Diffuse Ultrasonic Wave-Based Damage Detection of Railway Tracks Using PZT/FBG Hybrid Sensing System

Sun, Xiangtao; Guo, Chuanrui; Yuan, Lei; Kong, Qingzhao; Ni, Yiqing

doi:10.3390/s22072504

Cited by 18 publications

(19 citation statements)

References 60 publications

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“…Sun et al [ 172 ] presented a hybrid ultrasonic sensing system termed diffuse ultrasonic wave (DUW) to detect damage in railway tracks using a lead-zirconate-titanate (PZT) actuator and a fiber Bragg grating (FBG) hybrid sensing system. The experimental results revealed that the DUW signals recorded by the hybrid sensing system have a high potential for damage detection on railway tracks.…”

Section: Ndt Systemsmentioning

confidence: 99%

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

Hassani

Dackermann

2023

Sensors

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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

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“…As part of a local monitoring system, Sun et al. [ 119 ] presented a hybrid ultrasonic sensing system, named diffuse ultrasonic wave (DUW), to detect damage to railway tracks using a lead–zirconate–titanate (PZT) actuator and an FBG hybrid sensing system. The experimental results showed that DUW signals could detect damage on railway tracks more effectively than the energy-based index.…”

Section: Structural Health Monitoringmentioning

confidence: 99%

A Systematic Review of Optimization Algorithms for Structural Health Monitoring and Optimal Sensor Placement

Hassani

Dackermann

2023

Sensors

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In recent decades, structural health monitoring (SHM) has gained increased importance for ensuring the sustainability and serviceability of large and complex structures. To design an SHM system that delivers optimal monitoring outcomes, engineers must make decisions on numerous system specifications, including the sensor types, numbers, and placements, as well as data transfer, storage, and data analysis techniques. Optimization algorithms are employed to optimize the system settings, such as the sensor configuration, that significantly impact the quality and information density of the captured data and, hence, the system performance. Optimal sensor placement (OSP) is defined as the placement of sensors that results in the least amount of monitoring cost while meeting predefined performance requirements. An optimization algorithm generally finds the “best available” values of an objective function, given a specific input (or domain). Various optimization algorithms, from random search to heuristic algorithms, have been developed by researchers for different SHM purposes, including OSP. This paper comprehensively reviews the most recent optimization algorithms for SHM and OSP. The article focuses on the following: (I) the definition of SHM and all its components, including sensor systems and damage detection methods, (II) the problem formulation of OSP and all current methods, (III) the introduction of optimization algorithms and their types, and (IV) how various existing optimization methodologies can be applied to SHM systems and OSP methods. Our comprehensive comparative review revealed that applying optimization algorithms in SHM systems, including their use for OSP, to derive an optimal solution, has become increasingly common and has resulted in the development of sophisticated methods tailored to SHM. This article also demonstrates that these sophisticated methods, using artificial intelligence (AI), are highly accurate and fast at solving complex problems.

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“…It has been proved that the scattered waves contained the rich information about the damage. 24,25 The time differences of the damage induced scattered waves are contained in the sidebands, which could be utilized for damage localization. 26–28 It is interesting to cooperate the elliptical trajectory location method (ETLM) with the time differences obtained from the time reversal method to achieve baseline-free damage localization.…”

Section: Introductionmentioning

confidence: 99%

A time-reversal assisted probabilistic fusion strategy for damage localization in plate-like structures using Lamb waves

Zhang

Zhou

et al. 2023

Structural Health Monitoring

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Precise damage identification and quantification is of great significance to ensure structural performance and provide early-warning for safety maintenance. In this research, a time-reversal assisted probabilistic strategy is developed to accurately localize damage via baseline-free manner in plate-like structures by fusing damage prediction data obtained from the elliptical trajectory location method (ETLM) and reconstruction algorithm for probabilistic inspection of defects (RAPID) algorithm. Damage features, including time difference for ETLM and correlation coefficient index (CCI) for RAPID algorithm, are extracted from the time-reversal focusing signal using the Hilbert transform (HT). To make full use of the damage-related information contained in the time-reversal focusing signals and improve the localizing accuracy, a decision-level data fusion based on Bayesian inference is proposed to fuse damage features and reconstruct damage information. A series of numerical and experimental studies, including different configurations of damage cases and transducer distributions, were conducted to investigate the performances of the proposed time-reversal assisted probabilistic method on damage localization. Results shows that the proposed method could successfully achieve accurate damage localization via baseline-free manner and significantly reduce the damage artifacts compared to traditional methods.

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Diffuse Ultrasonic Wave-Based Damage Detection of Railway Tracks Using PZT/FBG Hybrid Sensing System

Cited by 18 publications

References 60 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 Systematic Review of Optimization Algorithms for Structural Health Monitoring and Optimal Sensor Placement

A time-reversal assisted probabilistic fusion strategy for damage localization in plate-like structures using Lamb waves

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