LMD和时频熵在行星齿轮箱状态监测中的应用  

Application of Local Mean Decomposition and Time-frequency Entropy to Condition Monitoring of Planetary Gearboxes

作　　者：丁闯[1] 江鹏程[1] 张兵志[1] 冯辅周[1] DIND Chuang;JIANG Peng-cheng;ZHANG Bing-zhi;FENG Fu-zhou(Department of Mechanical Engineering, Academy of Armored Force Engineering,Beijing 100072, China)

机构地区：[1]装甲兵工程学院机械工程系,北京100072

出　　处：《噪声与振动控制》2016年第6期154-157,185,共5页Noise and Vibration Control

基　　金：国家自然科学基金资助项目(51205407)

摘　　要：随着行星齿轮传动在军用飞机、新型装甲装备及自行火炮中的广泛应用,研究行星齿轮箱的状态监测方法意义重大。以行星齿轮箱为研究对象,提出一种基于局部均值分解和时频熵的行星齿轮箱状态监测方法。首先利用局部均值分解方法自适应地将振动信号分解成若干个具有物理意义的乘积函数之和,然后对分解得到的各乘积函数进行Hilbert变换,得到信号的时频分布,最后使用时频熵算法计算行星齿轮箱不同运行状态的熵值,以此作为判断行星齿轮箱运行状态的依据。分析结果表明,局部均值分解和时频熵方法对于行星齿轮箱的状态监测非常有效。As planetary gearboxes are widely used in military aircraft, armored equipment and self- propelled guns,research on the method of condition monitoring of planetary gearboxes is of great significance. In this paper, a method for condition monitoring of planetary gearboxes is proposed based on local mean decomposition (LMD) and time- frequency entropy. First of all, the vibrating signal is adaptively decomposed into a series of product functions (PF) by LMD. Then,Hilbert transformation is applied to each PF to get time-frequency distribution. Finally, time-frequency entropy algorithm is used to calculate the entropy of the planetary gearboxes in the operation condition. The results indicate that the method of planetary gearboxes condition monitoring based on the LMD and the time-frequency entropy is very effective.

关 键 词：振动与波 行星齿轮箱 局部均值分解 乘积函数 时频熵 状态监测 

分 类 号：TH212[机械工程—机械制造及自动化] TH213