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A Novel Solution for the Coupled Faults Isolation in Gear Pairs Using the Conception of Frequency Tracking

机译:基于频率跟踪概念的齿轮对耦合故障隔离的新解决方案

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摘要

In engineering practice, there is always evidence for the existence of multiply faults in the gear meshing pairs. Different failures often occur simultaneously and thus increase the complexity of fault diagnosis. A literature review indicates that very limited work has been done to address the coupled faults isolation for gear pairs. To solve this issue, this work presents a novel approach to detect coupled faults of gear pairs using a conception of Frequency Tracking. The independent component analysis with reference (ICA-R) has been employed as the fault frequency tracking tool to extract critical frequency sources from multi-channel sensors. The frequency tracking scheme uses the prior knowledge of the gear rotational frequencies to construct suitable reference signals to incorporate into the ICA-R. Then the intrinsic frequency sources excited by every failure can be separated one by one. Hence, the coupled faults are simplified into single fault isolation problem. The experimental tests were carried out to evaluate the performance of the proposed approach. The test results show satisfactory isolation of coupled gear faults.
机译:在工程实践中,始终有证据表明齿轮啮合副中存在多重故障。不同的故障通常同时发生,因此增加了故障诊断的复杂性。文献综述表明,为解决齿轮副耦合故障隔离问题所做的工作非常有限。为了解决这个问题,这项工作提出了一种新颖的方法,即使用频率跟踪的概念来检测齿轮对的耦合故障。参考信号的独立分量分析(ICA-R)已被用作故障频率跟踪工具,以从多通道传感器中提取关键频率源。频率跟踪方案使用齿轮旋转频率的先验知识来构建适当的参考信号,以将其合并到ICA-R中。然后,可以将每次故障激发的固有频率源一一分开。因此,耦合故障简化为单个故障隔离问题。进行了实验测试以评估所提出方法的性能。测试结果表明,齿轮耦合故障得到了令人满意的隔离。

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