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作 者:李伟 陈剑[1,2] 陶善勇 LI Wei;CHEN Jian;TAO Shan-yong(Institute of Noise and Vibration Engineering,Hefei University of Technology,Hefei 230009,China;Automotive NVH Engineering&Technology Research Center of Anhui Province,Hefei 230009,China)
机构地区:[1]合肥工业大学噪声振动工程研究所,合肥230009 [2]安徽省汽车NVH工程技术研究中心,合肥230009
出 处:《吉林大学学报(工学版)》2021年第3期1091-1096,共6页Journal of Jilin University:Engineering and Technology Edition
基 金:安徽省科技重大专项项目(17030901049)。
摘 要:在单一周期势系统的基础上,提出了一种随机共振粒子群优化算法,用于增强和提取滚动轴承微弱故障特征。该方法采用粒子群优化算法实现自适应耦合周期势系统的系统参数、耦合系数和步长的自适应匹配,以达到增强目标信号、提高其信噪比的目的。通过工程试验验证结果表明:(1)由于耦合系统的作用,控制系统通过调节参数来影响被控系统的随机共振,从而使得自适应耦合周期势系统随机共振方法在微弱故障特征信号增强上更优于单一周期势系统随机共振方法;(2)由于控制系统随机共振与被控系统随机共振的相互协同作用,大大增强了被控系统的随机共振效应,从而使得自适应双输入耦合周期势系统随机共振方法比单输入耦合周期势系统随机共振方法更适用于工程实际中噪声环境下微弱故障特征信号的提取。Based on the single periodic potential system,a new method of stochastic resonance signal enhancement for coupled periodic potential systems was proposed.The method uses particle swarm optimization to achieve adaptive matching of system parameters,coupling coefficients and step sizes.Using this method the targeting signal and the signal-noice-ratio can be enhanced.Experiments are carried out to verify the ne method.The results show that due to the function of the coupling system,the control system affects the stochastic resonance of the controlled system by adjusting the parameters,so that the adaptive coupling periodic potential system stochastic resonance method performs better than the adaptive first-order periodic potential system stochastic resonance method in the enhancement of weak fault characteristic signal.Due to the synergy between the stochastic resonance of the control system and the stochastic resonance of the controlled system,the stochastic resonance effect of the controlled system is greatly enhanced.Therefore,the adaptive double-input coupling periodic potential system stochastic resonance method is more suitable for the extraction of weak fault characteristic signals in the noise environment than the adaptive single-input coupled periodic potential system stochastic resonance method.
关 键 词:信号处理 周期势函数 耦合系统 故障诊断 信噪比 自适应
分 类 号:TN911.7[电子电信—通信与信息系统]
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