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将相关性分析方法和阈值降噪方法相结合,提出了一种基于蚁群算法的小波降噪双阈值优选方法.首先根据噪声的分布特点确定合理的寻优区间;然后根据信号和噪声的小波系数自相关系数的不同特点确定优化目标函数;最后利用蚁群算法在寻优区间内搜索最优上下阈值.仿真和压缩机振动故障检测的实际应用表明,该方法能够选择最优降噪阈值,有效去除噪声.
Combining the correlation analysis method with the threshold denoising method, a dual threshold optimization method based on ant colony algorithm is proposed, which is based on the ant colony algorithm. Firstly, a reasonable optimal interval is determined according to the distribution of noise. Then, The optimal objective function is determined by the different characteristics of the coefficient autocorrelation coefficient.At last, the optimal upper and lower thresholds are searched in the optimal interval using the ant colony algorithm.The practical application of the simulation and compressor vibration fault detection shows that this method can select the optimal noise reduction threshold, Effectively remove noise.