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Efficacy of M<sub>split</sub> Estimation in Displacement Analysis.

Sensors (Basel, Switzerland)·2019
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Unstable Object Points during Measurements-Deformation Analysis Based on Pseudo Epoch Approach.

Robert Duchnowski1, Patrycja Wyszkowska1

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Summary

Sudden point displacements in geodetic networks, caused by events like rockbursts, require special analysis. Msplit estimation effectively models these movements, providing distinct coordinate sets before and after the event for better deformation monitoring.

Keywords:
Monte Carlo simulationsMsplit estimationdisplacement analysispseudo epochsrobust estimation

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Area of Science:

  • Geodesy
  • Geotechnical Engineering
  • Structural Health Monitoring

Background:

  • Deformation analysis is crucial for monitoring ground and engineering structures.
  • Traditional methods rely on geodetic measurements over multiple epochs.
  • Sudden point displacements within an epoch pose challenges for standard analysis.

Purpose of the Study:

  • To investigate methods for analyzing sudden point displacements in geodetic networks.
  • To compare Msplit estimation with robust methods for handling pseudo-epochs.
  • To determine the most effective approach for modeling dynamic changes in geodetic networks.

Main Methods:

  • Examination of Msplit estimation technique.
  • Application of robust estimation methods.
  • Analysis of hypothetical observation sets with unknown epoch divisions (pseudo-epochs).

Main Results:

  • Msplit estimation provides two sets of network point coordinates: pre- and post-displacement.
  • This dual-coordinate output effectively visualizes dynamic changes.
  • Empirical analyses indicate Msplit estimation yields superior and more realistic outcomes compared to other methods.

Conclusions:

  • Msplit estimation is a highly suitable method for analyzing sudden point displacements in geodetic monitoring.
  • The method enhances the understanding of dynamic network changes.
  • It offers improved accuracy and realism in deformation analysis results.