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For reliability analysis of hydraulic system, it is important to achieve the fatigue characteristic (SN curve) for hydraulic component. However, it needs to improve the testing pressure level number and test samples to improve the testing accuracy. However, there is little research about to optimize the energy consumption while efficiently ensuring the testing accuracy. Moreover, uncertainty does exit for the testing accuracy estimation because of small sample size for hydraulic system. Therefore, a scenario analysis-based framework is proposed to optimize both the energy consumption and test accuracy by stochastic multi-objective programming. The case study shows the efficiency of the proposed method.

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