USING HILBERT-HUANG TRANSFORM FOR GEARBOX FAULT DIAGNOSIS UNDER LIGHT LOADING CONDITIONS

摘要

Successful applications of Hilbert-Huang transform to gearbox fault diagnosis have been reported in the literature. However, when the gear transmission system operates under light loading conditions, due to low signal-to-noise ratio, Hilbert-Huang transform itself may fail to detect the gear fault. In order to address this problem, a scheme, which combining the empirical mode decomposition and the wavelet de-noising technique for gear fault detection under light loading conditions is proposed. A methodology for extracting condition indicators using Hilbert-Huang transform is also presented. Real vibration signal collected from a gearbox with one driving gear fault is used to evaluate the effectiveness of the proposed methodology.