I. Introduction
In order to ensure the reliable and safe operation of the electronic equipment in the special working environments, it is necessary to monitor working status and reliability of equipment in real time. Prognostics and health management (PHM) technique is collecting all kinds information of the system with sensors, using different algorithm to estimate conditions of the system, real-time monitoring and predicting the failure or malfunction trend, and to combine with various resources to provide maintenance support measures. Recently, PHM is receiving more and more attention. And the health statuses of key components, modules and equipment of the underlying system directly affect the performance of the whole system, therefore, diagnosing and prognosticating failures of the key modules of the underlying system, especially the large scale integrated circuit that is the core circuit function, is the crux of implement that based on the state of equipment maintenance technology.