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Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
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Anisotropic Magnetoresistive Sensors: Dynamic Modeling and Characterization for Blade Tip-Timing Measurements.

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Design and Uncertainty Evaluation of a Calibration Setup for Turbine Blades Vibration Measurement.

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Updated: Aug 10, 2025

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Experimental Investigation on Hardware and Triggering Effect in Tip-Timing Measurement Uncertainty.

Lorenzo Capponi1, Tommaso Tocci1, Marco Marrazzo2

  • 1Department of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy.

Sensors (Basel, Switzerland)
|February 11, 2023
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Summary

This study quantifies the uncertainty in blade tip-timing measurements for gas turbines. Understanding this uncertainty is crucial for accurate structural health monitoring and dynamic behavior analysis.

Keywords:
blade vibrationdiagnosticstip-timingturbomachineryuncertainty

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Area of Science:

  • Mechanical Engineering
  • Aerospace Engineering
  • Non-Destructive Testing

Background:

  • Structural health monitoring is vital for gas turbine reliability.
  • Tip-timing is a key non-contact method for assessing turbine blade dynamics.
  • Accurate data is essential for validating predictive models.

Purpose of the Study:

  • To investigate the uncertainty associated with blade tip-timing measurements.
  • To evaluate the impact of measurement setup and data processing on uncertainty.
  • To provide a fundamental understanding for numerical and aeromechanical modeling validation.

Main Methods:

  • Experimental analysis of a commercial blade tip-timing system.
  • Assessment of measurement setup and data processing procedures.
  • Determination of uncertainty under various operating conditions.

Main Results:

  • Quantified the uncertainty in time-of-arrival measurements.
  • Identified the influence of electronic components on tip-timing uncertainty.
  • Determined the effect of signal processing on measurement accuracy.

Conclusions:

  • The study provides critical insights into the uncertainty of blade tip-timing systems.
  • This research supports more reliable aeromechanical modeling and condition-based maintenance.
  • Understanding uncertainty is fundamental for enhancing gas turbine structural health monitoring.