Kang Ding

TL;DR: Based on sparse representation theories, a new approach for fault diagnosis of rolling element bearing is proposed in this article, where the over-complete dictionary is constructed by the unit impulse response function of damped second-order system, whose natural frequencies and relative damping ratios are directly identified from the fault signal by correlation filtering method.

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, a novel order tracking method based on discrete spectrum correction technique is proposed to analyze wind turbine gearbox vibration for the purposes of health monitoring and fault diagnosis, and the results show that the shaft rotating speed could be accurately identified from the vibration signal together with amplitudes of significant gear meshing components.

TL;DR: In this paper, the authors proposed a new approach based on auxiliary mass spatial probing using spectral centre correction method (SCCM), to provide a simple solution for damage detection by just using the response time history of beam-like structures.

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.