Measurement of tight in steel ropes by a mean of thermovision

Krešák, Jozef; Peterka, Pavel; Kropuch, Stanislav; Novák, Lajos

doi:10.1016/j.measurement.2013.12.026

Cited by 17 publications

(11 citation statements)

References 4 publications

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“…Infrared thermographic technique (ITT) is one of the non-destructive testing techniques used for preventive and predictive maintenance, as well as for non-contact temperature measurement [1,2]. ITT works on the principle of transformation of spatial variations in the infrared (IR) radiation emitted from the surface of an observed object into a two-dimensional (2D) IR image, where the differences in temperature distribution are presented as a range of colours or tones [3].…”

Section: Introductionmentioning

confidence: 99%

Determination of Emissivity of Brass Alloy using Infrared Thermographic Technique

Lanc

Zeljković

Živković

et al. 2018

Materials and Geoenvironment

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This paper presents the experimental determination of the dependence of emissivity of brass on surface roughness and temperature. The investigation was conducted using the infrared thermographic technique on brass alloy C27200 workpieces with different degrees of surface roughness, during the continuous cooling process. The results obtained showed that the emissivity of the chosen brass alloy increases with greater surface roughness and decreases during the cooling process, its value ranging from 0.07 to 0.19. It was concluded that surface roughness has a greater influence on the increase of the emissivity at higher temperatures, which can be seen in the three-dimensional infrared images. Multiple regression analysis confirmed a strong correlation between the examined parameters and the emissivity, and an original multiple regression model was determined.

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Section: Introductionmentioning

confidence: 99%

Determination of Emissivity of Brass Alloy using Infrared Thermographic Technique

Lanc

Zeljković

Živković

et al. 2018

Materials and Geoenvironment

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“…However, no single nondestructive testing technique can identify all kinds of defects. Infrared nondestructive testing does not contain dangerous radiation and has characteristic of noncontact; thus, it has widely applied in solving real problems in numerous areas [15].In addition, its popular application areas contain building sector [16,17], aeronautics and astronautics [18], chemical industry [19], food [20], cultural heritage [21], and so on. Munoz et al [22,23] determined heat source dissipation from infrared thermographic measurements based on the heat diffusion equation provided by thermodynamics principles and identified damage evolution in carbon fibre reinforced composites combing acoustic emission and infrared thermography.…”

Section: Introductionmentioning

confidence: 99%

“…The researchers [15,36] investigated the failures of steel ropes and defect of ferromagnetic specimens by means of thermovision. In [15], since the measurements required extremely sensitive thermovision technology, the method can detect the tight of ropes at certain conditions. In [34], the researchers developed a new active thermography technique, which can detect the defect in ferromagnetic steel specimens.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Nondestructive Testing of Broken Wires for Wire Rope Based on Magnetic and Infrared Information

Zhang

Jingzhuo

2020

Journal of Sensors

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The lifetime of wire rope is crucial in industry manufacturing, mining, and so on. The damage can be detected by using appropriate nondestructive testing techniques or destructive tests by cutting the part. For broken wires classification problems, this work is aimed at improving the recognition accuracy. Facing the defects at the exterior of the rope, a novel method for recognition of broken wires is firstly developed based on magnetic and infrared information fusion. A denoising method, which is adopted for magnetic signal, is proposed for eliminating baseline signal and wave strand. An image segmentation method is employed for parting the defects of infrared images. Characteristic vectors are extracted from magnetic images and infrared images, then kernel extreme learning machine network is applied to implement recognition of broken wires. Experimental results show that the denoising method and image segmentation are effective and the information fusion can improve the classification accuracy, which can provide useful information for estimating the residual lifetime of wire rope.

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“…It is widely used in lifting, transportation, and traction equipment/systems. The main equipment/systems include mine hoists, ropeways, cranes, oil rigs, elevators, and cable-stayed bridges [1][2][3][4]. During the service of steel wire ropes (WRs), defects and damages like wire breakage, wear, rust, fatigue, strand breakage, and even sudden breaking will inevitably occur due to various reasons.…”

Section: Introductionmentioning

confidence: 99%

A Review of Non-Destructive Damage Detection Methods for Steel Wire Ropes

Zhou

Zhu

et al. 2019

Applied Sciences

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As an important load-bearing component, steel wire ropes (WRs) are widely used in complex systems such as mine hoists, cranes, ropeways, elevators, oil rigs, and cable-stayed bridges. Non-destructive damage detection for WRs is an important way to assess damage states to guarantee WR’s reliability and safety. With intelligent sensors, signal processing, and pattern recognition technology developing rapidly, this field has made great progress. However, there is a lack of a systematic review on technologies or methods introduced and employed, as well as research summaries and prospects in recent years. In order to bridge this gap, and to promote the development of non-destructive detection technology for WRs, we present an overview of non-destructive damage detection research of WRs and discuss the core issues on this topic in this paper. First, the WRs’ damage type is introduced, and its causes are explained. Then, we summarize several main non-destructive detection methods for WRs, including electromagnetic detection method, optical detection method, ultrasonic guided wave detection method, and acoustic emission detection method. Finally, a prospect is put forward. Based on the review of papers, we provide insight about the future of the non-destructive damage detection methods for steel WRs to a certain extent.

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Measurement of tight in steel ropes by a mean of thermovision

Cited by 17 publications

References 4 publications

Determination of Emissivity of Brass Alloy using Infrared Thermographic Technique

Determination of Emissivity of Brass Alloy using Infrared Thermographic Technique

Quantitative Nondestructive Testing of Broken Wires for Wire Rope Based on Magnetic and Infrared Information

A Review of Non-Destructive Damage Detection Methods for Steel Wire Ropes

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