What question did this study set out to answer?

The research aims to create a framework for identifying deviations in measured forces within multi-mass systems.

April 6, 2026Open Access

Experimental Decision Framework for Detecting Force Deviations in Phase-Controlled Multi-Mass Systems

Key Points

The research aims to create a framework for identifying deviations in measured forces within multi-mass systems.
Developed a minimal experimental decision framework
Separated dynamic contributions from structural artefacts
Defined a noise-aware detection criterion
Validated framework using a controlled synthetic dataset
Established a reproducible methodological basis for detecting force deviations
Validated framework shows promise for future experimental investigations
Demonstrated effective separation of noise from actual deviations

Abstract

This work presents a minimal experimental decision framework for detecting systematic deviations in measured normal force in phase-controlled multi-mass systems. The approach separates dynamic contributions from structural artefacts and defines a noise-aware detection criterion. The framework is validated using a controlled synthetic dataset and establishes a reproducible methodological basis for future experimental investigations.

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Matthias Früh

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Experimental Decision Framework for Detecting Force Deviations in Phase-Controlled Multi-Mass Systems

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Abstract

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