X-DoF: Automatic Degree-of-Freedom Subset Selection for Inverse Blocked Force Characterization

Philipp E. Bofinger; Jelle Boelens; Steven W.B. Klaassen; Dennis De Klerk

doi:10.1115/1.4067081

X-DoF: Automatic Degree-of-Freedom Subset Selection for Inverse Blocked Force Characterization

Philipp E. Bofinger^*, Jelle Boelens, Steven W.B. Klaassen, Dennis De Klerk

^*Corresponding author for this work

Dynamics of Micro and Nano Systems

Research output: Contribution to journal › Article › Scientific › peer-review

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Abstract

Selecting the proper set of degrees-of-freedom (DoFs) is essential in inverse blocked force calculation. Including too many degrees-of-freedom in the computation can lead to overfitting, resulting in inaccurate force estimations and poor prediction quality. The discrepancy arises from errors within the dataset, such as measurement noise or other artifacts. This article presents a solution to the overfitting problem, introducing the X-DoF procedure to automatically identify the relevant subset of blocked force degrees-of-freedom. Its effectiveness is showed through numerical and experimental validation and compared against regularization techniques.

Original language	English
Article number	011002
Number of pages	10
Journal	Journal of Vibration and Acoustics
Volume	147
Issue number	1
DOIs	https://doi.org/10.1115/1.4067081
Publication status	Published - 2025

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

active vibration and noise control
dynamics
structural acoustics
system identification

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Cite this

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title = "X-DoF: Automatic Degree-of-Freedom Subset Selection for Inverse Blocked Force Characterization",

abstract = "Selecting the proper set of degrees-of-freedom (DoFs) is essential in inverse blocked force calculation. Including too many degrees-of-freedom in the computation can lead to overfitting, resulting in inaccurate force estimations and poor prediction quality. The discrepancy arises from errors within the dataset, such as measurement noise or other artifacts. This article presents a solution to the overfitting problem, introducing the X-DoF procedure to automatically identify the relevant subset of blocked force degrees-of-freedom. Its effectiveness is showed through numerical and experimental validation and compared against regularization techniques.",

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note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.",

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AU - De Klerk, Dennis

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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Y1 - 2025

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X-DoF: Automatic Degree-of-Freedom Subset Selection for Inverse Blocked Force Characterization

Abstract

Bibliographical note

Keywords

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