Abstract
Planet gear is the most unique dynamic component in planetary gearbox. It rotates around sun gear while rotating around its own central axis, causing modulation effect in monitoring signal. Planetary gear is usually connected to heavy external loads and other transmissions, fault feature of planet gear may be overwhelmed by noises and other signals. Focused on planet gear inside planetary gearbox, a method for fault diagnosis is proposed in this paper based on continuous vibration separation (CVS) and minimum entropy deconvolution (MED). In this method, CVS is designed to separate dynamic responses of planet gear from overall vibration responses of planetary gearbox by overcoming the modulation effect and depressing noises. MED is used for enhancement detection of fault-related impulses. Simulations and experiments are conducted to collect signals for analysis. The proposed method is also compared with vibration separation method (VS). Both simulation and experiment analysis indicate that the proposed planet gear fault diagnosis method is effective. Comparative study indicates that CVS-MED method improves VS by keeping signal periodicity while overcoming modulation effect and depressing noises.
Highlights
Planetary gears are commonly used transmission unit in equipment including helicopter [1], wind turbine [2], and automobiles [3] since they can reduce the running speed efficiently within a small casing while keeping the input and output shaft coaxial
Besides modulation effects caused by planetary movements, fault-related impulses detection under noises is a challenge for fault diagnosis of planet gear
We focus on comparison of signals under fault condition and health condition to validate effectiveness on fault diagnosis of planet gear, and vibration separation method (VS) method is used to process experimental data for a comparative study
Summary
Planetary gears are commonly used transmission unit in equipment including helicopter [1], wind turbine [2], and automobiles [3] since they can reduce the running speed efficiently within a small casing while keeping the input and output shaft coaxial. Cheng [18] proposed an approach to detect planetary gear damage quantitatively using a physical model, as well as a hybrid method to predict the remaining useful life of planetary gearbox with a local defect [19]. Feng [20] investigated a phase angle-based diagnostic scheme for fault diagnosis of planetary gear by extracting phase angle data from vibration signals under nonstationary conditions. Hood [32,33] applied vibration separation on fault detection of sun gear in planetary gearbox He [34] proposed a method for separating coupling modulation from signal of gearbox based on match pursuit and correlation filtering. In order to guide the development and validate the effectiveness of the method, a dynamic model focusing on dynamic response characteristics is established to simulate planet gear fault.
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