摘要
采用替换、平滑、反差等方法改善缺陷的漏磁信号 ,并把漏磁信号转变成云图 ,由人定性识别出缺陷的位置 ;通过对管道漏磁信号的分析 ,选取了缺陷漏磁场的特征量 ,采用非线性方法实现缺陷的定量分析。试验证明 。
The paper present the methods of improving the signals of magnetic flux leakage for the pipes by means of replacing, smoothing and contrasting. The signals were transfered into the images and the places of the defects were confirmed by persons. The features were selected through analysing the signals of magnetic flux leakage. A nonlinear method was applied to complete quantitative recognition to defects. The experimental results show that the man-computer working method improves efficiency and precision.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2004年第6期488-490,共3页
China Mechanical Engineering
基金
天津市自然科学基金资助项目 (993 80 2 411)
关键词
管道
信号分析
人机合作
定量识别
特征量
pipe
signal analysis
image processing
quantitative recognition
feature
