Aimed to implement effective maintenance to ensure that the highway electromechanical system performs its intended functions, the output results of the fore-warning system are considered as the basis of maintenance policy. The fore-warning system is built based on the study of the fault features and causes of highway electromechanical system. As a failure warning information platform, the fore-warning system of highway electromechanical system analyzes fault factors and the relationship associated, in order to perform timely appropriate preventive maintenance measures at the right time. Taking advantage of Fault Tree Analysis, failure rates or failure probabilities of individual basic events existing in the complex system are estimated, which would be synthesized to determine whether the system failure rate reaches the threshold.


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