Abstract:

Planetary gearbox is widely used in many fields due to its robustness and high power-weight ratio, but implementation of fault diagnosis on it is challenging. This paper proposes a new fault diagnosis method for planetary gearbox based on empirical mode decomposition (EMD) and adaptive multi-scale morphological gradient filter (AMMGF). The proposed method has two dominant strengths: it can be applied to non-linear and non-stationary signal, and it can achieve the goal of de-noising. The framework of the proposed method is introduced first. Experimental data acquired from a planetary gearbox test-rig is then utilized to validate effectiveness of the proposed method. The method is demonstrated to have good performance on both extracting faults characteristic frequency and de-noising.