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This study enhances an autonomous optical accelerometer for structural health monitoring. Improved sensor accuracy and reduced noise enable precise detection of structural changes and motions.

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Area of Science:

  • Engineering
  • Materials Science
  • Sensor Technology

Background:

  • Optical sensors offer high sensitivity and electromagnetic immunity for structural health monitoring.
  • Previous work introduced an interrogator-free Fiber Bragg Grating (FBG)-based accelerometer for autonomous applications.

Purpose of the Study:

  • To present the characterization results of an improved autonomous optical accelerometer.
  • To demonstrate enhanced precision and accuracy in structural monitoring applications.

Main Methods:

  • Characterization of sensor axes orthogonality and electronic noise reduction.
  • Development of a 12-parameter matrix calibration approach using the least-squares method.
  • Implementation of a correction term table to enhance acceleration estimation accuracy.

Main Results:

  • Achieved R² of 0.9999 in static characterization for X- and Y-axes.
  • Demonstrated compensation for gain, offset, and cross-axis sensitivity.
  • Reported zero mean error and a maximum standard deviation of 0.018 m/s² for acceleration components.
  • Attained a maximum RMSE of 6.7 × 10⁻³ m/s² across tested positions.

Conclusions:

  • The enhanced optical accelerometer provides high precision and accuracy for structural health monitoring.
  • The developed calibration method effectively compensates for sensor imperfections.
  • This autonomous device is suitable for detecting subtle structural changes and dynamic motions.