A Fault Diagnosis Method for Automobile Generator Bearings
A technology for automotive generators and generator bearings, which is applied in the testing of computer components, mechanical components, and machine/structural components. Improve the signal-to-noise ratio, efficiently detect, and suppress noise
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Embodiment example 1
[0077] Implementation Case 1: Fault Diagnosis of Outer Race of Automobile Generator Bearing
[0078] The model of the faulty bearing is 6205, and the basic information is as follows: the number of rolling elements is n=9, the diameter of the rolling elements is d=7.94mm, and the pitch diameter of the bearing is D=39.0398mm. The test parameters are as follows: bearing no-load running speed Rev = 1800r / min, sampling frequency f s = 12kHz. According to the calculation formula of the fault characteristic frequency of the outer ring of the bearing:
[0079]
[0080] In formula (10), α represents the bearing contact angle, and the calculated characteristic frequency of the outer ring fault is 107.5 Hz.
[0081] The time-domain waveform and the Hilbert envelope spectrogram of the original signal in the outer circle are as follows: figure 2 As shown, it can be seen that the spectrum lines of the envelope spectrum are messy, and the fault type cannot be determined. The IITD dec...
Embodiment example 2
[0082] Implementation Case 2: Bearing Inner Ring Fault Diagnosis
[0083] Take the above-mentioned bearing inner ring fault signal, bearing no-load running speed Rev=1800r / min, sampling frequency f s =12kHz, the formula for calculating the fault characteristic frequency of the inner ring of the bearing is:
[0084]
[0085]By calculation, the characteristic frequency of the inner ring fault is 162.5Hz.
[0086] The time-domain waveform and Hilbert envelope spectrogram of the original signal in the inner circle are as follows: Figure 5 As shown, due to noise interference, no matter in time domain or frequency domain, the fault type cannot be judged. The IITD decomposition is performed on the 4-channel original signal, the number of decomposition layers is 4 layers, and the residual items are removed to obtain 4 groups of 12 intrinsic rotation components. The components of the same scale are superimposed and averaged to obtain the enhanced PRC component. Calculate the au...
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