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作 者:李精明[1,2] 魏海军[2] 丁刚[2] LI Jingming WEI Haijun DING Gang(Marine Engineering College, Dalian Maritime University, Liaoning Dalian 116026, China Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China)
机构地区:[1]大连海事大学轮机工程学院,辽宁大连116026 [2]上海海事大学商船学院,上海201306
出 处:《润滑与密封》2017年第7期37-42,共6页Lubrication Engineering
基 金:国家高技术研究发展计划(863计划)(2013AA040203)
摘 要:为提取摩擦振动的特征信号和实现摩擦振动特征信号的表征,在摩擦磨损试验机上进行船用柴油机缸套-活塞环摩擦副摩擦磨损模拟试验,应用总体经验模式分解对缸套-活塞环摩擦副的非线性、非平稳的摩擦振动信号进行降噪,并应用多重分形对摩擦振动信号进行分析,得到多重分形谱图及其参数。研究结果表明,随着摩擦磨损试验的进行,缸套-活塞环摩擦副摩擦振动信号振幅分布多重分形谱和频率分布多重分形谱呈现一定的变化规律;多重分形谱图及其参数能够实现摩擦振动信号特征的表征,可以用于摩擦副摩擦振动状态的识别。For the purpose of extracting and characterizing the characteristic signal of frictional vibration, experiments of friction and wear of a piston ring against a cylinder in marine diesel engine were conducted on the friction and wear testing machine.The nonlinear and nonstationary frictional vibration signals were denoised by using ensemble empirical mode de- composition (EEMD).The frictional vibration signals were analyzed by utilizing the multifractal algorithm to derive the multifractal spectrum as well as its parameters.The results show that with the operation of friction and wear tests go on ,the amplitude distribution muhifractal spectrum and the frequency distribution multifractal spectrum of the frictional vibration signals present certain change rule.The frictional vibration signal can be characterized by the muhifractal spectrum as well as its parameters,indicating the method of frictional vibration signal recognition based on multifractal can be used for the state recognition of frictional vibration of friction pair.
分 类 号:TH117.1[机械工程—机械设计及理论]
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