The correlation coefficient stationary series that is one kind of non-stationary series is familiar in engineering, and the traditional stationary series is just a special case of that.

Experiments results show that this method can predict non-stationary server load series efficiently and has higher prediction accuracy than traditional methods.

Through ARIMA model and standardization, the non stationary vibration series acquired in the field were transformed to stationary time series normally distributed.