Crack identification method of main shaft of boring machine

A roadheader and crack technology, which is applied in the field of mechanical structure fault diagnosis, can solve problems such as high environmental vibration and noise, no application, and poor working conditions

Inactive Publication Date: 2010-10-06
GUILIN UNIV OF ELECTRONIC TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is no suitable method for crack diagnosis based on vibration for the main shaft structure of the roadheader with harsh working conditions, high environmental vibration and noise, and running.

Method used

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  • Crack identification method of main shaft of boring machine
  • Crack identification method of main shaft of boring machine
  • Crack identification method of main shaft of boring machine

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Experimental program
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Effect test

Embodiment Construction

[0046] Below in conjunction with accompanying drawing, the content of the method embodiment of this roadheader main shaft crack identification is described in further detail:

[0047] The first step is to establish the wavelet finite element model of the cracked spindle of the high-precision roadheader under the running state, including the following specific steps:

[0048] I. According to the gyro torque, transverse shear deformation, moment of inertia of the main shaft, material hysteresis and viscous damping, cross stiffness and cross damping of the roadheader main shaft, the wavelet finite element calculation model of the main shaft of the roadheader obtains the first three orders of positive whirl frequency.

[0049] refer to figure 1 As shown, the interval B-spline wavelet BSWI scaling function whose order is m and scale is j is adopted, which is abbreviated as BSWIm j The scaling function, as the construction unit of the interpolation basis function, can be used as t...

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Abstract

The invention relates to a crack identification method of a main shaft of a boring machine, the method comprises the following steps: the first step: establishing a wavelet finite element model of the main shaft of cracks of the boring machine under the running state; the second step: adopting the wavelet finite element model of the first step to calculate a forward problem solution crack quantitative diagnosis database which takes the first three-order forward whirling frequency as the target, applying the operational mode analysis method to measure the actual forward whirling frequency of the main shaft of the cracks of the boring machine under the running state, utilizing the mixed optimization algorithm of the genetic algorithm and a back propagation neural network to solve, and quantitatively identifying the positions and the severities of the cracks of the main shaft of the boring machine. The method is effective and reliable, is applicable to quantitative diagnosis of the cracks of the main shaft of the running boring machine, can overcome the defect that the common method can only be used for the static state and is suitable for on-line monitoring and diagnosis.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of mechanical structures, and in particular relates to a method for identifying cracks in the main shaft of a roadheader. Background technique [0002] At present, with the rapid development of the national economy, the society's demand for energy is expanding day by day. As the main source of energy, the production safety of the coal industry is not optimistic. The reason is that the degree of automation of coal mine machinery is not high, and the general lack of necessary equipment safety monitoring and diagnosis system is one of the main reasons. As far as the roadheader is concerned, due to the harsh working conditions, the main shaft of the cutting head is subjected to a large impact load and random excitation, and crack failures are prone to occur, of which more than 80% are caused by fatigue damage, and the fatigue fracture process is in the final analysis It depends on the open o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/00G01H17/00
Inventor 向家伟陈东弟徐晋勇
Owner GUILIN UNIV OF ELECTRONIC TECH
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