The maintenance cost and the extended life of the system under any activities-combination, which represents what kind of activities taken for these chosen components, are analyzed for evaluating the unit-cost life of the system. The optimal activities-combination at each PM stage is decided by using genetic algorithm in maximizing the system unit-cost life. Repeatedly, the PM scheduling is progressed to the next stage until the system's unit-cost life is less than its discarded life. Appropriately a mechatronic system is used as an example to demonstrate the proposed algorithm. This paper uses E-Portfolio based on ICT for mechanical components using genetic algorithms and content analysis to study present application situation of E-portfolio in China, and scientifically forecast the trend of the development of E-Portfolio, which is conducive to grasp the research of E-Portfolio and discover some problems existing in the process.