首页|基于RACS-TFODF自适应随机共振系统的轴承故障诊断应用

基于RACS-TFODF自适应随机共振系统的轴承故障诊断应用

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针对传统随机共振系统(Stochastic resonance,SR)的参数选择和未考虑历史信息影响随机共振效果的问题,提出一种基于改进布谷鸟算法(Ranking-based Adaptive Cuckoo Search,RACS)的自适应改进势模型随机共振方法.首先,对大参数信号进行移频尺度变换处理,使其满足SR的绝热近似理论要求;其次,提出一种时延分数阶偏置非线性过阻尼随机共振系统(Time-delayed Overdamped Stochastic Resonance System with Fractional Deflection Nonlinearity,TFODF-SR),并研究势模型参数对随机共振效果的影响;进而利用以信噪比作为评价函数的RACS算法自适应确定随机共振系统的结构参数;最后经过时、频域分析提取出滚动轴承故障特征.通过仿真与实测实验分析对所提出方法相比于传统SR系统及没有引入时延反馈项的ODF系统(Overdamped System with Fractional Deflection Nonlinearity,ODF)在滚动轴承故障提取上的有效性和优越性进行验证.
Bearings Fault Diagnosis of Adaptive Stochastic Resonance Based on RACS-TFODF
Aiming at the problem in the parameter selection of the traditional stochastic resonance(SR)without consid-ering the effect of historical information on stochastic resonance,an adaptive improved potential model stochastic resonance method based on ranking-based adaptive cuckoo search algorithm(RACS)is proposed.Firstly,the large parameter signal is processed by frequency shift scaling to meet the requirements of adiabatic approximation theory of SR.Then,a time-delayed overdamped stochastic resonance system with fractional deflection nonlinearity(TFODF-SR)is proposed and the result of potential model parameters effect on stochastic resonance is analyzed.With the signal-to-noise ratio(SNR)as the evaluation function,the RACS algorithm is used to optimize the structural parameters of the SR system.The simulation and experimen-tal results verify the effectiveness and superiority of the proposed method in rolling bearing fault extraction compared with the results of the classic SR system and the ODF system without time-delay feedback.

fault diagnosisfeature extractionRACS algorithmstochastic resonance

蔡丹娜、吴科伟、向丹、封远鹏、徐毓贤、蒋占四

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桂林电子科技大学 机电工程学院,广西 桂林 541004

广州航海学院 船舶与海洋工程学院,广州 510725

故障诊断 特征提取 RACS算法 随机共振

国家自然科学基金资助项目国家自然科学基金资助项目广西壮族自治区研究生创新资助项目广州市教育局高校科研资助项目广东省普通高校重点资助专项桂林电子科技大学研究生教育创新计划资助项目

5156500851965013YC-SW20211872022346072020ZDZX20022023YCXS017

2024

10.3969/j.issn.1006-1355.2024.04.021

噪声与振动控制
中国声学学会

噪声与振动控制

CSTPCD北大核心
影响因子：0.622
ISSN：1006-1355
年,卷(期)：2024.44(4)
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