首页> 外文期刊>Fluctuation and Noise Letters: FNL: An Interdisciplinary Scientific Journal on Random Processes in Physical, Biological and Technological Systems >Cascaded Nonlinear Mass Fluctuation Stochastic Resonance System and Its Application in Bearing Fault Diagnosis
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Cascaded Nonlinear Mass Fluctuation Stochastic Resonance System and Its Application in Bearing Fault Diagnosis

机译:级联非线性质量波动随机共振系统及其在轴承故障诊断中的应用

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摘要

Stochastic resonance (SR) can realize bearing fault signal diagnosis by transferring noisy energy. In order to enhance the output response of the system and realize effective signal extraction, the nonlinear mass fluctuation SR system caused by nonlinear asymmetric dichotomous noise is cascaded to obtain the cascaded nonlinear mass fluctuation SR system. First, the output amplitude gain of the first-stage of the system is derived, and the influence of different parameters on it is explored; then the effects of different parameters of the cascaded system on the output amplitude gain and the output SNR are studied separately, which proves that the cascaded system can effectively double enhance the output response of the system; finally, the adaptive genetic algorithm is used to solve the difficulty of parameter adjustment, and the cascaded nonlinear mass fluctuation SR system is applied to the bearing fault diagnosis. The system proposed in this paper takes into account the effects of nonlinear asymmetric dichotomous noise and cascaded systems and performs waveform smoothing and double enhancement of the output signal. It can better extract fault signals and has effective engineering value.
机译:随机共振(SR)可以通过传递噪声能量来实现轴承故障信号的诊断。为了增强系统的输出响应,实现有效的信号提取,将非线性非对称二分噪声引起的非线性质量波动SR系统级联得到级联非线性质量波动SR系统。首先,推导了系统第一级的输出幅值增益,并探讨了不同参数对其的影响;然后分别研究了级联系统不同参数对输出幅值增益和输出信噪比的影响,证明级联系统能够有效加倍增强系统的输出响应;最后,采用自适应遗传算法解决参数调整难问题,将级联非线性质量波动SR系统应用于轴承故障诊断。该文提出的系统考虑了非线性非对称二分噪声和级联系统的影响,对输出信号进行波形平滑和双重增强。能较好地提取故障信号,具有有效的工程价值。

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