Locating nonlinearities in mechanical systems: A frequency-domain dynamic network perspective

Koen Classens*, Maarten Schoukens, Tom Oomen, Jean Philippe Noël

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Accurately modeling nonlinearities is becoming increasingly important for mechanical systems, particularly in the context of system design, model-based control and monitoring systems for fault diagnosis. In the nonlinear modeling process, a pivotal phase involves pinpointing the physical locations and quantifying the magnitude of nonlinearities. This paper introduces a data-driven approach for nonlinearity location and quantification by analyzing nonparametric frequency response functions. To achieve this objective, measurement locations in mechanical systems are interpreted as nodes arranged in a dynamic network, and linearization techniques are employed on the frequency response functions formed from node to node. The efficacy of the proposed approach and the concept of nonlinearity localization and quantification are illustrated by numerical simulations and experiments on a flexible beam setup.

Original languageEnglish
Article number112124
Number of pages17
JournalMechanical Systems and Signal Processing
Volume224
DOIs
Publication statusPublished - 2025

Keywords

  • Dynamic networks
  • Linearization
  • Mechanical systems
  • Nonlinear data-driven modeling
  • Nonlinear systems
  • System identification

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