摘要
针对行星齿轮箱的振动信号易受噪声干扰、信号成分复杂以及太阳轮易发生故障的问题,提出了基于小波相邻系数(Neigh Coeff)和Hilbert包络相结合的行星齿轮箱太阳轮故障诊断方法。建立了太阳轮局部故障的振动信号仿真模型,模拟噪声干扰下的太阳轮故障,利用Neigh Coeff对含噪信号降噪,对降噪后的信号进行Hilbert包络解调处理。仿真结果可得到更为清晰的频谱,证明该方法能够有效提取受噪声影响的故障特征频率。将该方法应用到行星齿轮箱太阳轮的故障诊断实验中,通过对太阳轮正常、断齿和磨损三种故障下振动信号进行实验,准确识别太阳轮故障,结果表明应用该方法能够有效地提高太阳轮故障诊断的准确性。
Aiming at the problem that the vibration signals of planetary gear boes are susceptible to noise interference, signal components complication and sun wheel troubles, a fault diagnosis method for the planetary gearbox sun gears based on the Neighborhood Coefficient （NeighCoeff） and Hilbert envelope was proposed. A vibration signal simulation model for sun gear local faults under noise disturbance was established. The NeighCoeff was used to denoise the noisy signal, and the signal was reconstructed by the Hilbert envelope. The simulation results provide a clearer spectrum, which proves that the method can effectively extract the fault characteristic frequency affected by noise. The method was applied to the fault diagnosis experiments of a practical planetary gearbox sun gear. The vibration signals of the sun gear processed by the method can classify clearly the three common working states： normal, broken teeth and wear and the faults of the sun gear can be accurately identified. The results show that the method can effectively improve the accuracy of fault diagnosis of sun gears.
作者
程宝安
庞新宇
杨兆建
邵杰
CHENG Baoan;PANG Xinyu;YANG Zhaojian;SHAO Jie(College of Mechanical Engineering,Taiyuan University of Technology,Taiyuan 030024,China;Shanxi Key Laboratory of Fully Mechanized Coal Mining Equipment,Taiyuan 030024,China)
出处
《振动与冲击》
EI
CSCD
北大核心
2018年第22期151-157,共7页
Journal of Vibration and Shock
基金
国家自然基金山西煤基低碳联合基金项目(U1510116)
山西省自然科学基金(201601D011050)
