title: Quantitative Inspection of Remanence of Broken Wire Rope Based on Compressed Sensing.
abstract: Most traditional strong magnetic inspection equipment has disadvantages such as big excitation devices, high weight, low detection precision, and inconvenient operation. This paper presents the design of a giant magneto-resistance (GMR) sensor array collection system. The remanence signal is collected to acquire two-dimensional magnetic flux leakage (MFL) data on the surface of wire ropes. Through the use of compressed sensing wavelet filtering (CSWF), the image expression of wire ropes MFL on the surface was obtained. Then this was taken as the input of the designed back propagation (BP) neural network to extract three kinds of MFL image geometry features and seven invariant moments of defect images. Good results were obtained. The experimental results show that nondestructive inspection through the use of remanence has higher accuracy and reliability compared with traditional inspection devices, along with smaller volume, lighter weight and higher precision.
authors: College of Electrical Engineering, Henan University of Science and Technology, Luoyang 471023, China. juweizhang@haust.edu.cn.|Power Electronics Device and System Engineering Laboratory of Henan, Henan University of Science and Technology, Luoyang 471023, China. juweizhang@haust.edu.cn.
authors: Juwei
authors: J
authors: Zhang
authors: College of Electrical Engineering, Henan University of Science and Technology, Luoyang 471023, China. xiaojiang_tan@163.com.|Power Electronics Device and System Engineering Laboratory of Henan, Henan University of Science and Technology, Luoyang 471023, China. xiaojiang_tan@163.com.
authors: Xiaojiang
authors: X
authors: Tan
keywords: compressed sensing; quantitative recognition; remanence inspection; wavelet filter; wire rope