Force signal alignment in dynamic testing machine calibration applications

• Cross-correlation can help time-align the signals in dynamic force calibration. • Signal synchronisation improves the testing machine calibration error results. • Tested on 20 kN and 1000 kN testing machine calibration examples. • Signal clock-rates should be matched before delay correction. Calibration of force in measuring systems where the force is time dependent i.e. dynamically changing, introduces additional complexities versus quasi-static calibration conditions. Time variable force signals necessitate accurate time alignment between concurrent signals – measurement series from unit under test and the measurement series from the reference standard need to be synchronised. Different unsynchronised measuring systems are typically used for acquisition of each calibration signal and they need to be time aligned in post-processing to eliminate as much as possible the influence of the sample misalignment from the resulting testing machine indication error. The paper focuses on the time synchronization of measurement series by using cross-correlation to determine the necessary time correction when calibrating testing machines with dynamic cyclic force excitation. Measurements are presented for calibration signals in the examples of 20 kN testing machine compression calibration for 5 kN ± 1 kN cycling force with 1 Hz, 5 Hz, and 10 Hz cycling frequencies, and 1000 kN testing machine tensile calibration for 500 kN ± 100 kN cycling force with 1 Hz cycling frequency. The standard deviation of the error distribution after time correction and clock rate compensation was below 0.2 % for both, 20 kN testing machine calibration, and 1000 kN testing machine calibration.

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Publication Details

Journal
Measurement
Published
2025-09-22
DOI
https://doi.org/10.1016/j.measurement.2025.119070
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Force signal alignment in dynamic testing machine calibration applications

Miha Hiti
Measurement
Iterative Learning Control Systems
article

Force signal alignment in dynamic testing machine calibration applications

Miha Hiti
article en

Abstract

• Cross-correlation can help time-align the signals in dynamic force calibration. • Signal synchronisation improves the testing machine calibration error results. • Tested on 20 kN and 1000 kN testing machine calibration examples. • Signal clock-rates should be matched before delay correction. Calibration of force in measuring systems where the force is time dependent i.e. dynamically changing, introduces additional complexities versus quasi-static calibration conditions. Time variable force signals necessitate accurate time alignment between concurrent signals – measurement series from unit under test and the measurement series from the reference standard need to be synchronised. Different unsynchronised measuring systems are typically used for acquisition of each calibration signal and they need to be time aligned in post-processing to eliminate as much as possible the influence of the sample misalignment from the resulting testing machine indication error. The paper focuses on the time synchronization of measurement series by using cross-correlation to determine the necessary time correction when calibrating testing machines with dynamic cyclic force excitation. Measurements are presented for calibration signals in the examples of 20 kN testing machine compression calibration for 5 kN ± 1 kN cycling force with 1 Hz, 5 Hz, and 10 Hz cycling frequencies, and 1000 kN testing machine tensile calibration for 500 kN ± 100 kN cycling force with 1 Hz cycling frequency. The standard deviation of the error distribution after time correction and clock rate compensation was below 0.2 % for both, 20 kN testing machine calibration, and 1000 kN testing machine calibration.

MeasurementVol. 258
Slovenian National Building and Civil Engineering Institute (SI)
Openalex Percentile: Top 68%
Iterative Learning Control Systems
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Force signal alignment in dynamic testing machine calibration applications — Miha Hiti · Measurement (2025) | TGRS Research Map | TGRS