二维非对称双稳随机共振系统及其在故障 诊断中的应用

针对非对称系统具有更强的信号放大能力,提出了一种新型二维非对称双稳随机共振(NTABSR)系统。首先,在绝热近似理论的前提下,对其输出信噪比进行了理论分析。并研究了各系统参数对于系统输出信噪比的影响,实验结果表明,在其他参数不变的情况下,通过改变非对称因子,可以使系统获得更高的输出信噪比。然后,将该系统应用于两种不同型号轴承的故障信号诊断中,通过自适应遗传算法对系统参数进行寻优后,得到检测结果。并将检测结果与二维对称双稳随机共振(TSBSR)系统进行了对比。最终,实验结果表明,NTABSR系统的性能优于TSBSR系统。这为该系统在后续理论分析与实际工程应用提供了良好的理论支撑与应用价值。

Two-dimensional asymmetric bi-stable stochastic resonance system and its application in fault diagnosis

The asymmetric system has stronger signal amplification ability. A new two-dimensional asymmetric bi-stable stochastic resonance(NTABSR) system is proposed. First, the theoretical analysis of the output signal-to-noise ratio(SNR) is implemented under the adiabatic approximation theory. The influence of each system parameter on the SNR of the system is analyzed. Experimental results show that the system can obtain higher output SNR by changing the asymmetry factor while other parameters remain fixed. Then, the system is applied to diagnose fault signals of two different bearings. The system parameters are optimized through the adaptive genetic algorithm, and the detection results are obtained. The final results show that the performance of the NTABSR system is better than that of the TSBSR system. This provides good theoretical support and application value for subsequent theoretical analysis and practical engineering.