Optimization and verification of single pilot operations model for commercial aircraft based on biclustering method
作者机构:School of Aeronautics and AstronauticsShanghai Jiao Tong UniversityShanghai 200240China School of Computer ScienceShaanxi Normal UniversityShaanxi 710062China
出 版 物:《Chinese Journal of Aeronautics》 (中国航空学报(英文版))
年 卷 期:2023年第36卷第5期
页 面:286-305页
核心收录:
学科分类:082601[工学-武器系统与运用工程] 08[工学] 0826[工学-兵器科学与技术]
基 金:sponsored by the Natural Science Foundation of Shanghai(No.20ZR1427800) the New Young Teachers Launch Program of Shanghai Jiaotong University,China(No.20X100040036) the National Natural Science Foundation of China(No.61971273) the Development Program in Shaanxi Province of China(No.2021GY-032)
主 题:Commercial aircraft Differential bicluster Dual-pilot operations Single pilot operations System modelling
摘 要:Commercial aircraft crews have experienced a trend from five-person crew to dual-pilot *** from both technological and market demands,Single Pilot Operations(SPO)is considered an important development direction in modern aviation *** this paper,starting from Dual-Pilot Operations(DPO),the piloting process,decision-making process and decisionmaking mode of DPO for commercial aircraft are studied to obtain the operational requirements of ***,based on above analysis,the operational mechanism of SPO is studied and the core technology of SPO mode is ***,a new closed frequent bicluster mining algorithm named FsCluster is proposed for the optimization of the SPO model,and the other efficient bicluster mining algorithm named TsCluster is proposed for the analysis and verification of the SPO ***,a typical flight phase scenario is modelled by Magic System of System,and combined with the proposed algorithms for analysis and verification to determine whether the SPO mode can meet the DPO requirements.