In order to study the availability of a certaintype of gyroscope during long storage period

it needs prediction and assessment on gyro storage life to determine its life and storage reliability.Thermal stress test on resonant gyroscope is carried out to record its performance parameters degradation datas.Taking advantages of least square support vector machine（LS-SVM） for fitting the gyroscope’s life model.Through training on the degradation data regresses of the gyroscope’s life model and using parameters at room temperature as inputs that obtains the gyro corresponding reliability of this parameter.The reliability corresponding time is gyro’s life under normal storage conditions.According to the above method

under the conditions of 20 ℃

the storage MTBF of the gyroscope is predicted equal to 5.4 × 104 h

the results is compared with LS estimation and the feasibility of gyro life prediction using LS-SVM is proved.