This paper presents the interval median distribution estimation and exponential uniform distribution estimation,which is based on the original method of estimating the accelerated life test failure time from the conception of symmetry. We examined the characteristics and accuracy of each estimation method by theoretical analysis and Monte Carlo simulation. The results show that the new method has superiority in certain conditions. When the failure rate of the product is increasing,we use the exponential uniform distribution estimation. When the failure rate is decreasing,we use the logarithmic uniform distribution estimation. When the change is unknown,we use the equal interval estimation and interval estimation. These methods have high estimation precision. Therefore,in order to improve the accuracy of parameter estimation,we should choose the estimation method in failure time estimation of accelerated life test depending on products estimating failure types.%在加速寿命试验失效时间估算的原有方法基础上，从概念对称角度出发，提出了区间中位分布估计法和指数均匀分布估计法。通过理论计算分析和蒙特卡洛模拟分析两方面，对比和检验了每种估算方法的特点和准确性。结果表明，提出的方法较原方法在特定条件下具有一定的优越性，当产品的失效率为递增型时采用指数均匀分布估计法、递减型采用对数均匀分布估计法或是变化未知时使用等间隔分布估计法和区间中位分布估计法，所得的失效时间估计精度较高。因此，在对加速寿命试验失效时间进行估算时，应视产品的失效类型选择估算方法，以提高参数估计的准确性。
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