方法：运用离散趋势和集中趋势相结合的方法，并通过二维图形中数据点的分布特征对项目的非共识情况进行分析。
Methods: To apply the method of discrete tendency and central tendency, and the data points' distributing characters of two dimensional graph.
各单一选线判据从原始故障数据中提取出各自需要的故障特征量并离散化。
The fault characteristic quantity with each selection method is extracted from the original data and discretized.
研究了用圆弧曲率估算截面数据离散曲率的方法和特征点提取方法，提出了基于曲线拟合的截面特征识别方法。
Other preprocessing methods such as discrete curvature estimation and feature point extraction are also studied, and a section-feature recognition algorithm, based on curve fitting, is proposed.
应用推荐