Spectral moment segmentation and spectrogram synthesis for simulation of road vehicle vibrations. (15th November 2022)

• Record Type: Journal Article
• Authors: Hári, László Róbert
• Is Part Of: Mechanical systems and signal processing. Volume 180(2022)
• Publication Date: 2022-11-15
• Subjects: Non-stationary simulation -- Random vibration testing -- Road vehicle vibration -- Spectrogram synthesis; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2022.109408
• Languages: English
• ISSNs: 0888-3270

Abstract

Highlights: Time–frequency domain segmented by spectral moments. Segment length and segment RMS joint probability space used. Fourier coefficients modeled per frequency bin of each segment. Arbitrary distinctive time–frequency domain simulated from arbitrary measurements. Abstract: Vibration testing procedures relying solely on a Fourier profile can introduce only stationary random vibrations. It is in contrast with the non-stationary and non-Gaussian nature of the Road vehicle vibrations (RVV). The following procedure segments the first four spectral moments of the time–frequency domain of RVV, constructs probability density arrays per frequency bins, and perform simulations according to random segment lengths and -root mean squares, yielding more realistic representations of RVV. The distribution of time- and frequency domain moments and normalized spectral entropies are confronted. The Probability-based spectrogram synthesis (PBSS) offers a data-driven stochastic modelling framework for simulating non-stationary RVV.