作者:邹方豪， 张 涵， 孟 良， 许同乐， 苏元浩
Authors:ZOU Fang-hao, ZHANG Han, MENG Liang, XU Tong-le, SU Yuan-hao摘要:摘 要:为了研究已有最优基选择算法在微弱故障信号降噪方面效果差以及终端节点不易确定的问题，依据蚁群算法和小波包的相关理论，分析了小波包基选取的影响因素，对选取规则进行了重新定义，并结合蚁群算法的全局优化能力对新定义的终端节点坐标集和分解层数寻优，给出了一种基于蚁群算法的小波包基优选方法。对比传统最优基选择算法，新方法的收敛性能及分布性能加强了12.5%，在轴承的微弱故障信号降噪过程中，经处理后的信号信噪比提高了46.7%，均方根误差降低了20.4%，验证了新方法的有效性和优越性。
Abstract:Abstract:In order to study the poor effect of the existing best basis selection algorithm in reducing the noise of weak fault signals and the difficulty of determining the terminal node, according to the ant colony algorithm and wavelet packet related theories, the factors affecting the selection of the wavelet packet basis are analyzed, and the selection rules are analyzed.After redefining and combining the global optimization ability of ant colony algorithm to optimize the newly defined terminal node coordinate set and decomposition level, a wavelet packet basis optimization method based on ant colony algorithm is given.Compared with the traditional best basis selection algorithm, the convergence performance and distribution performance of the new method are enhanced by 12.5%. In the process of reducing the noise of the weak fault signal of the bearing, the signal-to-noise ratio after processing is increased by 46.7%, and the root mean square error is reduced by 20.4%, verifying the effectiveness and superiority of the new method.

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