This paper presents a novel Iterative Frequency Excitation Technique (IFET) aimed at improving the accuracy of modal analysis in dynamic systems. Traditional modal identification methods often face challenges due to the shortness of the acquired signal, noise, and insufficient excitation levels. The proposed IFET approach employs exciting the structure with frequencies around the natural frequency of the targeted vibration mode, which is adjusted with a small step, and analyzes the signal obtained after measurements. By effectively varying the excitation frequency, the technique enables the extraction of precise natural frequencies. Experimental validation is conducted on a beam with fixed-fixed boundary conditions. It demonstrated significant enhancement in modal identification accuracy compared to impulsive excitation methods. The results indicate that the IFET significantly improves frequency readability, making it a robust tool for vibration analysis applications, including structural health monitoring.

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Iterative Frequency Excitation Technique for Accurate Modal Analysis

  • Codruța Oana Hamat,
  • Rusalin-Lucian Paun,
  • Gilbert-Rainer Gillich

摘要

This paper presents a novel Iterative Frequency Excitation Technique (IFET) aimed at improving the accuracy of modal analysis in dynamic systems. Traditional modal identification methods often face challenges due to the shortness of the acquired signal, noise, and insufficient excitation levels. The proposed IFET approach employs exciting the structure with frequencies around the natural frequency of the targeted vibration mode, which is adjusted with a small step, and analyzes the signal obtained after measurements. By effectively varying the excitation frequency, the technique enables the extraction of precise natural frequencies. Experimental validation is conducted on a beam with fixed-fixed boundary conditions. It demonstrated significant enhancement in modal identification accuracy compared to impulsive excitation methods. The results indicate that the IFET significantly improves frequency readability, making it a robust tool for vibration analysis applications, including structural health monitoring.