基于Morlet小波的时频图在齿轮断齿故障诊断中的应用  

Application of the Morlet wavelet time-frequency diagram in the diagnosis of broken teeth fault of gear

作　　者：严作堂[1] 陈宏[2] 

机构地区：[1]郑州机械研究所,河南郑州450052 [2]郑州大学机械工程学院,河南郑州450001

出　　处：《机械研究与应用》2012年第4期46-47,50,共3页Mechanical Research & Application

基　　金：河南省教育厅自然科学研究计划(2010B460014);河南省高等学校青年骨干教师资助项目(2010);河南省机械设计及传动系统重点实验室(KFJZ200702)

摘　　要：齿轮传动系统振动信号带有明显的非平稳性,齿轮断齿故障使非平稳特征更加明显,并伴有明显的脉冲冲击特性。利用小波分析处理非平稳的优势,结合齿轮传动系统的振动特性和Morlet小波能够处理脉冲信号的特点,建立了基于Morlet小波的时频分析方法,通过对某齿轮增速箱齿轮断齿故障的诊断,证明本方法不但能够准确诊断出断齿故障,而且能够评估断齿数量,较好地弥补了传统频谱分析的不足。研究结果对于齿轮断齿等具有脉冲信号特征的故障诊断具有一定的指导意义。The vibration signals in gearing system are obviously nonstationary, and it is more obvious when there is the broken teeth fault in gear and there is also the characteristic of impulse signal. According to the nonstationarity and nonlinearity of the broken teeth fault of gear and characteristics of Morlet wavelet, the time-frequency analysis is studied. The method is applied into the analysis on the gear fault signal of some works and the characters of the broken teeth fault are extracted, furthermore, the number of the broken teeth and their severity are forecast. The results show that the presented method is beneficial to the diagnosis of gear faults in field practice.

关 键 词：MORLET小波 断齿故障 故障诊断 时频分析 

分 类 号：O347.6[理学—固体力学] TH165.3[理学—力学]