Intelligent aging compensation scheme for oven-controlled crystal oscillators of batch production based on statistical distribution

Abstract

The aging of crystal oscillators is an inherent and irreversible process. There is often thought to be no need for special processing if the aging rate varies within an allowable range and the crystal oscillator works properly. However, the impact of aging can be aggravated over the course of lengthy operation. This paper proposes an intelligent compensation scheme for the aging of batch OCXOs (oven-controlled crystal oscillators) based on a statistical distribution, analyzes the aging data of OCXOs in the same batch, selects the typical samples, acquires the best aging prediction curves after assessing different models, and efficiently compensates for every qualified product for aging using this model. The results of experiments exhibited good compensation effects, with an improvement of one to two orders of magnitude in the aging indicators of the compensated OCXOs compared with the original without compensation.