A method for judging the peeling position of rolling bearings

Abstract

The invention provides a method for judging the peeling position of a rolling bearing. First, a nonlinear dynamic model of the peeling fault bearing is established to obtain the simulated frequency domain vibration curve of the peeling fault bearing, and then the vibration signal on the fault or suspected fault bearing is collected to extract the measured frequency. Then calculate the fault characteristic frequency of the outer ring and inner ring of the faulty or suspected faulty bearing, compare the simulated frequency domain vibration curve with the measured frequency domain vibration curve, determine whether the bearing to be tested is a faulty bearing, and determine Find out the specific fault location. The present invention avoids the problem that the nonlinear dynamic model of the fault is inaccurate in simulating the actual fault, and at the same time considers the pulse modulation in the process of the rolling body running through the fault position of the inner and outer rings, and can more accurately simulate the running state of the bearing when the early fault occurs, The method not only effectively improves detection efficiency and precision, but also helps reduce equipment maintenance costs and improve production efficiency.

Description

technical field [0001] The invention relates to the technical field of bearing fault diagnosis, in particular to a method for judging the spalling position of a rolling bearing. Background technique [0002] Spalling fault is one of the main reasons for the failure of rolling bearings. Through statistical analysis of rolling bearing spalling faults and comparison with the frequency domain signal of bearing vibration response, it is possible to judge whether spalling faults occur in rolling bearings, and to distinguish the location of spalling faults It is located in the inner or outer ring of the bearing, so that it can be repaired or replaced in time, so as to prevent the bearing from failing due to excessive peeling failure, which will cause the failure of the whole machine, cause unnecessary economic losses and possible casualties, and make the bearing work process Always under control. Existing identification methods for bearing peeling faults cannot accurately determin...

AI Technical Summary

Problems solved by technology

[0004] The existing nonlinear dynamic model for judging the location of bearing failure cannot accurately calculate the contact stiffness between the rolling element and the inner and outer rings when the bearing fails, and it cannot accurately simulate the vibration signal of the bearing when the early failure occurs. Therefore, the current Some methods of judging the location of bearing faults can only diagnose the bearings when the fault develops to a very serious level, which will largely affect the normal operation, maintenance and repair of the equipment, and even cause great economic losses. loss

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