The invention discloses a method and a
system for track traffic failure recognition based on improved
Bayesian algorithm. The method comprises the following steps of: 1) determining various failure
modes and corresponding monitoring values of each traffic device according to circuit structure of the traffic device, and building a failure model aiming at each failure mode and corresponding monitoring value; 2) recognizing a parent child relation among the
monitoring data according to the failure model, thus obtaining a standard failure sample data; 3) training with the standard failure sample data through a
Bayesian algorithm to obtain a failure recognition model, wherein weight of a parent node in the failure recognition model of each failure mode is greater than that of a child node; 4) monitoring and acquiring various monitoring values of the traffic device in real time, and recording
time sequence of the monitoring values; 5) recognizing data through the failure recognition model, and determining corresponding failure. By the method and the
system, accuracy of failure recognition is improved, failure
repair time is reduced, the device can perform failure self-diagnosis, and traffic safety is guaranteed in the operation and maintenance aspect and the device aspect.