A novel TMR-based MFL sensor for steel wire rope inspection using the orthogonal test method

Wu, Bin; Wang, Y J; Liu, X C; He, Cunfu

doi:10.1088/0964-1726/24/7/075007

Cited by 74 publications

(37 citation statements)

References 17 publications

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“…The advantage is that the probe can be easily deployed for different diameters. Wu et al [23] inspected a similar application using TMR sensors instead of GMR sensors.…”

Section: Mfl Testing Using Gmr Sensor Arrays "High" Magnetic Field Exmentioning

confidence: 99%

Benefits of GMR sensors for high spatial resolution NDT applications

Pelkner¹,

Stegemann²,

Sonntag³

et al. 2018

AIP Conference Proceedings

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“…The advantage is that the probe can be easily deployed for different diameters. Wu et al [23] inspected a similar application using TMR sensors instead of GMR sensors.…”

Section: Mfl Testing Using Gmr Sensor Arrays "High" Magnetic Field Exmentioning

confidence: 99%

Benefits of GMR sensors for high spatial resolution NDT applications

Pelkner¹,

Stegemann²,

Sonntag³

et al. 2018

AIP Conference Proceedings

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“…The OED method has been used in parameter optimizations in magnetic measurements. For example, Wu et al [23] applied the OED method to multi-parameters optimization in magnetic flux leakage testing. The parameters include thickness, height and shielding layer of the excitation coil.…”

Section: Introductionmentioning

confidence: 99%

Application of Uniform Experimental Design in Optimizing Excitation Parameters for Magnetic Frequency Mixing Measurements

Chang

Jiao

Liu

et al. 2020

Chin. J. Mech. Eng.

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Excitation parameter preferences are key factors affecting the performance of magnetic frequency mixing detection. A uniform experimental design method was used to analyze this influence. Using fuzzy theory, a comprehensive model is established for evaluating the effect of magnetic frequency mixing. A polynomial is selected as the regression function to express explicitly the correlation between the excitation parameters and the frequency-mixing effect. The excitation parameters were then optimized using genetic algorithm. Magnetic frequency mixing experiments were conducted to measure the surface hardness of some ferromagnetic materials. Frequency mixing is further enhanced under the optimal settings, resulting in an improvement in the measurement sensitivity. The results of this study support the application of the magnetic frequency mixing technique in non-destructive testing. , respectively. He is currently a professor at Beijing University of Technology. His main research interests include mechanical testing theory method and technology, ultrasonic nondestructive testing technology, and sensor technology. Bin Wu received his BS, MS and PhD degree in 1984, 1990 and 1996 from Tianjin University, Beijing University of Aeronautics and Astronautics and Taiyuan University of Technology, respectively. He is currently a professor at Beijing University of Technology. His main research interests include experimental solid mechanics, modern measurement and control technology, nondestructive testing of new technology, and new sensor technology.

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“…In the MFL detection method, the magnetization method of the wire rope includes coil magnetization [2,3] and permanent magnet magnetization [4,5]. Sun et al [2] proposed an opening electric magnetizer based on the magnetic control for a C-like electric loop-coil.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Nondestructive Testing of Wire Rope Using Image Super‐Resolution Method and AdaBoost Classifier

Zhang

2019

Shock and Vibration

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Magnetic flux leakage (MFL) detection is commonly employed to detect wire rope defects. However, nondestructive testing (NDT) of a wire rope still has problems. A wire rope nondestructive testing device based on a double detection board is designed to solve the problems of large volume, complex operations, and limited circumferential resolution due to sensor size in traditional devices. e device adopts two magnetic sensor arrays to form the double detection board and collects the MFL data of the magnetized wire rope. ese sensors on the double detection board are staggered and evenly arranged on the circumference of the wire rope. A super-resolution algorithm based on interpolation uses non-subsampled shearlet transform (NSST) combining principal component analysis (PCA) and Gaussian fuzzy logic (GFL) and fuses the data of double detection board to improve the resolution and quality of defect images. Image quality measurement and comparison experiments are designed to verify that defect images are effectively enhanced. An AdaBoost classifier is designed to classify defects by texture features and invariant moments of defect images. e experimental results show that the detection device not only improves the circumferential resolution, but also the operation is simple; the resolution and quality of the defect images are improved by the proposed super-resolution algorithm, and defects are identified by using the AdaBoost classifier.

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A novel TMR-based MFL sensor for steel wire rope inspection using the orthogonal test method

Cited by 74 publications

References 17 publications

Benefits of GMR sensors for high spatial resolution NDT applications

Benefits of GMR sensors for high spatial resolution NDT applications

Application of Uniform Experimental Design in Optimizing Excitation Parameters for Magnetic Frequency Mixing Measurements

Quantitative Nondestructive Testing of Wire Rope Using Image Super‐Resolution Method and AdaBoost Classifier

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