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

Shaik Althaf Veluthedath Shajihan1, Raymond Chow2, Kirill Mechitov3

  • 1Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.

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Summary
This summary is machine-generated.

Accurate structural health monitoring (SHM) requires synchronized data from wireless smart sensors (WSSs). This study introduces an adaptive algorithm to synchronize digital accelerometers, achieving under 15 µs time-synchronization for critical SHM applications.

Keywords:
digital output sensorhigh-sensitivity accelerometerstructural health monitoringsynchronized sensingtime synchronizationwireless smart sensor

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Area of Science:

  • Structural Engineering
  • Sensor Technology
  • Signal Processing

Background:

  • Digital accelerometers in wireless smart sensors (WSSs) are crucial for structural health monitoring (SHM).
  • Existing Micro Electro-Mechanical System (MEMS) accelerometers offer high resolution and low power for WSSs.
  • A key challenge in wireless smart sensor networks (WSSNs) is achieving precise data synchronization due to inaccessible internal Analog to Digital Converters (ADCs).

Purpose of the Study:

  • To develop and evaluate a novel approach for synchronizing data from digital accelerometers integrated into WSS platforms.
  • To address the limitations of current synchronization methods caused by internal ADC startup time uncertainties.
  • To enable accurate condition assessment and reduce false damage indications in structures.

Main Methods:

  • Integration of a high-sensitivity digital accelerometer with a next-generation WSS platform (Xnode).
  • Implementation of an adaptive iterative algorithm to characterize sensor delays without requiring dedicated hardware or ADC access.
  • Conducting extensive experimental tests to validate the synchronization performance.

Main Results:

  • The proposed adaptive iterative algorithm effectively characterizes delays without direct ADC access.
  • Experimental validation demonstrates the efficacy of the developed synchronization approach.
  • Achieved overall time-synchronization below 15 µs, meeting critical requirements for SHM.

Conclusions:

  • The novel synchronization method overcomes limitations associated with internal ADCs in digital accelerometers.
  • This approach significantly improves data synchronization accuracy in wireless smart sensor networks for SHM.
  • The achieved sub-15 µs synchronization is suitable for demanding structural health monitoring applications.