Fast Estimation of Defect Profiles from the Magnetic Flux Leakage Signal Based on a Multi-Power Affine Projection Algorithm

Sensors

Wenhua Han¹  Xiaohui Shen¹  Jun Xu¹  Ping Wang²  Guiyun Tian³ 

[1] College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China; E-Mails:;College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; E-Mail:;School of Electrical and Electronic Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK; E-Mail:

关键词: nondestructive testing;    magnetic flux leakage;    affine projection;    system identification;   

DOI  :  10.3390/s140916454

来源: mdpi

【 摘 要 】

Magnetic flux leakage (MFL) inspection is one of the most important and sensitive nondestructive testing approaches. For online MFL inspection of a long-range railway track or oil pipeline, a fast and effective defect profile estimating method based on a multi-power affine projection algorithm (MAPA) is proposed, where the depth of a sampling point is related with not only the MFL signals before it, but also the ones after it, and all of the sampling points related to one point appear as serials or multi-power. Defect profile estimation has two steps: regulating a weight vector in an MAPA filter and estimating a defect profile with the MAPA filter. Both simulation and experimental data are used to test the performance of the proposed method. The results demonstrate that the proposed method exhibits high speed while maintaining the estimated profiles clearly close to the desired ones in a noisy environment, thereby meeting the demand of accurate online inspection.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.