Nondestructive Testing of Wire Ropes Based on Image Fusion of Leakage Flux and Visible Light

Zhang, Juwei; Wang, Shilei

doi:10.1007/s11668-019-00634-w

Cited by 12 publications

(3 citation statements)

References 10 publications

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“…Visual testing is undoubtedly one of the non-destructive methods of wire rope diagnostics [61]. Unfortunately, visual inspection is often insufficient to visualize all defects [62].…”

Section: Visual Inspection/thermal Imagingmentioning

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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“…Visual testing is undoubtedly one of the non-destructive methods of wire rope diagnostics [61]. Unfortunately, visual inspection is often insufficient to visualize all defects [62].…”

Section: Visual Inspection/thermal Imagingmentioning

confidence: 99%

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

Mazurek

2023

Sustainability

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“…Table 2 presents information on the material, defect and source details of the aforementioned studies. There are more studies available in the papers [46,[51][52][53] that used these basic rules in a complementary manner. However, the details provided in the papers are limited.…”

Section: General Algebraic Approachesmentioning

confidence: 99%

A State-of-the-Art Review of Non-Destructive Testing Image Fusion and Critical Insights on the Inspection of Aerospace Composites towards Sustainable Maintenance Repair Operations

2023

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Non-destructive testing (NDT) of aerospace structures has gained significant interest, given its non-destructive and economic inspection nature enabling future sustainable aerospace maintenance repair operations (MROs). NDT has been applied to many different domains, and there is a number of such methods having their individual sensor technology characteristics, working principles, pros and cons. Increasingly, NDT approaches have been investigated alongside the use of data fusion with the aim of combining sensing information for improved inspection performance and more informative structural health condition outcomes for the relevant structure. Within this context, image fusion has been a particular focus. This review paper aims to provide a comprehensive survey of the recent progress and development trends in NDT-based image fusion. A particular aspect included in this work is providing critical insights on the reliable inspection of aerospace composites, given the weight-saving potential and superior mechanical properties of composites for use in aerospace structures and support for airworthiness. As the integration of NDT approaches for composite materials is rather limited in the current literature, some examples from non-composite materials are also presented as a means of providing insights into the fusion potential.

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“…Juwei, Z et al [13] built a magnetic memory detection platform for wire rope Entropy 2024, 26, 531 2 of 15 under weak magnetic field excitation, obtained the fused magnetic memory signals, and at the same time, the defective image was subjected to feature extraction, and the wire rope damage was identified by the GWO-SVM algorithm. Not only that, Juwei, Z. et al [14] used principal component analysis to reduce the dimensionality of the magnetic leakage features of the wire rope and input the extracted features into a back propagation network for quantitative identification. Qiang, Y. et al [15] used the HOG algorithm to extract the wire rope damage features and used a combination of BP neural networks and support vector machines for quantitative identification of wire rope wire-break damage.…”

Section: Introductionmentioning

confidence: 99%

Research on Internal Damage Identification of Wire Rope Based on Improved VGG Network

Li,

Tian

2024

Entropy

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In order to solve the problem of great difficulty in detecting the internal damage of wire rope, this paper proposes a method to improve the VGG model to identify the internal damage of wire rope. The short-time Fourier transform method is used to transform the wire rope damage signal into a time-frequency spectrogram as the model input, and then the traditional VGG model is improved from three aspects: firstly, the attention mechanism module is introduced to increase the effective feature weights, which effectively improves the recognition accuracy; and then, the batch normalization layer is added to carry out a uniform normalization of the data, so as to make the model easier to converge. At the same time, the pooling layer and the fully connected layer are improved to solve the redundancy problem of the traditional VGG network model, which makes the model structure more lightweight, greatly saves the computational cost, shortens the training time, and finally adopts the joint-sample uniformly distributed cross-entropy as the loss function to solve the overfitting problem and further improve the recognition rate. The experimental results show that the improved VGG model has an identification accuracy of up to 98.84% for the internal damage spectrogram of the wire rope, which shows a good identification ability. Not only that, but the model is also superior, with less time-consuming training and stronger generalization ability.

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Nondestructive Testing of Wire Ropes Based on Image Fusion of Leakage Flux and Visible Light

Cited by 12 publications

References 10 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

A State-of-the-Art Review of Non-Destructive Testing Image Fusion and Critical Insights on the Inspection of Aerospace Composites towards Sustainable Maintenance Repair Operations

Research on Internal Damage Identification of Wire Rope Based on Improved VGG Network

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