Identification and clustering of similar acoustic emission (AE) events are important to determine source locations precisely and to evaluate subsurface cracks. An AE cluster analysis method using phase-only correlation (POC) is proposed to identify and hierarchically classify similar AE waveforms. The POC of time-varying spectral representations is used to evaluate the similarity between two waveform images in the time–frequency domain, and cluster analysis is used to classify the waveforms into groups according to a distance measure. The method is applied to waveforms from local earthquakes in Japan to assess its ability to identify similar waveforms perturbed by white noise.

相似声发射（AE）事件的识别和聚类对于精确确定声源位置和评估地下裂缝非常重要。提出了一种使用仅相位相关（POC）的AE聚类分析方法来识别和分级相似的AE波形。时变频谱表示的POC用于评估时频域中两个波形图像之间的相似性，聚类分析用于根据距离度量将波形分为几类。该方法应用于日本当地地震的波形，以评估其识别受白噪声干扰的相似波形的能力。