Analysis of braking noise and vibration measurements by time—frequency approaches

Abstract

This paper presents an analysis of braking noise and vibration measurements using the short-time Fourier transform (STFT), Morlet wavelet transform (WT) and Wigner±Ville distribution (WVD). These time±frequency analysis tools are described and applied successively to a simulated signal and to experimental measurements performed during a braking test. Particular attention is paid to the dependence on rotational speed, and on the correlation between noise, vibration measurements and other physical parameters.

Metrology and Measurement Systems

“…The development of the ZAM "cone kernel" was intended to introduce finite time support and reduce cross-terms [21]. The kernel equation is defined in equation (2).…”

“…The non-stationary signals are properly treated by the time-frequency domain analysis [1]. Short-time Fourier transform (STFT), wavelet transform (WT) and Wigner-Ville distribution (WVD) are commonly used to convert the non-stationary signals into a time-frequency domain [2,3]. Urbanek et al [4] compared the effectiveness of various frequency domain-based signal processing techniques for detecting the faults in a roller bearing.…”

Research on vibration suppression method of alternating current motor based on fractional order control strategy

“…Vibration and noise are a common phenomenon in nature and engineering, especially for the vibration of rotating machinery and industrial noise, so they have been concerned by the scientific researchers and technical engineers. [1][2][3] Alternating current (AC) motor is the most widely used rotating machinery in the life. It takes on simple structure and high reliability.…”