Current intelligent optical networks can not actively deal with failure in network.Aimed to improve the survivability of intelligent optical network

this paper proposes a Bayesian model based active fault alarm mechanism in intelligent optical network.The proposed mechanism is able to judge of potential failure in advance with high accuracy and to reduce the false-alarm efficiently.Using different stylebooks and their corresponding algorithms

the fault prediction probability is rational estimated through reasoning

which builds a rational Bayesian model for active fault alarm.Simulation results show that this proposed approach can greatly improve the survivability ability of intelligent optical networks

in terms of connection recovery time and resources utilization rate.