Bearing fault identification method based on LMD and wavelet de-noising
A wavelet denoising and fault identification technology, which is applied in mechanical bearing testing, machine/structural component testing, mechanical component testing, etc. It can solve the problem of difficult acquisition of signal pulse impact characteristics, and improve the efficiency of fault diagnosis with obvious advantages. , center frequency and bandwidth accurate effect
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[0120] Application of Embodiment 1 of the bearing fault identification method based on the combination of LMD and wavelet denoising of the present invention is specifically as follows:
[0121] 1. Signal acquisition
[0122] Use the sampling frequency f on the MFS mechanical failure comprehensive simulation test bench s =25600 Collect the vibration signals of the three types of failures of the bearing inner ring, outer ring, and balls, and the speed is 1800r / min. The collected original signal such as Figure 5 , 6 , 7 shown.
[0123] 2. LMD decomposition of the signal
[0124] The LMD algorithm can decompose any signal into several instantaneous frequency PF components, and these PF components are obtained by multiplying the envelope signal and the pure FM signal. Using LMD to decompose the fault vibration signals of the bearing inner ring, outer ring and ball in 9 layers, the PF components obtained are as follows: Picture 8 , 9 , 10 shown.
[0125] 3. Calculate the kurtosis value of...
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