Fault diagnosis method for inner ring and outer ring of bearing of axial plunger pump

Abstract

The invention relates to a fault diagnosis method for an inner ring and an outer ring of a bearing of an axial plunger pump. According to the method, first, a finite element analysis method is utilized to perform modeling and finite element simulation on the bearing of the plunger pump, inherent frequency of first-order bending vibration of the inner ring and the outer ring of the bearing is obtained through modal analysis to serve as central frequency of a band-pass filter, and filtering is performed at fixed bandwidth 2,000Hz; second, minimum entropy deconvolution is utilized to perform fault feature enhancement on signals obtained after band-pass filtering; and last, fault feature frequency is obtained through Hilbert envelope demodulation. Through the method, on the one hand, modal analysis is utilized to obtain a carrier frequency center of fault feature signals, and the fault feature signals subjected to amplitude modulation nearby the inherent frequency of the first-order bending vibration of the inner ring and the outer ring of the bearing can be effectively captured; and on the other hand, the minimum entropy deconvolution technology is utilized to perform fault impact feature enhancement on the filtered signals, the fault frequency and multiplied frequency of the bearing can be visually demodulated, and therefore a fault type is determined.

Description

technical field [0001] The invention belongs to the field of fault diagnosis of mechanical equipment, and specifically refers to a method for diagnosing faults of axial plunger pump bearings with band-pass filter-enhanced minimum entropy deconvolution. Background technique [0002] Hydraulic transmission system occupies an important position in modern industry, and the condition monitoring and fault diagnosis of mechanical equipment are paid more and more attention by people. Axial piston pump is a key component in the hydraulic system. Due to its harsh working conditions, various failures will inevitably occur, resulting in economic losses and even catastrophic casualties. Therefore, it is of great significance to accurately and effectively diagnose the faults of axial piston pumps to improve the safety and reliability of hydraulic systems. [0003] In fact, the majority of failures that occur in the mechanical components of axial piston pumps are usually of an impulsive c...

AI Technical Summary

Problems solved by technology

However, due to the reciprocating motion of the plunger during the working process of the axial piston pump, there are obvious natural periodic impact components in the vibration signal (periodic impact components brought about by the reciprocating motion of the plunger), when the plunger pump When a key part fails during operation, the impact component excited by the fault will inevitably be strongly disturbed by the natural periodic impact

In addition, due to the harsh working environment in the hydraulic transmission system, the collected vibration signals are usually subject to severe noise pollution

Therefore, the traditional feature extraction method is difficult and the effect is not obvious when it is used for fault diagnosis.

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