Abstract
Feature extraction from dynamic response characteristics of the machinery serves as an index for quantifying its health status. Vibration response analysis based on the spectral distribution of gear-mesh frequency is the industrial norm for gearbox fault detection. Investigations based on the efficacy of other responses, such as sound generated by the gearbox, are limited. The air pressure induced around the vicinity of the machinery may also indicate the health status. This paper studies the applicability of sound pressure signals as the basis for gear fault detection. The paper also investigates the efficacy of combined sound and vibration analysis for fault detection. The fault detection ability of the above-mentioned single-signal analysis and combined-signal analysis are compared with traditional vibration signal analysis. Variational Mode Decomposition and Multivariate Variational Mode Decomposition are used to extract noise-free signals centred around the required centre frequency in the case of single-signal analysis and a combined signal analysis, respectively. The study is conducted on an in-house test rig with a seeded gear tooth fault.
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