Angular modeling of a rotating machine in non-stationary conditions: Application to monitoring bearing defects of wind turbines with instantaneous angular speed

摘要

This work has been developed within the framework of non-stationary rotating machinery surveillance with emphasis on the detection of rolling element bearing defects. The numerical models proposed in this paper are based on an "angular" approach which introduces explicitly the machine's free body rotation degrees of freedom allowing simulations in non-stationary operating conditions. In a previous work, a deep groove ball bearing model has been presented considering the rolling resistance phenomena, allowing to describe the angular speed variations due to the bearing dynamics, a phenomenon that has been detected experimentally. In this work, a classic gear mesh description together with the rolling element bearing defects model have been used to build a wind turbine virtual machine. The model is used as a device to test Instantaneous Angular Speed spectral indicators. (C) 2019 Elsevier Ltd. All rights reserved.