船用多轴齿轮传动过程耦合非线性振动特性分析  

Analysis of coupled nonlinear vibration characteristics of marine multi shaft gear transmission process

作　　者：赵红美[1] 杨桂娟[1] ZHAO Hong-mei;YANG Gui-juan(Tangshan Industrial Vocational Technical College,Tangshang 063020,China)

机构地区：[1]唐山工业职业技术学院,河北唐山063020

出　　处：《舰船科学技术》2021年第18期22-24,共3页Ship Science and Technology

摘　　要：船用多轴齿轮故障识别以振动特性作为判定依据,为提高后期故障识别质量,提出基于改进EEMD算法的船用多轴齿轮传动过程耦合非线性振动特性分析方法。该研究分为两部分,前一部分利用谐振传感器采集多轴齿轮振动信号;后一部分利用改进EEMD算法(集合经验模态分解算法)分解多轴齿轮振动信号,得到若干个包含故障特性频率的IMF向量,并计算每个IMF向量的奇异值熵,利用奇异值熵定量表示多轴齿轮振动特性。结果表明:正常状态下的船用多轴齿轮运行下,奇异值熵一般小于0.1,而一旦当齿轮发生故障,其奇异值熵就会大大增加,一般会超过0.1。The fault identification of marine multi shaft gear takes the vibration characteristics as the judgment basis.In order to improve the later fault identification quality,a coupled nonlinear vibration characteristic analysis method of marine multi shaft gear transmission process based on improved EEMD algorithm is proposed.The research is divided into two parts.In the first part,the vibration signal of multi shaft gear is collected by resonant sensor;In the latter part,the improved EEMD algorithm(set empirical mode decomposition algorithm)is used to decompose the vibration signals of multi shaft gears,several IMF vectors containing fault characteristic frequencies are obtained,the singular value entropy of each IMF vector is calculated,and the singular value entropy is used to quantitatively represent the vibration characteristics of multi shaft gears.The results show that under the normal operation of marine multi shaft gears,the singular value entropy is generally less than 0.1,and once the gear fails,the singular value entropy will increase greatly,generally more than 0.1.

关 键 词：船用多轴齿轮 振动特性 EEMD算法 奇异值熵 振动信号采集 

分 类 号：TP215.3[自动化与计算机技术—检测技术与自动化装置]