Impact of time synchronization error on the mode-shape identification and damage detection/localization in WSNs for structural health monitoring

Abdaoui, Abderrazak; Fouly, Tarek M. El; Ahmed, Mohamed H.

doi:10.1016/j.jnca.2017.01.004

Cited by 14 publications

(16 citation statements)

References 23 publications

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“…Hence, TSE resilient algorithms have a vital role in WSNs for SHM for minimizing network power consumption by preventing or reducing the utilization of time synchronization protocols. Hence, some studies, 142,147–149 which were recounted in the literatures, concern such a usage of TSE resilient algorithms.…”

Section: The Key Challenges Of Wsns For Shmmentioning

confidence: 99%

“…Numerical simulation results demonstrated that the earlier proposed strategy could tolerate considerable TSEs, with no sacrifice of accuracy in identifying modal parameters and localizing structural damage. The same methodology was utilized by Abdaoui et al 147 for analyzing the effect of TSE on the mode shape, but they did not utilize centralized processing as in Yan and Dyke, 142 rather semi-independent processing. There, each sensor node locally computed FFT of the in situ collected data, and the transmission of the FFT frequency samples to the base station took place after that.…”

Section: The Key Challenges Of Wsns For Shmmentioning

confidence: 99%

See 1 more Smart Citation

Wireless sensor network for structural health monitoring: A contemporary review of technologies, challenges, and future direction

Abdulkarem

Samsudin

Rokhani

et al. 2019

Structural Health Monitoring

235

109

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The importance of wireless sensor networks in structural health monitoring is unceasingly growing, because of the increasing demand for both safety and security in the cities. The speedy growth of wireless technologies has considerably developed the progress of structural monitoring systems with the combination of wireless sensor network technology. Wireless sensor network–based structural health monitoring system introduces a novel technology with compelling advantages in comparison to traditional wired system, which has the benefits of reducing installation and maintenance costs of structural health monitoring systems. However, structural health monitoring has brought an additional complex challenges in network design to wireless sensor networks. This article presents a contemporary review of collective experience the researchers have gained from the application of wireless sensor networks for structural health monitoring. Technologies of wired and wireless sensor systems are investigated along with wireless sensor node architecture, functionality, communication technologies, and its popular operating systems. Then, comprehensive summaries for the state-of-the-art academic and commercial wireless platform technologies used in laboratory testbeds and field test deployments for structural health monitoring applications are reviewed and tabulated. Following that, classification taxonomy of the key challenges associated with wireless sensor networks for structural health monitoring to assist the researchers in understanding the obstacles and the suitability of implementing wireless technology for structural health monitoring applications are deeply discussed with available research efforts in order to overcome these challenges. Finally, open research issues in wireless sensor networks for structural health monitoring are explored.

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Section: The Key Challenges Of Wsns For Shmmentioning

confidence: 99%

Section: The Key Challenges Of Wsns For Shmmentioning

confidence: 99%

Wireless sensor network for structural health monitoring: A contemporary review of technologies, challenges, and future direction

Abdulkarem

Samsudin

Rokhani

et al. 2019

Structural Health Monitoring

235

109

View full text Add to dashboard Cite

show abstract

“…Time shift causes error among the raw data from sensor nodes that affect the data integrity and can result in the incorrect mode shape identification of the structure under observation. In [17] authors illustrate the influence of time synchronization error (TSE) on the modal analysis and damage detection and concluded that TSE has a strong impression on the mode shape detection, damage localization, and damage discovery. [18] analyses the effect of clock synchronization loss on the synchro phasors-bases applications.…”

Section: Impact Of Synchronization Errormentioning

confidence: 99%

IEEE 1588 for Clock Synchronization in Industrial IoT and Related Applications: A Review on Contributing Technologies, Protocols and Enhancement Methodologies

et al. 2020

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Precise time synchronization becomes a vital constituent due to the rigorous needs of several time-sensitive applications. The clock synchronization protocol is one of the fundamental factors that can define the quality of communication. Our study starts with a brief discussion on the application domain of precise time synchronization and comes with an in-depth study of the synchronization with the main focus on the IEEE 1588 Precision Time Protocol (PTP). We have compared the well-known synchronization techniques and conclude that the PTP is the most appropriate answer to robust clock synchronization though challenges are there that requires thoughtful efforts and modification in the current version. The working mechanism and main components of the PTP network are discussed. We have established a testbench using commercially available devices and development boards to evaluate the PTP performance under different configurations. Major sources of synchronization error and other aspects contributing to precision are examined. This paper discussed numerous approaches that could enhance the performance of the PTP protocol. Structures for PTP based wireless clock synchronization required by advanced applications has also been discussed. In the end, paper focuses on the main industrial application areas in which PTP plays an important role, including WLAN, optical data centers, Smart grid, IEC 61850, etc. We conclude the paper by identifying the future trends and research directions for PTP based clock synchronization.

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“…Sin embargo, esto conduce a problemas de sincronización y por lo tanto un gran número de métodos se han desarrollado para mejorar la sincronización, como la Broadcast Synchronization (RBS) [15], MultiLayer Medium Access Control (ML-MAC) [16][17], Deployed Relay Nodes (RNS), Acceso a Medios-Muchos portadores de sentido Múltiple Acceso-Control de tiempo de acceso múltiple por división (MAC CSMA-TDMA) [18]; cabe señalar que la mayoría de estos métodos implican más procesamiento informático y consumo de energía. Además, estudios recientes [19][20] concluyen que los errores de sincronización en la detección, identificación y localización de daños o fallas conducen a distorsión en los resultados. En este trabajo se propone un sistema embebido remoto para la adquisición, acondicionamiento y transmisión de señales de máquinas rotatorias.…”

Section: Introductionunclassified

Instrumentación para captura y transmisión de señales de vibración

Hernández

Echeverry²,

Mesa³

et al. 2018

Vis. Electron.

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Las señales de vibración son usadas generalmente para detectar fallos en máquinas rotativas. En la actualidad existen diferentes metodologías para realizar análisis basado en dichas señales. Una metodología usada extensamente es el Mantenimiento Basado en Condición (CBM). CBM es un mantenimiento programado que recomienda acciones basadas en información recolectada. Actualmente, para la adquisición de señales de vibración se usan comúnmente Redes de Sensores Inalámbricos (WSNs por sus siglas en ingles). Los WSNs son redes formadas por una cierta cantidad de nodos, cada nodo está equipado con un sensor para identificar un fenómeno físico como la luz, presión, temperatura, etc. En este artículo, se propone un robusto sistema basado en WSNs para la adquisición, almacenamiento y transmisión de señales de vibración, el cual combina un mecanismo de acondicionamiento, una tarjeta central y un dispositivo para la transmisión inalámbrica. El sistema propuesto cumple todas las funciones anteriores de manera automática y precisa para dos señales de vibración y una señal de velocidad.

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Impact of time synchronization error on the mode-shape identification and damage detection/localization in WSNs for structural health monitoring

Cited by 14 publications

References 23 publications

Wireless sensor network for structural health monitoring: A contemporary review of technologies, challenges, and future direction

Wireless sensor network for structural health monitoring: A contemporary review of technologies, challenges, and future direction

IEEE 1588 for Clock Synchronization in Industrial IoT and Related Applications: A Review on Contributing Technologies, Protocols and Enhancement Methodologies

Instrumentación para captura y transmisión de señales de vibración

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