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Civil aircraft landing gear system is a typical complex system with frequent fault occurrence. Practical fault diagnosis mainly relies on Trouble-Shooting Manual and engineering experience, there exists large uncertainty. Bayesian network is a directed acyclic graph which can express the casual correlation between variables. It makes full use of experts’ knowledge and test information for probabilistic inference, which is suitable to address uncertainty problems. A diagnostic framework of the landing gear system is established based on Bayesian network. The diagnostic method considering experts’ knowledge and maintenance experience is presented as well as the network inference procedure. The proposed method can improve the diagnostic efficiency and accuracy.