Journal of Mechanics ( IF 1.7 ) Pub Date : 2020-06-29 , DOI: 10.1017/jmech.2020.19 A. Hammami , A. Hmida , M. T. Khabou , F. Chaari , M. Haddar , A. Felkaoui
Empirical Mode Decomposition (EMD) and its approaches are powerful techniques in signal processing especially for the diagnosis of rotating machinery running in non-stationary regime. We are interested in this paper to the dynamic behavior of a defected one stage gearbox equipped with an elastic coupling and loaded under acyclism regime generated by a combustion engine. Actually, we adopt an approach to the EMD method called Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) as a technique to perform the diagnosis of the studied system. Since the obtained signals are modulated, all obtained Intrinsic Mode Functions (IMFs) are modulated and are processed and shown by the Wigner-Ville distributions (WVD) as well as the spectrum of their envelope in order to detect defects such as cracked tooth defect in the wheel of the spur gearbox and eccentricity defect in the gear.
中文翻译:
Ceemdan在有偏心条件下运行的正齿轮变速箱动态行为中的应用
经验模态分解(EMD)及其方法是信号处理中的强大技术,特别是用于诊断在非平稳状态下运行的旋转机械。我们对有缺陷的一级变速箱的动态性能感兴趣,该一级变速箱配备了弹性联轴器,并在内燃机产生的无环状态下加载。实际上,我们对EMD方法采用一种称为“带有自适应噪声的完全集成经验模式分解(CEEMDAN)”的方法,作为一种对所研究系统进行诊断的技术。由于获得的信号被调制,