基于BSS与SBA的行星轮系损伤建模与故障分析

发布时间：2018-06-30 06:20

本文选题：行星轮系 + 动力学模型　；参考：《广州大学》2017年硕士论文

【摘要】：行星轮系是机械传动中常见的传动装置,由于其自身独特的结构与功能特点,广泛应用于机械设备中。但由于其工作环境的复杂性与工况的时变性,行星轮系经常发生故障,以至于整个设备运行出现故障,造成巨大的经济损失。为此,本论文对行星轮系进行损伤建模与故障分析研究。本课题的主要研究内容包括三个部分:一、根据行星轮系的结构与功能特点对其进行简化,建立动力学模型。结合所研究行星轮系具体的结构参数等,建立其具体动力学微分方程,并利用MATLAB求解,求得其扭振周期与扭振频率;二、根据行星齿轮不同的故障类型——分布式故障与局部故障,研究了啮合点处振动信号模型、行星轮通过效应、传递路径对测试信号的影响等。利用ANSYS对断齿行星齿轮与裂纹行星齿轮进行有限元模态分析,通过对不同故障程度的行星齿轮进行模态分析,研究其变形机理,求得行星齿轮固有频率与损伤程度的递变关系;三、对行星轮系进行故障诊断。根据行星轮系在机械设备中的传动特点,设计搭建行星轮系故障诊断模拟试验台,利用Lab VIEW虚拟仪器设计振动信号采集软件系统与算法处理系统。在此基础上进行行星轮系故障模拟试验,进而利用基于Huber-M改进的Fast ICA BSS算法对所采集到的振动信号进行分离。利用编写的算法求得边带指数SI、相对谐波边带指relHSI、边带能量比SER等SBA指标的具体数值,通过与正常无故障情况下所求得的具体数值进行比较,诊断其故障类型与故障程度。课题研究表明,通过建立与分析行星轮系动力学模型,有助于从动力学的角度去理解其故障机理;对行星齿轮进行有限元模态分析有助于更直观的理解其故障变形机理,并有效探讨了故障存在时其固有频率与故障程度的递变关系;利用改进的BSS算法处理振动信号能更加快速、精确的分离出目标信号,利用SBA指标实现了对行星轮系的故障诊断。本课题采用理论与试验相结合的方式开展研究,具有一定的科学性与可行性,且研究结果表明本课题的研究对行星轮系的故障诊断具有一定的参考实用价值。
[Abstract]:Planetary gear train is a common transmission device in mechanical transmission. It is widely used in mechanical equipment because of its unique structure and function. However, due to the complexity of the working environment and the time-varying working conditions, the planetary gear train often fails, which leads to the failure of the whole equipment, resulting in huge economic losses. Therefore, the damage modeling and fault analysis of planetary gear train are studied in this paper. The main contents of this thesis include three parts: firstly, according to the structure and function of planetary gear train, the dynamic model is established. Combined with the specific structural parameters of the planetary gear train studied in this paper, the specific dynamic differential equations are established, and the torsional vibration period and frequency are obtained by using MATLAB. According to the different fault types of planetary gear, distributed fault and local fault, the vibration signal model at meshing point, the passing effect of planetary gear and the influence of transmission path on test signal are studied. The finite element modal analysis of broken gear and cracked planetary gear is carried out by ANSYS. Through modal analysis of planetary gear with different fault degree, the deformation mechanism of planetary gear is studied, and the relationship between natural frequency and damage degree of planetary gear is obtained. Third, fault diagnosis of planetary gear train. According to the transmission characteristics of planetary gear train in mechanical equipment, the fault diagnosis simulation test bed of planetary gear train is designed and built, and the vibration signal acquisition software system and algorithm processing system are designed by using LabVIEW virtual instrument. On this basis, the fault simulation test of planetary gear train is carried out, and the vibration signals are separated by using the improved Fast ICA BSS algorithm based on Huber-M. The SBA indexes such as sideband index SI, relative harmonic sideband finger relHSI, sideband energy ratio SER and so on are obtained by using the algorithm, and the fault types and fault degree are diagnosed by comparing them with those obtained under normal non-fault condition. The research shows that establishing and analyzing the dynamic model of planetary gear train is helpful to understand the fault mechanism of planetary gear train from the angle of dynamics, and the finite element modal analysis of planetary gear is helpful to understand the mechanism of fault deformation more intuitively. The relationship between the natural frequency and the degree of fault is discussed effectively, and the improved BSS algorithm is used to process the vibration signal more quickly and accurately, and the fault diagnosis of the planetary gear train is realized by using the SBA index. The research is carried out by the combination of theory and experiment, which is scientific and feasible, and the research results show that the research of this topic has certain reference practical value to the fault diagnosis of planetary gear train.
【学位授予单位】：广州大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TH132.425

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