基于小波分析的油气管道缺陷磁记忆检测研究  

Study on Defect Detect of Oil and Gas Pipeline by Metal Magnetic Memory Testing Technology Based on Wavelet Analysis

作　　者：刘书俊[1] 李著信[1] 龚利红[1,2] 郭联欢[1] 

机构地区：[1]后勤工程学院,重庆401311 [2]重庆通信学院,重庆400035

出　　处：《机床与液压》2011年第21期54-56,共3页Machine Tool & Hydraulics

基　　金：解放军总后勤部资助项目(油20040207)

摘　　要：金属磁记忆检测技术是目前唯一能对铁磁性构件早期损伤进行诊断的无损检测手段,能检测识别油气管道早期损伤以及以应力集中为特征的裂纹缺陷。小波分析由于具有良好的时频局部性,能很好地克服傅里叶变换的不足,得到广泛的应用。针对目前金属磁记忆检测技术以过零点作为缺陷判定准则存在的不足,利用小波尺度谱和再分配的尺度谱对磁记忆信号进行分析。试验结果表明,小波再分配尺度谱能有效应用于管道缺陷的磁记忆检测之中。Metal magnetic memory testing （MMMT） technology is the only feasible NDT method in the aspect of early diagnosis till now, which can detect and recognize the early damnification and oil and gas pipeline crack in the character of stress concentration. Wavelet is widely applied for it has good time-frequency location character and can get over the deficiency of Fourier transform. Aiming at the deficiency of using MMMT to recognize pipeline defect, the reassigned wavelet scalogram analysis method was put forward to analyze the MMMT signal. The experimental result proves that the reassigned wavelet scalogram is effective in pipeline defect recognition by MMMT.

关 键 词：金属磁记忆检测 小波再分配尺度谱 小波包 降噪 缺陷识别 

分 类 号：TG115.28[金属学及工艺—物理冶金]