Abstract: Aiming at the problem that the life of accelerometers is difficult to evaluate after long-term storage, an evaluation method that comprehensively uses accelerated test data and natural storage test data was proposed. The minimum Chi-square estimation and goodness-of-fit test was used, the accelerometer's natural storage data was processed to obtain the four life distribution functions that it may obey, and the accelerometer life distribution was determined as Weibull distribution and type Ⅰ maximum distribution; With reference to the a priori information of the accelerometer, a step-by-step acceleration life test of the accelerometer is designed and carried out to obtain acceleration failure data of the accelerometer; under the assumptions of Weibull distribution and type Ⅰ maximum value distribution, the parameters of the accelerometer life distribution model are estimated based on accelerated failure data, and the method of acceleration factor variation coefficient is used to select the type Ⅰ maximum value distribution as the life distribution function of the accelerometer. The lifespan of reliability 0.90 and 0.95 under conventional stress level is 14.917 6 a and 10.052 4 a, respectively. By comparing the failure rate of accelerometers in the standard storage environment and the life distribution model, the effectiveness of using two test data to evaluate the lifespan of the accelerometer is verified. Key

Key words: accelerometer, accelerationfactorcoefficientofvariation, storagelife, acceleratedtest, naturalstoragetest