Weak Signal Detection Method Based on the Coupled Lorenz System and Its Application in Rolling Bearing Fault Diagnosis
Weak Signal Detection Method Based on the Coupled Lorenz System and Its Application in Rolling Bearing Fault Diagnosis
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DOI：
10.3390/app10124086
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发表时间：
2020-06
期刊：
影响因子：
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通讯作者：
Guozheng Li;Nanlin Tan;Xiang Li
中科院分区：
文献类型：
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作者：
Guozheng Li;Nanlin Tan;Xiang Li
滚动轴承广泛应用于旋转机械中。其故障特征信号往往淹没在强噪声中，难以识别。本文提出了一种结合洛伦兹耦合系统和功率谱技术的轴承故障诊断新方法。该过程通过以下三个步骤实现。首先，使用驱动响应方法构建基于洛伦兹系统的同步系统。其次，当被测信号连接到驱动端时，获得两个子混沌系统之间的同步误差。最后计算同步误差的功率谱密度并与相应的故障特征频率进行比较。耦合洛伦兹系统充分利用了混沌系统的抗噪性和非线性放大特性。通过仿真和实测振动数据验证了新方法的检测特性和可行性。结果表明，耦合洛伦兹系统的降噪效果明显。该方法可以提高测试信号的信噪比，为滚动轴承的故障诊断提供新的途径。
Rolling bearings are widely used in rotating machinery. Their fault feature signals are often submerged in strong noise and are difficult to identify. This paper presents a new method of bearing fault diagnosis that combines the coupled Lorenz system and power spectrum technology. The process is achieved in the following three steps. First, a synchronization system based on the Lorenz system is constructed using the driving-response method. Second, when the tested signal is connected to the driving end, the synchronization error between the two sub-chaotic systems is obtained. Finally, the power spectrum density of the synchronization error is calculated and compared with the corresponding fault characteristic frequency. The coupled Lorenz system makes full use of the noise immunity and nonlinear amplification of the chaotic system. The detection characteristics and feasibility of the new method are verified by simulation and actual measured vibration data. The result shows that the noise reduction effect of the coupled Lorenz system is obvious. This method can improve the signal-to-noise ratio of the tested signal and provide a new way to perform fault diagnosis of rolling bearings.