%0 Journal Article
%T 二阶系统普通变尺度随机共振及轴承故障诊断<br>General Scale Transformation Stochastic Resonance of the Second-Order System and Bearing Fault Diagnosis
%A 黄大文
%A 杨建华
%A 唐超权
%A 张景玲
%A 刘后广
%J 振动.测试与诊断
%D 2018
%R 10.16450/j.cnki.issn.1004-6801.2018.06.028
%X 针对传统随机共振方法难以实现系统最优输出的问题，提出了基于二阶欠阻尼和一阶过阻尼双稳态系统的普通变尺度随机共振方法，利用量子粒子群优化算法实现了自适应随机共振，提高了轴承故障诊断效率。基于数值模拟讨论了时间尺度、阻尼因子、噪声强度和系统参数对输出信噪比的影响。应用提出的方法对两组轴承故障振动信号进行了分析。结果表明，二阶欠阻尼系统普通变尺度自适应随机共振对微弱故障信号的检测效果优于一阶过阻尼系统普通变尺度自适应随机共振，且二阶欠阻尼系统对噪声的抑制和利用能力更强，故障频率处的幅值明显增大，提高了输出信噪比，在轴承故障诊断应用中具有优越性。<br>In view of the traditional stochastic resonance (SR) method is difficult to achieve the optimal output, the methods of general scale transformation are proposed based on the second-order underdamped and first-order overdamped bistable system. The adaptive SR of the two methods is realized by using quantum particle swarm optimization algorithm, and the fault diagnosis efficiency is improved. The influences of time scale, damping factor，noise intensity and system parameters on the output signal-to-noise ratio (SNR) are discussed based on the numerical simulation. The proposed method is used to analyze two vibration signals of bearing faults. The results show that the second-order general scale transformation adaptive SR method is superior to the first-order general scale transformation adaptive SR in the detection of the weak fault signal. In addition, the second-order underdamped system has a strong ability to suppress and utilize noise, and the amplitude of fault frequency is obviously enhanced. Meanwhile, the output SNR is improved. The results indicate that the second-order general scale transformation adaptive SR method can improve the detection efficiency of the bearing fault signal and extract successfully the weak fault characteristics. The proposed method has obvious superiority in bearing fault detection.
%K 滚动轴承
%K 参数优化
%K 故障诊断
%K 普通变尺度
%K 自适应随机共振&lt
%K br&gt
%K rolling bearing
%K parameter optimization
%K fault diagnosis
%K general scale transformation
%K adaptive stochastic resonance
%U http://zdcs.nuaa.edu.cn/ch/reader/view_abstract.aspx?file_no=201806028&flag=1