The dynamics between vo-luntary safety reporting and commercial aviation accidents[J].Safety Science,2021,141,105351.
doi: 10.1016/j.ssci.2021.105351
|
19 |
SJOBLOM O. Data mining in promoting aviation safety mana-gement[C]//Proc. of the Safe and Secure Cities: 5th International Conference on Well-Being in the Information Society, 2014: 186-193.
|
20 |
PASSARELLAR,OKTARIANIG,KURNIAWAND,et al.Using the agglomerative hierarchical clustering method to examine human factors in Indonesian aviation accidents[J].International Journal of Advanced Computer Science and Applications,2022,13(9):325-331.
|
21 |
ROSER L,PURANIKT G,MAVRISD N,et al.Application of structural topic modeling to aviation safety data[J].Reliabi-lity Engineering & System Safety,2022,224,108522.
|
22 |
MIYAMOTOA,BENDARKARM V,MAVRISD N.Natural language processing of aviation safety reports to identify inefficient operational patterns[J].Aerospace,2022,9(8):450.
doi: 10.3390/aerospace9080450
|
23 |
DONGT X,YANGQ W,EBADIN,et al.Identifying incident causal factors to improve aviation transportation safety: proposing a deep learning approach[J].Journal of Advanced Transportation,2021,2021(1):5540046.
|
24 |
ALKHAMISI A O, MEHMOOD R. An ensemble machine and deep learning model for risk prediction in aviation systems[C]// Proc. of the 6th Conference on Data Science and Machine Learning Applications, 2020: 54-59.
|
25 |
MAX X,DENGW Y,QIAOW L,et al.A methodology to quantify the risk propagation of hazardous events for ship grounding accidents based on directed CN[J].Reliability Engineering & System Safety,2022,221,108334.
|
26 |
张晗,王强.基于有向网络的航空安全事故风险识别与评估[J].系统工程与电子技术,2024,46(6):1995-2011.
|
|
ZHANGH,WANGQ.Aviation safety accident risk identification and evaluation based on directed networks[J].Systems Engineering and Electronics,2024,46(6):1995-2011.
|
27 |
LVC C,YUANZ W,SIS B,et al.Cascading failure in networks with dynamical behavior against multi-node removal[J].Chaos, Solitons & Fractals,2022,160,112270.
|
28 |
NEWMANM E J.Spread of epidemic disease on networks[J].Physical Review E,2002,66(1):016128.
|
29 |
LIUF,LIX,ZHUG F.Using the contact network model and Metropolis-Hastings sampling to reconstruct the COVID-19 spread on the "Diamond Princess"[J].Science Bulletin,2020,65(15):1297-1305.
|
30 |
CHENM,LIM,HAOY X,et al.The introduction of population migration to SEIAR for COVID-19 epidemic modeling with an efficient intervention strategy[J].Information Fusion,2020,64,252-258.
|