Evidence map›Paper›PMID 42817509›Full record

ArticleSensors (Basel, Switzerland)2026

A Model-Based Approach for Dynamic Characterisation of Force Transducers with Impact Hammers.

Gianmarco Battista, Stefano Pavoni, Francescantonio Lucà, Marta Berardengo, Marcello Vanali

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Gianmarco BattistaDepartment of Engineering for Industrial Systems and Technologies, University of Parma, 43124 Parma, Italy.ORCID 0000-0002-0187-942X
Stefano PavoniDepartment of Engineering for Industrial Systems and Technologies, University of Parma, 43124 Parma, Italy.ORCID 0000-0003-3256-2158
Francescantonio LucàDepartment of Mechanical Engineering, Politecnico di Milano, Via La Masa, 34, 20156 Milan, Italy.ORCID 0000-0002-6390-3704
Marta BerardengoDepartment of Mechanical, Energy, Management and Transportation Engineering, University of Genova, 16145 Genova, Italy.ORCID 0000-0002-8625-0822
Marcello VanaliDepartment of Engineering for Industrial Systems and Technologies, University of Parma, 43124 Parma, Italy.ORCID 0000-0002-9864-6728

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a method for the dynamic characterisation of load cells and force transducers designed to be straightforward to implement and based on instrumentation commonly used in structural dynamics testing. Impact hammers simultaneously provide an impulsive force to the sensor under test and measure the actual input to estimate the frequency response function. The bandwidth of the sensor is evaluated using an analytical single- or multi-degree-of-freedom frequency-domain model that is fitted to the experimental frequency response function using a Non-Linear Least-Squares approach. This paper provides guidelines for selecting the model complexity and the fitting frequency range and demonstrates the procedure on an experimental strain-gauge load cell. For the investigated transducer, the identified first natural frequency was 481.4 Hz, resulting in bandwidths of 47.9 Hz, 105.1 Hz, and 154.2 Hz for allowable deviations from the static sensitivity of 1%, 5%, and 10%, respectively. Moreover, for the single-degree-of-freedom case, the effect of masses added under operating conditions is modelled, with a worst-case relative error below 1% in the prediction of the natural frequency for the validation measurements, thus enabling the actual bandwidth to be estimated.

Indexed as

dynamic calibrationdynamic forceforce transducersfrequency domain characterisationimpulse forceload cellsmodel-based characterisationsensor characterisation

Identifiers

PMID42817509
PMCPMC13611305

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.