Yongzhuo Li

TL;DR: A novel method is proposed to extract fault features from non-stationary vibration signals of gearboxes using the techniques of signal sparse decomposition and order tracking and an improved matching pursuit algorithm on segmental signal is designed to solve sparse coefficients and reconstruct steady- type fault components and impact-type fault components.

TL;DR: In this article, the frequency responses of a single-stage gear pair in healthy state and those suffering from different faults are analyzed based on the dynamic equations of the gear pair and some reasonable simplifications.

TL;DR: In this article, a mathematical model was developed to analyse the planetary gear train's vibration response, and the mechanism of vibration modulation sidebands was revealed, i.e., the modulation sideband is not caused by the meshing vibration itself, but by the testing method that sensors are fixed on the ring gear or gearbox casing.

TL;DR: Vibration signals of a single-stage planetary gear train and a wind turbine planetary gearbox show good frequency consistencies with the model-based signal, and comparison analyses effectively verify the correctness of the proposed model.

TL;DR: Comparative analyses with methods respectively based on matching pursuit and tunable Q-factor wavelet transform indicate that the proposed method is superior to the other two methods in calculation efficiency and anti-noise performance, especially when these two kinds of modulation components are completely coupled in some resonance bands.