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.
基于用户所特有的击键节奏特征，提出了一种判别某一击键序列是否为某特定用户的行为的方案。
Based on characteristic typing style of an arbitrary user, a scheme to distinguish whether a keystroke series is made by a specific user or not is proposed.
基于用户所特有的击键节奏特征，提出了一种判别某一击键序列是否为某特定用户的行为的方案。
Based on characteristic typing style of an arbitrary user, a scheme to distinguish whether a keystroke series is made by a specific user or not is proposed.
应用推荐