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本文探索了用模糊聚类分析方法解决超声无损检测中识别缺陷的可能性。结果表明，用这种模糊数学方法可以识别出钢管标准缺陷的类别。研究中采用了微机数据采集、处理和模糊运算。
This paper explores the possibility of using fuzzy clustering analysis to solve the problem of identifying defects in ultrasonic non-destructive testing. The results show that this kind of fuzzy mathematical method can identify the standard defects of steel pipe categories. The research used computer data acquisition, processing and fuzzy computing.