4.6 Article

DFCluster: An efficient algorithm to mine maximal differential biclusters for single pilot operations task synthesis safety analysis

Journal

CHINESE JOURNAL OF AERONAUTICS
Volume 35, Issue 5, Pages 400-418

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.cja.2021.12.006

Keywords

Differential bicluster; Flight scenario design; Safety analysis; Single pilot operations; Task synthesis

Funding

  1. National Program on Key Basic Research Project [2014CB744903]
  2. National Natural Science Foundation of China [61673270]
  3. Natural Science Foundation of Shanghai [20ZR1427800]
  4. New Young Teachers Launch Program of Shanghai Jiaotong University [20X100040036]
  5. Shanghai Pujiang Program [16PJD028]
  6. Shanghai Industrial Strengthening Project [GYQJ-2017-5-08]
  7. Shanghai Science and Technology Committee Research Project [17DZ1204304]
  8. Shanghai Engineering Research Center of Civil Aircraft Flight Testing

Ask authors/readers for more resources

This paper proposes an efficient differential bicluster mining algorithm to discover safety issues caused by task synthesis. Experimental results show that the algorithm is more efficient than existing algorithms. Based on the mining results, the SPO air-ground collaborative system architecture is modified, which improves the safety of the SPO system.
With the continuous advancement of the avionics system, crew members are correspondingly reduced, and Single Pilot Operations (SPO) has attracted widespread attention from scholars. To meet the flight requirements in SPO mode, it is necessary to further strengthen air-ground coordination system integration, but at the same time, there will be some safety issues caused by resource integration, function fusion, and task synthesis. Aimed at the safety problems caused by task synthesis, an efficient differential bicluster mining algorithm--DFCluster algorithm is proposed in this paper to discover potential hazardous elements or propagation mechanisms through mining the resource-function matrixes. To mine efficiently, several pruning techniques are designed for generating maximal biclusters without candidate maintenance. The experimental results show that the DFCluster algorithm is more efficient than the existing differential biclustering algorithms under different scales of artificial datasets and public datasets. Then, a typical flight scenario is designed based on SPO air-ground collaborative system architecture, and combined with our proposed DFCluster algorithm for task synthesis safety analysis. Based on the mining results, the SPO air ground collaborative system architecture is modified, which ultimately improves the safety of the SPO system.(c) 2021 Chinese Society of Aeronautics and Astronautics. Production and hosting by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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