Asia United Machinery CO.,LTD

Vibration analysis of the power end bearing of mud pump

2018-08-29 16:06:09

In order to grasp the working state of the mud pump, the vibration signal of the power end bearing under the normal working condition of the mud pump and some fault conditions is measured, and after the resonance demodulation process is performed, the frequency domain analysis of the obtained time domain signal is further obtained. Valuable detection parts vibration law, general characteristics and fault characteristics can be used for fault diagnosis of mud pumps.Precision bearings are mainly used for high-speed rotating applications with light loads, requiring high-precision bearings, high-speed rotation, low-temperature vibration and a certain service life. The support members of the high-speed electric spindle are often used in pairs, and are the pivotal components of the high-speed electric spindle of the inner surface grinding machine.

The failure of the power end of the mud pump mainly occurs on the gears and bearings, and the fault of the bearing is the most common. The bearings at the power end of the mud pump are all rolling bearings. In the test of the vibration signal of the power end bearing, there are many interferences, resulting in spectral line miscellaneous, and the fault signal is difficult to extract. In order to solve this problem, resonant demodulation technology is adopted. The vibration analysis signal processed by the resonant demodulator is used for fault diagnosis and diagnosis. The resonance demodulation active diagnosis method must be used. The simplified formula can be used to analyze and diagnose the power end bearing fault of the mud pump.

in conclusion
(1) Applying the vibration signal processed by the resonant demodulator for self-power spectrum analysis, it can effectively diagnose the fault of the main bearing of the mud pump power end.
(2) When troubleshooting the bearing, the load must be tested (especially high-power equipment) and used as a parameter to calculate the fault characteristic value in order to make an accurate judgment.