Methodology of measurement of steel ropes by infrared technology

Heinz, David B.; Halek, Branislav; Krešák, Jozef; Peterka, Pavel; Fedorko, Gabriel; Molnár, Vieroslav

doi:10.1016/j.engfailanal.2021.105978

Cited by 8 publications

(6 citation statements)

References 21 publications

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“…Three main methods of active infrared thermography NDT exist: optical infrared thermography [ 239 ], ultrasonic infrared thermography [ 240 ], and microwave thermography [ 241 ]. Heinz et al [ 242 ] examined infrared thermography (IRT) for analyzing steel rope failures. A thermal imaging camera recorded the relationship between temperature increase and force increase.…”

Section: Ndt Systemsmentioning

confidence: 99%

A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring

Hassani

Dackermann

2023

Sensors

123

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This paper reviews recent advances in sensor technologies for non-destructive testing (NDT) and structural health monitoring (SHM) of civil structures. The article is motivated by the rapid developments in sensor technologies and data analytics leading to ever-advancing systems for assessing and monitoring structures. Conventional and advanced sensor technologies are systematically reviewed and evaluated in the context of providing input parameters for NDT and SHM systems and for their suitability to determine the health state of structures. The presented sensing technologies and monitoring systems are selected based on their capabilities, reliability, maturity, affordability, popularity, ease of use, resilience, and innovation. A significant focus is placed on evaluating the selected technologies and associated data analytics, highlighting limitations, advantages, and disadvantages. The paper presents sensing techniques such as fiber optics, laser vibrometry, acoustic emission, ultrasonics, thermography, drones, microelectromechanical systems (MEMS), magnetostrictive sensors, and next-generation technologies.

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Section: Ndt Systemsmentioning

confidence: 99%

A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring

Hassani

Dackermann

2023

Sensors

123

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“…One of the most recent methods of wire rope diagnostics is infrared thermography. An experiment in [72] showed how many factors affect the measurement result. In addition to the structural parameters of the rope, these factors include the ambient temperature, the temperature of the sample and the reflection temperature.…”

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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“…IRT relies on infrared thermal cameras and has become indispensable in various fields, including industry [9], [12], [14], [15], and medical applications [16]- [19]. An experimental study in [20] has even used IRT to measure the severity of cuts in a steel rope subjected to significant mechanical stress, as temperature variations in critical points depend on the tensile force applied. Recently, there has been a significant upswing in using thermal imaging for defect detection.…”

Section: Introductionmentioning

confidence: 99%

Stator Imbalance Defects Diagnosis of Induction Machine Using Thermography and Machine Learning Algorithms

Idrissi,

Derouich,

Mahfoud

et al. 2024

IEEE Access

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Identifying stator imbalance problems in induction machines (IMs) is crucial to preserving operating efficiency, reliability, and safety. This identification contributes to the IM's overall health, prolongs its lifespan, and helps organizations meet regulatory and performance standards. Moreover, it enables the execution of maintenance tasks when required, improving resource use and decreasing shutdown periods. This research presents a Non-Destructive Technique (NDT) that utilizes a thermography-based machine learning algorithm for diagnosing Stator Imbalance Defects (SID) within IMs experimentally. This technique relies on assessing temperature distribution on the outer surface of the IM stator. Then, the evaluation of various statistical variables that provide valuable insights into the normality of temperature distribution within the designated area referred to as the Region of Interest (ROI) is presented. Initially, thermal images of the stator are captured under various operating conditions, including a healthy state, SID presence, and phase missing. Then, all thermal images are converted into thermographic data matrices for statistical analysis using the Machine Learning Algorithm Gaussian Naïve Bayes (GNB). This analysis aimed at classifying SID in IMs arising from deviations in the normalcy of temperature distribution within the ROI. To demonstrate the efficacy of the suggested GNB approach, a comparison with the Subspace Discriminant Classifier and Cubic Support Vector Machine is provided. The GNB algorithm exhibits exceptional accuracy of 95.2% in classification tasks while maintaining a minimal processing time, irrespective of the operational duration of the IM.

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Methodology of measurement of steel ropes by infrared technology

Cited by 8 publications

References 21 publications

A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring

A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring

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

Stator Imbalance Defects Diagnosis of Induction Machine Using Thermography and Machine Learning Algorithms

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