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On the Effect of Intra- and Inter-Node Sampling Variability on Operational Modal Parameters in a Digital MEMS-Based

Matteo Brambilla1, Paolo Chiariotti1, Alfredo Cigada1

  • 1Politecnico di Milano, Department of Mechanical Engineering, Via Privata Giuseppe La Masa 1, 20156 Milano, Italy.

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Timing irregularities in distributed structural health monitoring (SHM) systems significantly impact modal parameter estimation. This study quantifies clock variability effects on natural frequencies, damping ratios, and mode shapes, crucial for reliable damage detection.

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Area of Science:

  • Structural Health Monitoring (SHM)
  • Vibration-based analysis
  • Metrology

Background:

  • Operational modal parameters are key for SHM, but timing uncertainties in distributed sensor networks pose challenges.
  • Digital MEMS accelerometers in modern SHM systems require precise synchronization, as clock irregularities lead to non-deterministic sampling.

Purpose of the Study:

  • To quantify the impact of timing variability on modal parameter estimation in distributed SHM systems.
  • To propagate timing uncertainties to modal quantities using a Monte-Carlo framework.
  • To assess the influence of clock variability on damage detection capabilities.

Main Methods:

  • Utilized covariance-driven stochastic subspace identification (SSI-COV) for modal parameter identification.
  • Employed a Monte-Carlo-based framework to propagate timing uncertainties.
  • Simulated intra-node and inter-node clock irregularities on a steel cantilever beam finite element model.

Main Results:

  • Clock variability significantly affects mode shape estimation and introduces systematic biases in natural frequencies and damping ratios.
  • Increased timing irregularity leads to wider confidence intervals, indicating higher uncertainty in modal parameter identification.
  • The study provides metrological insights into the limitations imposed by clock variability on vibration-based SHM.

Conclusions:

  • Timing variability is a critical factor affecting the reliability of distributed SHM systems.
  • Guidance is provided for designing robust monitoring systems with independently timed nodes.
  • Understanding and mitigating clock variability effects are essential for accurate damage detection.