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.
抽象数据类型的命名约定(动态)：数组、向量，序列，列表，容器，缓冲区。
Abstract data types naming convention: (Dynamic) Array, Vector, Sequence, List, Container, Buffer.
卡尔曼滤波方法已广泛应用于动态测量数据的处理，其单位权方差通常按新息向量和观测值的残差向量进行计算，增加了观测值残差向量的计算。
Kalman filtering method is widely used in data adjustment of dynamic surveying system, whose unit variance is usually computed with innovation vector of parameters and residual vector of observations.
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