Abstract

Comparing the amplitude and phase modulations of the gear meshing vibration can help detecting the weak gear local defects such as fatigue cracks. As for a planet gear operating in a wind turbine (WT) planetary gearbox, however, the vibration from the stage of the fixed-axis gearbox will act as a strong interruption towards the crack fault detection in both time and frequency domain. As such, a new algorithm based on the principles of the meshing resonance (MR) demodulation is proposed to address this issue. This method consists of four main steps: (a) signal decomposing via arborescent filter-bank—this together with the meshing index lead to the MRgram with prominent planet gear MR frequency area, (b) determination of the optimal planet gear MR frequency band from the MRgram and the raw spectrum using a bilateral expansion method, (c) highlighting of the planet gear related vibration via the optimal planet gear MR frequency band based bandpass filtering and the time synchronous averaging (TSA), (d) identification of the planet gear tooth root crack by comparing the corresponding amplitude and phase modulations. The effectiveness and superiority of the proposed algorithm are validated by the experimental vibration data from a WT planetary gearbox test rig.

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