TY - JOUR
T1 - Development of Synchronized High-Sensitivity Wireless Accelerometer for Structural Health Monitoring
AU - Veluthedath Shajihan, Shaik Althaf
AU - Chow, Raymond
AU - Mechitov, Kirill
AU - Fu, Yuguang
AU - Hoang, Tu
AU - Spencer, Billie F.
N1 - Funding Information:
This research was funded in part by the Nazarbayev University Research Fund under Grant #SOE2017003 and the Ravindar K. and Kavita Kinra Fellowship. The authors gratefully acknowledge the support of this research by the Nazarbayev University Research Fund under Grant #SOE2017003. We also thank the Ravindar K. and Kavita Kinra Fellowship for partly supporting the research by the first author. We acknowledge Seiko Epson Corporation for providing the validation data used for the experimental results? evaluation.
Funding Information:
Research Fund under Grant #SOE2017003. We also thank the Ravindar K. and Kavita Kinra Fellowship for partly #SOE2017003 and the Ravindar K. and Kavita Kinra Fellowship. supporting the research by the first author. We acknowledge Seiko Epson Corporation for providing the validation Acknowledgments: The authors gratefully acknowledge the support of this research by the Nazarbayev CUonifvliecrtssitoyf IRnetseeraersct:hTFhuenaduthuonrdsedrecGlararentno#ScOonEf2li0c1t7o0f0i3n.teWreest .also thank the Ravindar K. and Kavita Kinra Fellowship for partly supporting the research by the first author. We acknowledge Seiko Epson Corporation for providing the validation data used for the experimental results’ evaluation.
Funding Information:
Acknowledgments: The authors gratefully acknowledge the support of this research by the Nazarbayev University
PY - 2020/8/1
Y1 - 2020/8/1
N2 - The use of digital accelerometers featuring high sensitivity and low noise levels in wireless smart sensors (WSSs) is becoming increasingly common for structural health monitoring (SHM) applications. Improvements in the design of Micro Electro-Mechanical System (MEMS) based digital accelerometers allow for high resolution sensing required for SHM with low power consumption suitable for WSSs. However, new approaches are needed to synchronize data from these sensors. Data synchronization is essential in wireless smart sensor networks (WSSNs) for accurate condition assessment of structures and reduced false-positive indications of damage. Efforts to achieve synchronized data sampling from multiple WSS nodes with digital accelerometers have been lacking, primarily because these sensors feature an internal Analog to Digital Converter (ADC) to which the host platform has no direct access. The result is increased uncertainty in the ADC startup time and thus worse synchronization among sensors. In this study, a high-sensitivity digital accelerometer is integrated with a next-generation WSS platform, the Xnode. An adaptive iterative algorithm is used to characterize these delays without the need for a dedicated evaluation setup and hardware-level access to the ADC. Extensive tests are conducted to evaluate the performance of the accelerometer experimentally. Overall time-synchronization achieved is under 15 µs, demonstrating the efficacy of this approach for synchronization of critical SHM applications.
AB - The use of digital accelerometers featuring high sensitivity and low noise levels in wireless smart sensors (WSSs) is becoming increasingly common for structural health monitoring (SHM) applications. Improvements in the design of Micro Electro-Mechanical System (MEMS) based digital accelerometers allow for high resolution sensing required for SHM with low power consumption suitable for WSSs. However, new approaches are needed to synchronize data from these sensors. Data synchronization is essential in wireless smart sensor networks (WSSNs) for accurate condition assessment of structures and reduced false-positive indications of damage. Efforts to achieve synchronized data sampling from multiple WSS nodes with digital accelerometers have been lacking, primarily because these sensors feature an internal Analog to Digital Converter (ADC) to which the host platform has no direct access. The result is increased uncertainty in the ADC startup time and thus worse synchronization among sensors. In this study, a high-sensitivity digital accelerometer is integrated with a next-generation WSS platform, the Xnode. An adaptive iterative algorithm is used to characterize these delays without the need for a dedicated evaluation setup and hardware-level access to the ADC. Extensive tests are conducted to evaluate the performance of the accelerometer experimentally. Overall time-synchronization achieved is under 15 µs, demonstrating the efficacy of this approach for synchronization of critical SHM applications.
KW - synchronized sensing
KW - high-sensitivity accelerometer
KW - wireless smart sensor
KW - digital output sensor
KW - structural health monitoring
KW - time synchronization
KW - Synchronized sensing
KW - High-sensitivity accelerometer
KW - Digital output sensor
KW - Structural health monitoring
KW - Wireless smart sensor
KW - Time synchronization
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U2 - 10.3390/s20154169
DO - 10.3390/s20154169
M3 - Article
C2 - 32727037
SN - 1424-8220
VL - 20
SP - 1
EP - 20
JO - Sensors (Basel, Switzerland)
JF - Sensors (Basel, Switzerland)
IS - 15
M1 - 4169
ER -