Research on prognostics of dynamically tuned gyroscope storage life

The storage life of dynamically tuned gyroscope (DTG) widely used in the field of guidance, navigation and control (GNC) is an important index for its military application. Aiming at this issue, the step-down-stress accelerated life testing (SDS-ALT) is implemented to test the DTG to get statistical and degradation data for its characteristics of long life and high reliability. A three-step analysis method is developed to establish Arrhenius accelerated model by using statistical data. Then, degradation data at higher stress can be converted to those at normal stress by data conversion formula. A new individual-based prognostic algorithm, named the path classification and estimation (PACE) model, which is entirely based on the converted degradation data, has been developed to predict remaining storage life estimation of DTG. Using the degradation data of SDS-ALT, the remaining storage life of DTG is evaluated. The evaluated results show that the model has higher prediction accuracy and smaller variance especially for small sample condition.