Development of a High-Sensitivity Wireless Accelerometer for Structural Health Monitoring Article Swipe
Li Zhu
,
Yuguang Fu
,
Raymond Chow
,
B. F. Spencer
,
Jong‐Woong Park
,
Kirill Mechitov
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.3390/s18010262
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.3390/s18010262
Structural health monitoring (SHM) is playing an increasingly important role in ensuring the safety of structures. A shift of SHM research away from traditional wired methods toward the use of wireless smart sensors (WSS) has been motivated by the attractive features of wireless smart sensor networks (WSSN). The progress achieved in Micro Electro-Mechanical System (MEMS) technologies and wireless data transmission, has extended the effectiveness and range of applicability of WSSNs. One of the most common sensors employed in SHM strategies is the accelerometer; however, most accelerometers in WSS nodes have inadequate resolution for measurement of the typical accelerations found in many SHM applications. In this study, a high-resolution and low-noise tri-axial digital MEMS accelerometer is incorporated in a next-generation WSS platform, the Xnode. In addition to meeting the acceleration sensing demands of large-scale civil infrastructure applications, this new WSS node provides powerful hardware and a robust software framework to enable edge computing that can deliver actionable information. Hardware and software integration challenges are presented, and the associate resolutions are discussed. The performance of the wireless accelerometer is demonstrated experimentally through comparison with high-sensitivity wired accelerometers. This new high-sensitivity wireless accelerometer will extend the use of WSSN to a broader class of SHM applications.
Related Topics
Concepts
Accelerometer
Structural health monitoring
Wireless
Sensitivity (control systems)
Wireless sensor network
Computer science
Software
Noise (video)
Embedded system
Engineering
Electronic engineering
Electrical engineering
Telecommunications
Computer network
Artificial intelligence
Programming language
Image (mathematics)
Operating system
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s18010262
- https://www.mdpi.com/1424-8220/18/1/262/pdf?version=1516200435
- OA Status
- gold
- Cited By
- 108
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2793434078
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2793434078Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s18010262Digital Object Identifier
- Title
-
Development of a High-Sensitivity Wireless Accelerometer for Structural Health MonitoringWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-01-17Full publication date if available
- Authors
-
Li Zhu, Yuguang Fu, Raymond Chow, B. F. Spencer, Jong‐Woong Park, Kirill MechitovList of authors in order
- Landing page
-
https://doi.org/10.3390/s18010262Publisher landing page
- PDF URL
-
https://www.mdpi.com/1424-8220/18/1/262/pdf?version=1516200435Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/18/1/262/pdf?version=1516200435Direct OA link when available
- Concepts
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Accelerometer, Structural health monitoring, Wireless, Sensitivity (control systems), Wireless sensor network, Computer science, Software, Noise (video), Embedded system, Engineering, Electronic engineering, Electrical engineering, Telecommunications, Computer network, Artificial intelligence, Programming language, Image (mathematics), Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
108Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 11, 2024: 17, 2023: 19, 2022: 10, 2021: 19Per-year citation counts (last 5 years)
- References (count)
-
25Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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