基于小波包与ICA的无损检测信号分离方法

石跃飞; 南新元

doi:10.13568/j.cnki.651094.651316.2021.02.28.0002

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基于小波包与ICA的无损检测信号分离方法

更新时间：2026-01-21

- 基于小波包与ICA的无损检测信号分离方法
- Journal of Xinjiang University (Natural Science Edition in Chinese and English) Vol. 39, Issue 2, Pages: 236-241(2022)
- 作者机构：
  
  新疆大学电气工程学院
- 作者简介：
- 基金信息：
- DOI：10.13568/j.cnki.651094.651316.2021.02.28.0002
  CLC： TG115.28
- Published：2022
- 稿件说明：
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[1]石跃飞,南新元.基于小波包与ICA的无损检测信号分离方法[J].新疆大学学报(自然科学版)(中英文),2022,39(02):236-241.
[1]石跃飞,南新元.基于小波包与ICA的无损检测信号分离方法[J].新疆大学学报(自然科学版)(中英文),2022,39(02):236-241. DOI： 10.13568/j.cnki.651094.651316.2021.02.28.0002.

DOI：10.13568/j.cnki.651094.651316.2021.02.28.0002.

摘要

无损检测是现役管道检测的重要方法．为了能有效利用无损检测中的电磁超声与脉冲涡流信号，本文基于电磁超声与脉冲涡流信号的特性，利用小波包与ICA结合算法对电磁超声/脉冲涡流复合信号进行了分离，并与VMD、VMDICA和小波包算法分离结果进行了对比．结果表明：在电磁超声/脉冲涡流复合信号的分离中，小波包与ICA结合算法的分离效果更好，验证了所提算法对复合信号分离的有效性．

Abstract

Nondestructive testing is an important method of pipeline testing in service. In order to use electromagnetic ultrasound and pulsed eddy current signals effectively in nondestructive testing

based on the characteristics of electromagnetic ultrasound and pulsed eddy current signals

this paper uses wavelet packet and ICA combined algorithm to separate the electromagnetic acoustic transducer/pulseeddy current testing composite signals

and compared with the separation results of VMD

VMD-ICA and wavelet packet algorithms. The results show that the combination of wavelet packet and ICA has a better separation effect in the separation of electromagnetic acoustic transducer/pulse eddy current testing composite signals

which proves the effectiveness of the proposed algorithm in separating composite signals.

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references

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