Comparative Analysis of Machine Learning Techniques for Identifying Multiple Force Systems from Accelerometer Measurements

Comparative Analysis of Machine Learning Techniques for Identifying Multiple Force Systems from Accelerometer Measurements

The knowledge of the forces acting on a structure enables, among many other factors, assessments of whether the component’s useful life is compromised by the current machine condition. In many cases, a direct measurement of those forces becomes unfeasible, and an inverse problem must be solved. Amon...

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Bibliographic Details
Main Authors: Giovanni de Souza Pinheiro, Fábio Antônio do Nascimento Setúbal, Sérgio de Souza Custódio Filho, Alexandre Luiz Amarante Mesquita, Marcus Vinicius Alves Nunes
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Sensors
Subjects:
force identification
vibration measurements
finite element method
harmonic analysis
machine learning
Online Access:https://www.mdpi.com/1424-8220/24/20/6675

Internet

https://www.mdpi.com/1424-8220/24/20/6675

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