In order to greatly improve the accuracy of aircraft maintenance fault prediction, after sufficient studying on 4 algorithms, which include Fisher discriminant, logistic regression, random forest and support vector machine, using fault maintenance record data of certain type aircraft as basic dataset, and choosing R platform to implement these 4 algorithms. Compare the effect difference of 4 methods in fault prediction. Finally, the results show that support vector machine has the best prediction effect.