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基于脉冲漏磁检测原理的缺陷分类识别技术

张韬 左宪章 田贵云 张云 费俊骉

西安石油大学学报(自然科学版)2012,Vol.27Issue(2):80-85,6.
西安石油大学学报(自然科学版)2012,Vol.27Issue(2):80-85,6.

基于脉冲漏磁检测原理的缺陷分类识别技术

张韬 1左宪章 1田贵云 2张云 1费俊骉1

作者信息

  • 1. 军械工程学院电气工程系,河北石家庄050003
  • 2. 纽卡斯尔大学电气电子与计算机工程学院,纽卡斯尔NEI 7RU英国
  • 折叠

摘要

Abstract

Pulsed magnetic flux leakage ( PMFL) testing is an emerging and effective electromagnetic non-destructive testing technique , and the defect classification is a key step to defect detection and evaluation. A new PMFL sensor was designed based on the principle of pulsed magnetic flux leakage testing,and the different types of the defects of standard samples were detected. The peak values, zero-crossing time and the amplitude at some frequency in frequency spectrum were selected as characteristic parameters for the classification recognition of defects through the characteristic analysis of the transient differential signals in time domain and frequency domain. Experiment results show that the proposed defect classification recognition method based on pulsed magnetic flux leakage testing is effective to different types of the surface defects in steel plate specimen of 10 mm thickness.

关键词

脉冲漏磁检测/缺陷分类识别/频谱分析/传感器

Key words

PMFL testing/ classification recognition of defect/ frequency spectrum analysis/ sensor

分类

信息技术与安全科学

引用本文复制引用

张韬,左宪章,田贵云,张云,费俊骉..基于脉冲漏磁检测原理的缺陷分类识别技术[J].西安石油大学学报(自然科学版),2012,27(2):80-85,6.

基金项目

河北省自然科学基金(编号:E2008001258) (编号:E2008001258)

西安石油大学学报(自然科学版)

OA北大核心CSTPCD

1673-064X

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