A Method for Detecting Surface Defects in Railhead by Magnetic Flux Leakage

Applied Sciences

Yinliang Jia¹  Kailun Ji¹  Shicheng Zhang¹  Ping Wang¹ 

[1] College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;

关键词: rail defects;    MFL detection;    relative value;    Multi-sensors;    RMS;   

DOI  :  10.3390/app11209489

来源: DOAJ

【 摘 要 】

With the rapid development of the world’s railways, rail is vital to ensure the safety of rail transit. This article focuses on the magnetic flux leakage (MFL) non-destructive detection technology of the surface defects in railhead. A Multi-sensors method is proposed. The main sensor and four auxiliary sensors are arranged in the detection direction. Firstly, the root mean square (RMS) of the x-component of the main sensor signal is calculated. In the data more significant than the threshold, the defects are determined by the relative values of the sensors signal. The optimal distances among these sensors are calculated to the size of a defect and the lift-off. From the finite element simulation and physical experiments, it is shown that this method can effectively suppress vibration interference and improve the detection accuracy of defects.

【 授权许可】

Unknown