Adaptive Frequency-Shifted and Re-Scaling Stochastic Resonance with Applications to Fault Diagnosis
Adaptive Frequency-Shifted and Re-Scaling Stochastic Resonance with Applications to Fault Diagnosis
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发表时间：
2009
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通讯作者：
He Zheng-jia
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作者：
He Zheng-jia
最佳系统参数选择的困难限制了频移和重标度随机共振(FRSR)的工程应用。提出了一种时域和频域指标自适应的FRSR方法,以谱峰最高的站点和过零距离的方差为目标函数,自适应地获得最优参数,无需预测目标信号的准确频率。一旦涉及FRSR,该方法就能够检测高频,而传统的随机共振方法则能够检测高频。谐振仅针对低频。故障诊断的仿真和工程应用表明了对强噪声下的微弱周期信号的处理能力。
The difficulty for selecting the best system parameters restricts engineering applications to frequency-shifted and re-scaling stochastic resonance(FRSR).An adaptive FRSR method with time-domain and frequency-domain indexes is developed,where the station of the highest spectral peak and the variance of the zero-crossing distance are chosen as the objective functions,and the optimal parameters are obtained adaptively without predicting the exact frequency of the target signal.Once FRSR is involved,the proposed method is able to detect high frequency,while the traditional stochastic resonance is only for low frequency.The simulation and engineering application on fault diagnosis indicate the ability for weak periodic signals buried in heavy noise.