主催: 一般社団法人 日本機械学会
会議名: IIP2024 情報・知能・精密機器部門講演会講演論文集
開催日: 2024/03/04 - 2024/03/05
Analysis methods for non-Gaussian stochastic processes are required for various applications in the areas of reliability analysis, signal processing, system identification, and so on. On the other hand, most of the conventional studies in terms of non-Gaussian random excitation have been limited to theoretical vibration response analysis, and non-Gaussian vibration experiments using actual systems are still in the developing stage. In this paper, a non-Gaussian random exciter using a waveform generation method based on the Cai and Lin model is developed, and the probability density shapes and power spectrum of the waveforms output from the actual shaker were evaluated. From the evaluation results, it was found that the developed experimental setup can output waveforms that accurately follow the given probability density function and power spectrum, confirming the basic operation as a non-Gaussian random exciter.