多稳态匹配随机共振在机械早期故障特征提取中的应用  

Multistable matching stochastic resonance with its application to mechanical incipient fault characteristic extraction

作　　者：谯自健 陈帅 马莉[5] 赖志慧 刘健 许学方 梅一丹 QIAO Zijian;CHEN Shuai;MA Li;LAI Zhihui;LIU Jian;XU Xuefang;MEI Yidan(School of Mechanical Engineering and Mechanics,Ningbo University,Ningbo 315211,China;State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure,East China Jiaotong University,Nanchang 330013,China;Yangjiang Research Center Advanced Energy Science and Technology Guangdong Laboratory(Yangjiang Offshore Wind Power Laboratory),Yangjiang 529500,China;Zhejiang Provincial Key Laboratory of Part Rolling Technology,Ningbo 315211,China;School of Energy and Control Engineering,Changji College,Changji 831100,China;College of Mechatronics and Control Engineering,Shenzhen University,Shenzhen 518060,China;College of Information Engineering,Nanjing University of Finance and Economics,Nanjing 210023,China;School of Electrical Engineering,Yanshan University,Qinhuangdao 066004,China;CATARC-NB,Ningbo 315104,China)

机构地区：[1]宁波大学机械工程与力学学院,浙江宁波315211 [2]华东交通大学轨道交通基础设施性能监测与保障国家重点实验室,南昌330013 [3]阳江海上风电实验室(先进能源科学与技术广东省实验室阳江分中心),广东阳江529500 [4]浙江省零件轧制成形技术研究重点实验室,浙江宁波315211 [5]昌吉学院能源与控制工程学院,新疆昌吉831100 [6]深圳大学机电与控制工程学院,广东深圳518060 [7]南京财经大学信息工程学院,南京210023 [8]燕山大学电气工程学院,河北秦皇岛066004 [9]中汽研汽车零部件检验中心(宁波)有限公司,浙江宁波315104

出　　处：《振动与冲击》2023年第11期87-95,共9页Journal of Vibration and Shock

基　　金：华东交通大学轨道交通基础设施性能监测与保障国家重点实验室开放课题(HJGZ2021114);阳江海上风电实验室联合基金(YJOFWD-OF-2022A08);浙江省自然科学基金(LQ22E050003);宁波市重点研发计划项目(2022Z120,2023Z175,2022Z110);河北省自然科学基金(E2022203093);广东省基础与应用基础研究基金(2022A1515010126,2020A1515011509);国家自然科学基金(51905349,62001210,U2013603);浙江省大学生科技创新活动计划暨新苗人才计划项目(2022R405C094);宁波市自然科学基金(2022J132);秦皇岛市科学技术研究与发展计划(202101A345);国家自然科学基金(52205569);山东省科技型中小企业创新能力提升工程项目(2022TSGC2364);浙江省市场监督管理局雏鹰计划培育项目(CY2023328)。

摘　　要：传统单稳态或双稳态随机共振方法的势函数稳态结构单一,难以匹配复杂多变的输入信号;固定尺度因子忽略了与势结构、输入信号之间的协同增强作用;且一阶系统易遭受低频噪声干扰,依赖高通滤波器辅助。因此,提出自适应二阶多稳态匹配随机共振方法,并应用于机械早期故障的微弱特征提取。该方法的优势在于:①多稳态势结构的多样性可与不同的输入信号实现有效匹配;②能实现输入信号、势结构、尺度因子三者之间的协同作用;③二阶多稳态随机共振能够抑制低频噪声干扰。仿真分析和机车轴承故障诊断案例表明:提出的方法相比单稳态和双稳态随机共振方法具有更强的微弱特征增强与提取能力。It is difficult for traditional monostable and bistable stochastic resonance(SR)methods to match with complicated and variable input signals due to the single stable structure of the potential function.Moreover,the scaling factor is generally fixed as a constant,thereby neglecting the synergistic effect among the potential structure,input signal and scaling factor.In addition,since traditional SR methods are based on first-order model,which easily suffer from the noise interference in the low frequency,so the performances strongly depend on the help of highpass filter.Therefore,an adaptive second-order multistable matching SR method was proposed to extract weak characteristics in mechanical incipient faults.The method has three advantages:the diversity of multistable potential structure is able to achieve the adaptive matching with different input signals;the optimal synergistic effect among input signal,potential structure and scaling factor is obtained;and second-order multistable SR is able to suppress the noise interference in the low frequency.Finally,the proposed method was validated using simulated and experimental data.The results show that the proposed method is able to extract weak characteristics from the original vibration signals,and possess stronger enhancment performance than the traditional methods.

关 键 词：多稳态随机共振 微弱特征提取 机械早期故障诊断 

分 类 号：TH17[机械工程—机械制造及自动化]