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News details

Vibration Analysis of Rolling Bearing

Time:2016.11.11 News Sources:Shandong Xinkaite bearing Co.,Ltd. Views:
(A) characteristic parameter method
The advantage of the characteristic parameter method is that only a few indexes are used to explain the state of the bearing, and the result analysis is simple and convenient. Commonly used in the diagnosis of rolling bearing characteristic parameters include RMS, peak and other time-domain characteristics of the parameters and the frequency of the center of gravity and other frequency domain parameters.
(C) spectral analysis method
Rolling bearing vibration frequency component is very rich, both contain low-frequency components, but also contains high-frequency components. Each particular fault corresponds to a specific frequency component and requires the separation of specific frequency components by appropriate signal processing methods to indicate the presence of a specific fault.
(C) envelope method
The advantages of the envelope method include the ability to distinguish between several fault features occurring simultaneously in the same bearing, the removal of the fault related signal from the high frequency modulated signal, thereby avoiding confusion with other low frequency disturbances, High diagnostic reliability and sensitivity.
When the bearing surface of a component of local damage, in the process of loading to contact with the surface of its impact to produce impulse force. Because of the wide frequency band of impact pulse force, including the bearing assembly, bearing, machine structure and the natural frequency of the sensor, it must arouse resonance vibration measurement system. Therefore, the measured vibration acceleration signal contains a plurality of carrier resonance frequencies, and a fault characteristic frequency and harmonic components thereof are modulated thereon. Which can be selected according to the actual situation as the center of a resonant frequency, so that weak bearing fault signal carried in the high-amplitude resonant frequency band to pass out, and then the absolute value of the measured signal processing, followed by low-pass filter, you can get the modulation Signal envelope, and then fast Fourier transform FFT, you can get the characteristics of the fault frequency and its frequency components of the low-frequency envelope signal, the envelope of the signal spectrum analysis can easily diagnose the bearing fault, This process is also known as resonant demodulation.
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