Development of Synchronized High-Sensitivity Wireless Accelerometer for Structural Health Monitoring

Shaik Althaf V. Shajihan, Raymond Chow, Kirill Mechitov, Yuguang Fu, Tu Hoang, Billie F. Spencer

Sensors · 2020 · 40 citations · 27 references

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TL;DR

Digital MEMS accelerometers with high sensitivity and low noise are increasingly used in wireless smart sensors for structural health monitoring, yet synchronized data sampling across nodes has been limited because the sensors’ internal ADCs are inaccessible to the host platform. The study seeks to devise a method to synchronize data from these high‑sensitivity accelerometers in wireless smart sensor networks. The authors integrated a high‑sensitivity digital accelerometer into the Xnode platform, used an adaptive iterative algorithm to characterize ADC delays without hardware‑level access, and validated the approach through extensive experiments. The method reduced ADC startup uncertainty and achieved sub‑15‑µs time synchronization, demonstrating its effectiveness for critical structural health monitoring applications.

Abstract

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.

References

27