Method for judging peeling position of rolling bearing

Abstract

The invention provides a method for judging the peeling position of a rolling bearing. Firstly, a nonlinear kinetic model of a spalling fault bearing is established; obtaining a simulated frequency domain vibration curve of the spalling fault bearing; then acquiring a vibration signal on a bearing with a fault or a suspected fault; extracting an actual measurement frequency domain vibration curve,then calculating fault characteristic frequencies of an outer ring and an inner ring of a bearing with a fault or a suspected fault, comparing the fault characteristic frequencies with the actual measurement frequency domain vibration curve by taking the simulation frequency domain vibration curve as a reference, determining whether the bearing to be measured is a fault bearing or not, and determining a specific fault position. According to the invention, the problem of inaccurate actual fault simulation of a fault nonlinear kinetic model is avoided; meanwhile, pulse modulation in the processthat the rolling body passes through the fault position of the inner ring and the outer ring during operation is considered, the operation state of the bearing during early faults can be simulated more accurately, the detection efficiency and precision are effectively improved, the equipment maintenance cost is reduced, and the production efficiency is improved.

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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