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Gas turbine is an important part of the ship’s power system. In order to protect the ship's safe navigation and perform tasks, we should monitoring and predict the state of the gas turbine. This paper studies several commonly used predictive algorithms, test and verify them and analyzes the advantages and disadvantages of these predictive algorithms. In order to predict with greater accuracy, we use a combination of preferred and virtual predictable algorithm, which are used to predict the state of gas turbine. The paper verifies the operability and correctness of the combination of preferred and virtual predict by the Gas turbine’s date prediction. It also shows the superiority of the preferred and virtual predictable algorithm compared to the direct prediction. 