通过时间序列分析建立反映切削状态的数学模型，从动态数据中凝聚信息，构成用于判别的特征向量。
By time series analysis, we build models depicting the cutting tool states, coacervate information from dynamic date and construct feature vectors for discrimination.
研究结果：利用不可修复可靠性串联模型与休哈特控制图建立预警控制界限，建立时间序列回归判别模型。
The forewarning control limits and time series regression judgment model are built up based on the reliability series model in a non-repairable system and Shewhart control charts.
经岩石化学特征、微量、稀土元素地球化学特征研究以及岩体成因类型图解判别，获得五个序列岩体均为S型花岗岩的认识；
According to the analyse of petrochemistry, microelement, lanthanon and cause of formation type of rock body, sum up the all sequences are S-type granitoid .
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