Some statistical test methods on "fat tail" distribution of time series are obtained by using properties of extreme value theory and extreme index estimator under large sample.
使用极值理论和极值指数估计量的性质，在大样本的情况下得到序列分布“肥尾”现象的检验方法。
First, the time-drift of sensor's characteristic and its change law with temperature are obtained by the accelerated test, then the sample set is established.
首先，通过加速试验获得了传感器特性的时漂以及受温度影响的变化规律，并据此构建了样本集。
Meanwhile, the dynamic surfaces of the sample are obtained by means of micro cracks observed changes in real-time.
同时，采用动态显微观测手段获得试样表面裂纹变化的实时图像。
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