There are large volumes of data at rest in spacecraft component tests. However, due to the lack of effective data mining methods, the lifetime of products and quality consistence cannot able to be evaluated effectively. This paper proposes a real-time prediction flow of the accelerated life and an evaluation flow of quality consistence. Moreover, various modeling methods of degradation prediction and envelopment analysis are analyzed. Two case studies are carried out, and the results show that the real-time prediction method can establish a degradation model for spacecraft components by using the real-time performance monitoring information and realize the dynamic prediction of accelerated lifetime; the quality consistence evaluation method can build the successful envelope with the test information of historical products, and effectively determine whether the quality consistency of the test products meets the requirements.