改进型ESMD在齿轮箱轴承故障诊断中的应用

Application Research of Improved ESMD on Fault Diagnosis Method for Gearbox Bearings

针对如何有效提取齿轮箱滚动轴承故障信息,提出了一种改进型极值点对称模态分解(IESMD)自适应消噪与共振解调技术(DRT)相结合的诊断方法。该方法首先利用IESMD对原始滚动轴承信号进行自适应分解成多个IMF分量;接着通过互相关系数方法对信号进行重构以达到消噪的目的;然后对重构信号进行谱峭度分析,通过冲击成分所在频带范围设计带通滤波器实现对重构信号的滤波处理;最后将滤波后的信号进行Teager能量谱分析,求出其瞬时幅值,并对瞬时幅值进行频谱分析,得到高频共振信号的能量谱,对比故障特征频率进行滚动轴承的故障模式识别。通过动力学仿真和齿轮箱滚动轴承实验对该方法进行了有效性论证,结果表明:该方法可以有效识别齿轮箱中滚动轴承的故障信息。

Aiming at the feature extraction for the rolling bearing in gearbox,a fault diagnosis method based on improved extreme-point symmetric mode decomposition(IESMD)adaptive denoising combining with demodulated resonance technology(DRT)is presented.Firstly,the original vibration signal is decomposed into several components with IESMD adaptively,and the reconstruction is performed regarding the correlation coefficient method to realize the noise eliminating;then,the reconstructed signal is analyzed by spectral kurtosisto to achieve the frequency band of the impact component.Based on this,a bandpass filter is designed for the reconstructed signal.Finally,the filtered signals are analyzed by Teager energy spectrum.With reference on the characteristic frequency of the rolling bearing failure modes,the patterns of the bearing are recognized.The effectiveness of the method is demonstrated by the dynamic simulation and experimental extraction of the fault signal of the gear box rolling bearing.The results show that the method can effectively identify the fault information of the gear box rolling bearing.