Missing measurement data recovery methods in structural health monitoring: The state, challenges and case study

Zhang, Jianwei; Huang, Minshui; Wan, Neng; Deng, Zhihang; He, Zhongao; Luo, Jin

doi:10.1016/j.measurement.2024.114528

Cited by 30 publications

(6 citation statements)

References 94 publications

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“…In addition, the vibration acceleration of structures is an essential indicator for assessing vibration comfort and obtaining reliable acceleration signal data. Various test techniques developed for structural health monitoring could be used to enhance the comfortbased vibration testing approach [213,214].…”

Section: Vibration Comfort Evaluation Methodsmentioning

confidence: 99%

Structural Vibration Comfort: A Review of Recent Developments

Xie,

Hua

2024

Buildings

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With continuous improvements in the social economy and living standards of individuals, the vibration comfort of building structures has gradually been emphasized by academic and engineering communities, such as vehicle-induced vibrations in buildings near traffic, human-induced vibrations in large-span structures, wind-induced vibrations in super-high-rise buildings, and machinery-induced structural vibrations. Comfort-based structural analysis is distinct from traditional safety-based structural analysis, and its theoretical systems and unified guidelines have not yet been established. This paper reviews recent research on structural vibration comfort, including major load categories and their impacts, comfort-based structural analysis, evaluation methods, and vibration-mitigation measures. By presenting the shortcomings of the existing research, potential topics for future study are suggested.

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Section: Vibration Comfort Evaluation Methodsmentioning

confidence: 99%

Structural Vibration Comfort: A Review of Recent Developments

Xie,

Hua

2024

Buildings

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“…Currently, each of these stages involves a variety of techniques and tools, and choosing the most effective ones may be a rather complex problem since each of them has its own characteristics, advantages, and shortcomings. Obviously, the efficiency of vibration-based diagnostics is first determined by the specifications of primary data collection and processing tools [ 19 , 20 , 21 , 22 ].…”

Section: General Issues In Vibration-based Diagnosticsmentioning

confidence: 99%

“…In this case, in vibration-based diagnostics, the main physical operating equipment condition data carrier is the vibroacoustic signal, which is a collective concept encompassing information on oscillatory processes (vibrational, hydrodynamic, gas-dynamic, etc.) and acoustic noise of the mechanism in the surrounding environment [ 21 , 22 , 23 ].…”

Section: General Issues In Vibration-based Diagnosticsmentioning

confidence: 99%

Hybrid Vibration Sensor for Equipment Monitoring and Diagnostics

Bryakin,

Bochkarev,

Khramshin

et al. 2024

Sensors

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Vibration diagnostics based on vibroacoustic signal data belong to the most common ways to monitor the technical condition of equipment and technical structures. The paper considers the general issues of vibration-based diagnostics and shows that in general, it is required to monitor both axial and torsional oscillations, as well as the inclination angle, occurring during the operation of various technical objects. To comprehensively monitor these parameters, a hybrid vibration sensor is proposed, simultaneously implementing three operating modes: recording linear displacements of the vibrating object; recording the rotation angle of the object at its torsional oscillations; recording the object angular deviation from the vertical component of the natural local geomagnetic field, i.e., the inclinometer mode. The proposed hybrid sensor design is described, and a theoretical analysis of the sensor’s operation in each of the aforementioned operating modes is performed. The authors show that in the inclinometer mode the sensor actually operates as a fluxgate meter. Generalizing the results of the sensor’s operation simultaneously in all three operating modes, an equation for the total output data signal has been obtained, which allows for obtaining the required information on the current values of linear displacements and rotation and inclination angles by selectively filtering it with respective three filters tuned to specific frequencies. The experimental studies of the proposed hybrid vibration sensor confirmed its ability to record various vibrational disturbances and changes in the inclination angle of the monitored object.

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“…In the field of Structural Health Monitoring (SHM), Zhang et al [108] highlighted the significant impact of missing sensor measurement signals on the accuracy of deterioration identification and the assessment process of structural health. They conducted a study to examine the current advantages and limitations of methods for recovering missing data in SHM, emphasizing that machine learning algorithms provide increased precision and computational efficiency.…”

Section: Digital Twin In Other Domainsmentioning

confidence: 99%

Digital Twin—A Review of the Evolution from Concept to Technology and Its Analytical Perspectives on Applications in Various Fields

Iliuţă,

Moisescu,

Pop

et al. 2024

Applied Sciences

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Digital Twin (DT) technology has experienced substantial advancements and extensive adoption across various industries, aiming to enhance operational efficiency and effectiveness. Defined as virtual replicas of physical objects, systems, or processes, Digital Twins enable real-time simulation, monitoring, and analysis of real-world behavior. This comprehensive review delves into the evolution of DT technology, tracing its journey from conceptual origins to contemporary technological implementations. The review provides detailed definitions, a classification of different types of Digital Twins, and a comparative analysis of their architectures. Furthermore, it investigates the application of DT technology in diverse sectors, with a particular emphasis on medicine and manufacturing, exemplified by use cases such as personalized medicine. Moreover, the review highlights emerging trends and future directions in DT technology, underscoring the transformative potential of integrating artificial intelligence and machine learning to augment DT capabilities. This analysis not only elucidates the current state of DT technology but also anticipates its future trajectory and impact across multiple domains.

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Missing measurement data recovery methods in structural health monitoring: The state, challenges and case study

Cited by 30 publications

References 94 publications

Structural Vibration Comfort: A Review of Recent Developments

Structural Vibration Comfort: A Review of Recent Developments

Hybrid Vibration Sensor for Equipment Monitoring and Diagnostics

Digital Twin—A Review of the Evolution from Concept to Technology and Its Analytical Perspectives on Applications in Various Fields

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