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Transverse crack fault characteristic quantity extraction method of rotor-bearing system

A technology of fault feature quantity and transverse crack, which can be used in mechanical bearing testing, measuring device, testing of mechanical components, etc., and can solve problems such as unsatisfactory analysis results.

Active Publication Date: 2018-12-07
XIAN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, the Volterra model is a time series analysis method. Its model parameters condense the important information of the system state. The accurate Volterra model can deeply and intensively express the objective laws of the dynamic system. However, the Volterra model can directly analyze the vibration of the structure. The signal analysis effect is not ideal

Method used

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  • Transverse crack fault characteristic quantity extraction method of rotor-bearing system
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  • Transverse crack fault characteristic quantity extraction method of rotor-bearing system

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Experimental program
Comparison scheme
Effect test

Embodiment

[0123] Embodiment: In the expression of the system, by formulating different crack angles and setting different white noises, the validity of the method can be verified.

[0124] Selection: The variation range of the crack angle α is taken as The signal-to-noise ratio of white noise is 20db; the specific parameters of the model are shown in Table 1, Table 2 is the 1 / 3 times critical speed crack fault characteristic quantity, and Table 3 is 1 / 2 times the critical speed crack fault characteristic quantity, Figure 5 output the system response for the model, Image 6 Adding a white noise signal to the system response, Figure 7 is the signal after noise reduction.

[0125] parameter

value

m b , M r (kg)

4,32

R,L,C(mm)

25,12,0.11

c b ,c r (Ns / m)

1050,2100

k(N / m)

2.5×10 7

e(mm)

0.05

[0126] Table 1

[0127]

[0128] Table 2

[0129]

[0130]

[0131] table 3.

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Abstract

The present invention discloses a transverse crack fault characteristic quantity extraction method of a rotor-bearing system. The method comprises the steps of: establishing a crack rotor-bearing system dynamics model to obtain a system dynamics equation and calculate system response signals in different crack angles; adding white noise simulation actual signals for system response in different crack angle, and performing EMD-CIIT noise reduction processing of the signals adding the white noise to obtain denoised signals; performing EMD decomposition of the denoised signals to extract IMF components; constructing a Volterra series model for each IMF component, and taking the Volterra model parameter of each IMF component as the horizontal vector of the matrix to construct a prediction parameter matrix; and taking the singular value of the obtained matrix as a system fault characteristic quantity. The transverse crack fault characteristic quantity extraction method can analyze the influence of different crack angles on the system response at the bearing position in different non-linear oil-film force.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis methods, and relates to a method for extracting transverse crack fault feature quantities of a rotor-bearing system. Background technique [0002] The operating environment of the rotor-bearing system is complex, the state is changeable, and its complexity and nonlinearity lead to various types of faults during its operation. According to data, crack faults account for a considerable proportion, among which the transverse Crack failure is the main one. As a key component of rotating machinery, the shaft often works in an environment with variable temperature, high pressure, variable load, and even a certain degree of corrosion. In addition, there are often defects in manufacturing, damage caused by friction during operation, complex and variable stress fields and The temperature field is easy to cause fatigue cracks on the shaft. If the cracks cannot be diagnosed effectively in the early ...

Claims

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Application Information

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IPC IPC(8): G01M13/04
CPCG01M13/045
Inventor 赵道利黄振宇黄秋红孙维鹏南海鹏梁武科罗兴锜
Owner XIAN UNIV OF TECH
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