Analysis on Wake Vortex Accident Mechanism Based on Bayesian Networks
Chen Fang · Zhongguo anquan kexue xuebao · 2011
For the limitation of fault tree analysis,a fault tree of wake vortex was mapped onto a Bayesian network.By researching,analyzing calculation data,some key accident-causing factors such as the huge density of air traffic,the wrong judgment of space between two aircraft by ATC and the ignoring of the STCA warning,were found out.And then by introducing improved measures into Bayesian networks,the effectiveness of related measures was assessed.The application of Bayesian Network in wake vortex accident analysis has more advantage over fault tree analysis in the aspect of expressing the uncertainty and the identification of the key factors.