简介:摘要:滚动轴承是机械中最重要的零部件之一,因其所处工况恶劣常常会发生故障影响整个设备的性能,所以需要对其健康状态进行监测诊断。由于实际工况中速度常常处于波动状态,变转速下的故障诊断方法近年来成为众多学者研究的热点。阶次跟踪方法将时域信号变换到角域能够有效的消除速度波动被广泛运用与滚动轴承故障诊断当中,但是对于复合故障往往表现不佳,并且由于传感器的安装限制进一步增加了变转速工况下滚动轴承复合故障诊断的难度。为了克服上述难题,本文提出一种基于角域经验模态分解的变转速滚动轴承复合故障诊断方法,通过结合阶次跟踪方法与经验模态分解将单通道的时域信号转换为多通道的角域信号,再通过独立成分分析实现多故障的精确诊断。
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