基于K均值聚类对Q345R钢低温拉伸的声发射信号分析

详细信息

Analysis on Acoustic Emission Signals of Q345R Steel Low Temperature Tensile Process Based on K-means Clustering

摘要: 应用K均值聚类分析方法分割Q345R钢的低温拉伸声发射信号，以区分开塑性变形信号和噪声信号。通过关联分析和波形分析，得出低温对声发射信号的影响，以及塑性变形及脆性断裂信号的主要分布频率，为低温压力容器声发射检测提供试验基础。
- 声发射 /
- K均值聚类 /
- 低温 /
- 拉伸
Abstract: Plastic deformation acoustic emission signals and noise signals during low temperature tensile process were separated based on K-means clustering. Judging from association analysis and waveform analysis, the influence of low temperature on the acoustic emission signals was obtained and the main frequency distribution of plastic deformation and brittle fracture were concluded, providing experiment basis for the low temperature pressure vessels acoustic emission testing.
- Acoustic emission /
- K-means clustering /
- Low temperature /
- Tensile process

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