To treat with accumulative damage brought by environmental stress, a prognostic framework and a prediction method for electronic equipments are proposed, which cover the whole life cycle of the electronic equipments. The conception of prognostic capability is put forward for the first time. The design for prognostic ability is carried out by adopting auxiliary software eXpress at the design phrase of equipment. With the working data of equipment in practical environment, three improved neural networks are studied to predict the developing trend of characteristic parameters. By fusing single prediction methods with multi-rules, one combined fault prediction method based on information entropy theory is proposed to enhance the reliability of prediction results. The application of prognostic framework to one type of electronic equipment has verified the feasibility of the framework. And the prediction results show that the combined prediction method is stronger than single prediction methods in robust ability and stability.