4.7 Article

Features extraction of sensor array based PMFL technology for detection of rail cracks

Journal

MEASUREMENT
Volume 47, Issue -, Pages 613-626

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.measurement.2013.09.047

Keywords

Pulsed magnetic flux leakage; Sensor array; Finite element; Time-domain analysis; Features extraction

Funding

  1. FP7HEMOW
  2. National Science Foundation of China [50907032/E070104]
  3. simulation and realization of integration of electromagnetic NDT methods for online high speed railway inspection
  4. Key project of Technology of Jiangsu [SBE200900338]
  5. Aeronautical Science Foundation of China [2010ZD52]
  6. Ph.D. Programs Foundation of Ministry of Education of China [20093218120019]
  7. Engineering and Physical Sciences Research Council [EP/E005071/1, EP/F023324/1, EP/F06151X/1] Funding Source: researchfish
  8. EPSRC [EP/F023324/1, EP/F06151X/1, EP/E005071/1] Funding Source: UKRI

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Pulsed magnetic flux leakage (PMFL) testing is a new emerging and effective electromagnetic non-destructive testing (NDT) technology which combines the conventional magnetic flux leakage (MFL) technology with the theory of pulsed current. Compared with single sensor, the sensor array can scan larger areas with higher speed and lower lapsus. Finite element method (FEM) is used to get the ideal signal of MFL with defects, including signal horizontal and vertical. According to the analysis of different signal of MFL with defects, the relation between magnetic signal and defect size is received. Then a full set of PMFL system based on sensor array is used to detect the standard specimens. In order to eliminate the noise and extract the feature, the detecting signal is analyzed and processed by some pre-treatments. In the process of time-domain analysis, every peak value of sensor signal is extracted as analyzing signal, then peak values are lined as output signal of the sensor array. By analyzing different characters of curve under different defect sizes, and getting corresponding characteristic quantities, the reasons of the errors are discussed. (C) 2013 Elsevier Ltd. All rights reserved.

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