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A Model Optimization Method for Accelerated Degradation Test Data

机译:加速降级测试数据的模型优化方法

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Aiming at the problem of fitting error in accelerated degradation data processing, a model optimization method was proposed. Firstly, the best fitting model was selected according to the minimum Residual Sum of Squares, and pseudo-failure lifetime was calculated for each degradation data group. Secondly, the optimization method of the lifetime distribution model was proposed and the best lifetime distribution was obtained according to the minimum fitting error. Finally, a case example was given, which indicated that the deviation may occurred without the model optimization.
机译:针对加速降解数据处理拟合误差的问题,提出了一种型号优化方法。首先,根据最小的剩余平方和选择最佳拟合模型,针对每个降级数据组计算伪故障寿命。其次,提出了寿命分布模型的优化方法,并根据最小拟合误差获得最佳寿命分布。最后,给出了壳体示例,这表明可以在没有模型优化的情况下发生偏差。

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