Damage location and numerical simulation for steel wire under torsion based on magnetic memory method

Ma, Xiaoping; Su, Sanqing; Wang, Wei; Yong-ming, Yang; Yi, Shuchun; Zhao, Xuran

doi:10.3233/jae-180075

Cited by 10 publications

(2 citation statements)

References 22 publications

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“…In recent years, interest in this method has increased, as evidenced by the rapidly increasing number of publications on the subject [90][91][92][93]. The physical basis of this method has been successfully used to measure stresses [94,95], as well as for the measurement of discontinuities [96]. In the field of wire rope diagnostics, these sensors are used to determine the condition of ropes [97,98].…”

Section: Passive Magnetic Techniques and Sensors Usedmentioning

confidence: 99%

A Comprehensive Review of Steel Wire Rope Degradation Mechanisms and Recent Damage Detection Methods

Mazurek

2023

Sustainability

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Steel wire ropes are the vital load-bearing element in many rope transport devices, such as mine hoists, personal lifts, bridges and cableways. Non-destructive fault detection is a crucial issue for safety and reliability. This paper presents a comprehensive review covering three areas: damage mechanisms for steel wire ropes, physical phenomena used for diagnostics of steel wire ropes and practical applications of magnetometers. The advantages and disadvantages of each group of sensors, such as the induction coil, Hall element, magnetoresistance and optically pumped magnetometers, are presented. The author indicates the direction of the development of signal analysis techniques. In summary, the challenges and future directions for the development of wire rope flaw detection in practical applications are presented, especially considering the future of passive magnetic methods.

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Section: Passive Magnetic Techniques and Sensors Usedmentioning

confidence: 99%

A Comprehensive Review of Steel Wire Rope Degradation Mechanisms and Recent Damage Detection Methods

Mazurek

2023

Sustainability

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“…However, the failure of wire rope such as becoming broken [3], corrosion [4], and wear and fatigue [5] has caused huge losses to the economy and human lives. Therefore, many nondestructive testing methods [6,7] have appeared in wire rope defect inspection, for instance, the widely used magnetic flux leakage testing method [8], metal magnetic memory, [9] and ultrasonic guided wave detection method [10]. The defect is tinny in most cases, while the detection signals are very weak and mixed with strand signals as a result of the spiral wire rope structures and environmental noises [11,12], which makes the wire rope defect identification and signal processing full of difficulty and challenges.…”

Section: Introductionmentioning

confidence: 99%

Weak Signal Processing Methods Based on Improved HHT and Filtering Techniques for Steel Wire Rope

Liu

Sun

et al. 2022

Applied Sciences

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As one of the most important processes in steel wire rope inspection, defect signal processing is of great significance in guaranteeing safety and precision measurement. Aiming at the weak signal detection of steel wire rope with mixed strands and noise, a combined signal processing method based on magnetic flux leakage testing and multi-step filtering techniques are proposed in this paper. The experiments are first introduced and performed on three typical types of steel wire rope with diameters of 28 mm, 32 mm, 45 mm, and different wire broken defects detected under liftoff distances of 13 mm and 20 mm; the acquired signals are then analyzed both in time and frequency domain. According to the weak signal characterizations, the principle of the proposed methods and algorithm are given concretely. Afterwards, comparison of signal processing results between the traditional lowpass filtering, wavelet denoising, median filtering, and the proposed method are presented. Finally, the influence factors of smoothing types and moving average span of the proposed methods are investigated. The processing results of the proposed methods are shown through short-time Fourier transform and signal-to-noise ratio analysis, which not only demonstrates the validity and feasibility of the combined methods with the highest signal to noise ratio of 90.37 dB, but also exhibits a great potential of precision defect detection and practical application in steel wire rope inspection.

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A Review of Wire Rope Detection Methods, Sensors and Signal Processing Techniques

2020

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Damage location and numerical simulation for steel wire under torsion based on magnetic memory method

Cited by 10 publications

References 22 publications

A Comprehensive Review of Steel Wire Rope Degradation Mechanisms and Recent Damage Detection Methods

A Comprehensive Review of Steel Wire Rope Degradation Mechanisms and Recent Damage Detection Methods

Weak Signal Processing Methods Based on Improved HHT and Filtering Techniques for Steel Wire Rope

A Review of Wire Rope Detection Methods, Sensors and Signal Processing Techniques

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