一种基于行星齿轮箱复合运动的故障诊断指标

发布时间：2018-07-17 16:05

【摘要】：行星齿轮箱广泛应用于风力发电、航空、船舶等大型工程机械中,恶劣的工作环境使得其中的关键部件容易出现严重的磨损或疲劳断裂等故障。现有的故障诊断方法大多在时、频域中对信号进行处理,然而由于行星齿轮箱振动响应信号频率成分的复杂性和故障传递路径的时变特性,使得传统的针对定轴转动齿轮系统的故障诊断方法很难有效的对行星齿轮箱进行故障诊断;抓住行星齿轮系统复合运动的突出特征,结合故障振动传递路径的时变特性,提出了一种基于故障运动特征的潮汐频率特征指标对行星齿轮箱进行故障诊断。通过对行星齿轮箱太阳轮局部故障的振动数据分析,验证了潮汐频率指标的存在,分析了潮汐频率作为行星齿轮箱故障诊断指标的优势和前景。
[Abstract]:Planetary gearboxes are widely used in wind power generation, aviation, ships and other large-scale construction machinery, the poor working environment makes the key components prone to serious wear or fatigue fracture and other faults. Most of the existing fault diagnosis methods process the signals in the time and frequency domain. However, due to the complexity of the frequency component of the vibration response signal of the planetary gearbox and the time-varying characteristics of the fault transmission path, The traditional fault diagnosis method for the fixed axis rotating gear system is very difficult to effectively diagnose the planetary gear box, grasp the outstanding characteristics of the planetary gear system composite motion, combined with the time-varying characteristics of the fault vibration transmission path. A fault diagnosis method for planetary gearbox based on tidal frequency characteristic index of fault motion feature is presented in this paper. The existence of tidal frequency index is verified by analyzing the vibration data of solar wheel local fault of planetary gearbox, and the advantages and prospects of tidal frequency as the fault diagnosis index of planetary gearbox are analyzed.
【作者单位】：电子科技大学设备监控与健康管理研究所;阿尔伯塔大学机械工程系;
【基金】：国家自然科学基金项目(51305067;51375078;SAST201311)
【分类号】：TH132.41

【相似文献】