基于K均值聚类的海洋平台T型管节点损伤声发射信号的模式识别
Pattern Recognition of AE Signals of Offshore Platform T-tube Damage Based on K-means Clustering
摘 要
对海洋石油平台T型管节点损伤进行了声发射监测,并对损伤检测过程的声发射信号进行K均值聚类分析,以声发射参量的相关性为依据选取损伤特征参数,实现了对T型管节点不同损伤阶段信号的有效识别,为T型管节点的损伤监测和不同损伤阶段的模式识别提供了依据.
声发射
K均值聚类
模式识别
T-tube
Acoustic emission
K-means clustering
Pattern recognition
Abstract
An experiment was performed on the offshore platform T-tube node for the purpose of understanding its damage mechanism.Characteristics of acoustic emission signal of the offshore platform T-tube node at different damage stages were obtained by using the K-means clustering analysis.The damage characteristic parameters of the acoustic emission signal were first selected based on the correlation analysis.The proposed method could thus effectively realize the recognition of T-type pipe node at different damage stages.The study should provide reference for damage monitoring of T-type pipe node and the identification of its different damage stages.
中图分类号 RG115.28 DOI 10.11973/wsjc201508012
所属栏目 试验研究
基金项目 国家科技支撑计划资助项目(2012BAH28F03)
收稿日期 2015/6/25
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备注蒋鹏(1981-),男,讲师,博士,主要从事材料特性研究.
引用该论文: JIANG Peng,ZHANG Lu-ying,LI Ying-nian,LI Wei. Pattern Recognition of AE Signals of Offshore Platform T-tube Damage Based on K-means Clustering[J]. Nondestructive Testing, 2015, 37(8): 48～50
蒋鹏,张璐莹,李英年,李伟. 基于K均值聚类的海洋平台T型管节点损伤声发射信号的模式识别[J]. 无损检测, 2015, 37(8): 48～50
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参考文献
【1】戴光.声发射检测技术在中国——庆祝中国机械工程学会无损检测分会成立三十周年[J].无损检测,2008,30(7):389-394.
【2】周世兵,徐振源,唐旭清.新的K-均值算法最佳聚类数确定方法[J].计算机工程与应用,2010,46(16):27-31.
【3】李晶皎,王爱侠,王娇,等.模式识别[M].北京:电子工业出版社,2010:431-432.
【4】POLLOCK A A.Acoustic emission inspection.ASM handbook,Vol 17.Nondestructive evaluation and quality control [M].Materials Park,USA:ASM International,1989:278-294.
【2】周世兵,徐振源,唐旭清.新的K-均值算法最佳聚类数确定方法[J].计算机工程与应用,2010,46(16):27-31.
【3】李晶皎,王爱侠,王娇,等.模式识别[M].北京:电子工业出版社,2010:431-432.
【4】POLLOCK A A.Acoustic emission inspection.ASM handbook,Vol 17.Nondestructive evaluation and quality control [M].Materials Park,USA:ASM International,1989:278-294.
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