A Detecting Method for “Weak” Friction-Induced Vibration Based on Cross-Correlation Analysis between Vibration and Sound Signals

Abstract

The “weak” friction-induced vibration can help to monitor the change in friction and wear state of friction pairs and detect the failure of surface damage. However, they are typically submerged in complex interference components during friction. Therefore, detecting accurate “weak” friction-induced vibration is key to using it entirely. A method based on the correlation between friction-induced vibration and sound signals was proposed to achieve this goal. The ball–disk wear experiments were conducted under oil lubrication using a wear tester. Vibration and sound pressure signals generated during the experiments were recorded. By the spectrum analysis of the cross-correlation function calculated from the two types of signals, the “weak” FIV components submerged in the original signals were detected. The experimental results showed that the root mean square change of the “weak” friction-induced vibration detected in the vibration and sound pressure signals was highly consistent with the friction coefficient change. It could effectively characterize the transition of the wear stage from running-in to stable wear of the friction pairs. Therefore, the cross-correlation analysis of vibration and sound signals could be a reliable tool for detecting the “weak” friction-induced vibration.

Recurrence Rate spectrograms for the classification of nonlinear and noisy signals

“…Signature signals of e.g. faulty roll bearings [10] or friction parts [64] may be characterized in a test setup and then detected during active machine operation. Another applicable research field is acoustic source localization in anisotropic materials, which often faces the challenge of time difference of arrival measurements at nearby sensors.…”