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Copyright © 2023 Miao Wang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/

Abstract

The International Civil Aviation Organization (ICAO) has mapped out Single-Pilot Operations (SPO) as the core development direction for the next generation of commercial aircraft operations in 2030. Safety is a key airworthiness factor in commercial aircraft design. Due to the higher degree of air-ground task collaboration and complexity in the SPO mode, the traditional safety analysis methods applied in two-pilot mode cannot effectively identify the potential hazard patterns in the system. To address the above problems, a safety analysis method that combines model-based safety analysis (MBSA) with hazard pattern mining is introduced, and a differential bicluster mining algorithm named TFCluster is proposed to identify maximum differential biclusters from real-valued function-resource matrices without candidate maintenance. Experiment studies on public datasets indicate that TFCluster is efficient and scalable, and outperform the existing differential bicluster algorithms. Taking the typical operating scenario—midterm conflict resolution in the SPO mode as an example—safety analysis of air-ground task collaboration for flight conflict in the SPO air-ground collaborative architecture is carried out. It is found that the proposed method can effectively identify potential hazard patterns, feedback to the system architecture design, and assist safety analysis.

Details

Title
Air-Ground Task Collaboration Safety Analysis Based on Real-Valued Differential Biclustering for Midterm Conflict in Single-Pilot Operations of Commercial Aircraft
Author
Wang, Miao 1   VIAFID ORCID Logo  ; Luo, Yue 1   VIAFID ORCID Logo  ; Chen, Yong 2   VIAFID ORCID Logo  ; Zhong, Kelin 3   VIAFID ORCID Logo  ; Wang, Guoqing 1   VIAFID ORCID Logo 

 School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China 
 School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China; Commercial Aircraft Corporation of China, Ltd., Shanghai 200436, China 
 China COMAC Shanghai Aircraft Design and Research Institute, Shanghai 201210, China 
Editor
Jinchao Chen
Publication year
2023
Publication date
2023
Publisher
John Wiley & Sons, Inc.
ISSN
16875966
e-ISSN
16875974
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2822121823
Copyright
Copyright © 2023 Miao Wang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/