LAUSR

Compound faults diagnosis of bearings and gears in gearboxes is a full-challenging task. The rational usage of meshing resonance is probable to be one of the breakthroughs to solve this problem. However, the existing detection method of meshing resonance is sensitive to noise and has risks of false demodulation. Meanwhile, it is difficult to guarantee that isolated components only contain one fault characteristic. Based on the mentioned problems, a spectrum of full-band preprocessing and 2-D separation method is raised. First, the inverted editing method of the original signal is proposed to reduce noise in the full frequency band. Second, the established resonance detection diagram and the introduced amplitude-level decomposition technique separate the processing results in the frequency and amplitude dimensions. Finally, the separate components are detected, respectively, by envelope analysis. Both the simulation analysis and experimental verification do support the effectiveness of this method. In addition, this article compares the existing method and solves the essential problems as well.