Efficient test strategies are essential for PHM design of analog systems. However, existed strategies fail to match the modern system topology and avoid information redundancy due to various stress, such as sophisticated mechanisms and variable operational conditions. Besides, the time consumption may be raised since independent test operation with sequential strategies. To overcome the above weaknesses, in this paper, we generate a mixture test strategy with our developed approach called heuristic programming (HP). We developed sequential matrix and decision graph to record the relationship between faults and potential tests. Then, the heuristic mechanism of searching is extended to mixture approaches with both sequential testing and parallel testing. Finally, rollout-strategy is introduced to overcome high searching complexity of large-scale systems. The experiments prove that HP and HP-rollout access the strategy with fewer layers and lower cost consumption than those of the state-of-the-art method. Also, both HP and HP-rollout provide more practical strategies than other methods. Additionally, the cost consumption of the strategy based on HP and HP-rollout is improved because of the updating of the test cost and adaptation of mixture OR nodes. Hence, the proposed methods have high efficiency.