The assembly of the hypoid gear final reducer assembly also needs to adjust the pre-tightening of the main and driven gear bearings, the gear meshing clearance and the meshing impression. If the adjustment is improper, the main and slave teeth will be misaligned, resulting in different working hours. The ringing, vibration, and wear are intensified. In severe cases, the main and driven gear pairs are worn out and even scrapped. At present, domestic methods for detecting the main reducer assembly gear include print mark detection, noise detection, and vibration signal spectrum analysis. The imprint detection is to apply the red powder to the gear, and the human eye observes whether the gear meshing area of ​​the main reducer is normal. The noise detection is the noise generated during the running of the main reducer through the human ear, and the running is recognized according to experience. The abnormal noise generated in the spectrum analysis method is to analyze the spectrum after the FFT transformation of the vibration signal, and judge the meshing quality according to the spectrum distribution of the vibration signal. The first two methods are greatly influenced by subjective factors or the workshop environment. The latter method has no obvious effect on the recognition of similar spectral faults excited by different fault sources, and the fault cannot be accurately identified. In this paper, we apply Hilbert transform and FFT to the envelope signal analysis of the vibration signal to detect the faults such as gear eccentricity, toothed bread and tooth surface damage, and combine the gear shaft frequency to determine the axis where the fault gear is located.
The vibration model of the main reducer assembly gear meshing In order to visually show the vibration response law of the main reducer assembly gear meshing, the vibration phenomenon of the normal meshing and abnormal meshing of the gear is now modeled. The vibration model of the normal meshing gear of the hypoid gear main reducer assembly is a complex nonlinear system. The vibration model of the gear meshing is not good. When the tooth surface condition is good and the assembly error is small, the spectrum amplitude of each harmonic of the gear meshing is small; if the gear has distribution defect or damage type fault, such as tooth shape error When broken teeth, gear eccentricity, toothed bread pieces and tooth surface damage, these defects are repeated once every one revolution of the gear during the gear meshing process. The repetition frequency of these defects coincides with the frequency of the gear shaft, resulting in meshing. The frequency and its harmonics are carrier waves, and the gear axis frequency is the modulation phenomenon of the modulation frequency. Performing FFT fast Fourier transform to obtain the spectrum of the envelope signal, the spectrum consists of a DC component and a modulation frequency and its frequency multiplication. By analyzing this, the demodulated modulation frequency can be obtained.
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