一种适用于高温管道缺陷检测的频率-波数域成像方法
By constructing a time-scale scaling factor and a frequency-related amplitude compensation factor in high-temperature pipeline inspection, and combining them with Stolt interpolation, the problems of imaging accuracy and positioning deviation of existing frequency-wavenumber domain imaging methods under high-temperature conditions are solved, and efficient high-temperature pipeline defect detection is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHONGBEI UNIV
- Filing Date
- 2026-06-18
- Publication Date
- 2026-07-17
AI Technical Summary
Existing frequency-wavenumber domain imaging methods are not effectively applicable to the detection of defects in high-temperature pipelines, resulting in low imaging accuracy, large positioning deviations, and increased artifacts, which cannot meet the detection requirements in high-temperature environments.
By acquiring signals at room temperature and target temperature, constructing time-scale scaling factors and frequency-related amplitude compensation factors, and combining Stolt interpolation, performing time-scale pre-correction and frequency domain transformation, reconstructing two-dimensional wavenumber domain signals, and finally normalizing and displaying the imaging results.
It significantly improves imaging accuracy and positioning accuracy under high temperature conditions, reduces computational complexity, and improves imaging position error and focusing state.
Smart Images
Figure CN122409856A_ABST