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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Publication Details

Journal
Journal of vibration and acoustics
Published
2024-11-05
DOI
https://doi.org/10.1115/1.4067081
Citations
3
Primary Topic
Advanced Sensor Technologies Research
Type
article
Field-Weighted Citation Impact
0.55
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article

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

Steven W. B. Klaassen, D. de Klerk, Philipp E. Bofinger, Jelle Boelens
3 citations
Journal of vibration and acoustics
Advanced Sensor Technologies Research
0.55
article

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

Steven W. B. Klaassen, D. de Klerk, Philipp E. Bofinger, Jelle Boelens
article en
3 citations

Abstract

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.

Journal of vibration and acousticsVol. 147(1)
Delft University of Technology (NL)
Openalex Percentile: Top 36%
Advanced Sensor Technologies Research
0.55
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X-DoF: Automatic Degree-of-Freedom Subset Selection for Inverse Blocked Force Characterization — Steven W. B. Klaassen, D. de Klerk, et al. · Journal of vibration and acoustics (2024) | TGRS Research Map | TGRS