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The ship seawater cooling system contacts with seawater, so the working environments and conditions are bad, and some parameter prediction methods are greatly influenced by the environment such as wavelet theory, gray theory and so on. In order to realize the state parameters prediction of ship seawater cooling system correctly, ARMA prediction model method of stationary time series is proposed. Then the principle and modeling process of ARMA model is introduced, selecting 6 days’ state parameters of MV “YUKUN” ship seawater cooling system as training sample, and inputting the training sample into the ARMA model, getting the prediction data by MATLAB. Then using the MAPE to verify the prediction model and analyzing the error, the result shows the model has good prediction ability.And the model can effectively response the changes of seawater cooling system’s working state in the period ahead and suggest weather the system is abnormal, and provide effective ways for the early fault diagnosis. Furthermore, the model provides advantages for the stable operation of the ships.