TFCluster: An Efficient Algorithm to Mine Maximal Differential Function-resource Biclusters for Single Pilot Operations Safety Analysis

Single Pilot Operations (SPO) is an important direction in the development of modern aviation technology. In SPO mode, there needs to construct air-ground cooperating mode among onboard pilot, ground station and air traffic control, which is accompanied by a deeper level of task synthesis. But the high level of task synthesis also introduces safety issues that cannot be underestimated. In this paper, we propose an efficient differential bicluster mining algorithm: TFCluster, to discover potential hazardous elements or propagation mechanism by mining the real-valued resource-function matrixes for task synthesis safety analysis. In order to mine efficiently, several pruning techniques are designed for generating maximal biclusters without candidate maintenance. Taking the typical operating scenario—flight conflict during cruising phase in SPO mode as an example, we show how to use our proposed algorithm for SPO system safety analysis.