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Method for detecting characteristics of gun gap

A feature detection and gap technology, applied in the direction of instruments, adaptive control, control/regulation systems, etc., can solve problems such as misalignment, less application of gap response signals, and rotor cracks

Inactive Publication Date: 2011-06-01
XI AN JIAOTONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Research in these aspects is very helpful to understand the motion mechanism of mechanism clearance, but it is still very difficult to solve practical problems in engineering
[0004] The research on signal feature extraction methods has been successfully applied to some common faults, such as rotor cracks, misalignment, and gear and bearing faults, but it is rarely used in gap response signals

Method used

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  • Method for detecting characteristics of gun gap
  • Method for detecting characteristics of gun gap
  • Method for detecting characteristics of gun gap

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0128] according to figure 2 The equivalent model test bench of the cantilever beam is built as shown.

[0129] The experimental process is as follows: From the schematic diagram of the test bench, it can be seen that the gasket consists of two parts: the large gasket is the main supporting gasket, and its thickness is completely equal to the thickness of the cantilever beam; the small gasket is the gap adjustment gasket, with a minimum thickness of 0.1 mm, increasing at an interval of 0.1mm until 1.5mm, a total of 15 groups. When no spacer is added, the cantilever beam is in a compressed state. Add different gap gaskets to realize the working conditions of the cantilever beam under different gaps. Knock at the middle position of the cantilever beam to obtain the vibration response signals of the cantilever beam under different gaps.

[0130] The number of selected predictor coefficients is 8, the number of updater coefficients is 4, and the initial values ​​of the predict...

Embodiment 2

[0139] In order to verify the correctness of the method described in this paper, the laboratory specially constructed a scale model of the artillery, in which Image 6 Schematic diagram of the artillery scale model structure; the pitch clearance of the artillery mainly refers to the gap between the rack and pinion in the model.

[0140] The number of selected predictor coefficients is 8, the number of updater coefficients is 4, and the initial values ​​of the predictor and updater are:

[0141] G 0 =[0.125 0.125 ... 0.125] 1X8

[0142] h 0 =[0.125 0.125 0.125 0.125]

[0143] Then use formulas (2)~(7) to construct adaptive predictor G and adaptive updater H. Using formulas (8)-(10) to decompose and reconstruct the gap response signal of the artillery scale model with operator-adaptive wavelet packet. Use formulas (11)-(12) to solve the gap characteristic index on the optimal detection frequency band.

[0144] Figure 7 (a) and (b) show the time-domain waveforms of the r...

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Abstract

The invention discloses a method for detecting characteristics of a gun gap. The method is characterized by giving initial values with equal elements according to respective symmetry and constraint of a predictor and an updater, then constructing an adaptive predictor and an adaptive updater with best matched signal characteristics by utilizing an operator-based adaptive algorithm and carrying out operator-based adaptive wavelet packet decomposition and reconfiguration on the gun gap response signals to obtain the vibration signals of multiple frequency bands; and then calculating the energy value of the vibration signal of each frequency band, taking the frequency band with maximal energy as the best detection frequency band, finally calculating the gap characteristic index on the best detection frequency band, taking the gap characteristic index on the best detection frequency band when the gun mechanism gap is 0.5mm as the threshold and determining the gun mechanism gap to be qualified when the gap characteristic index on the best detection frequency band of the response signals of the detected gun gap is less than the threshold. The detection method is reliable in result, goodin real time and simple and easy to operate, is suitable for on-site guidance of fast dynamic regulation of the gun gap and improves the shooting precision.

Description

technical field [0001] The invention belongs to the field of mechanism gap feature detection, and in particular relates to a detection method for the dynamic characteristics of the pitch mechanism gap of a gun. Background technique [0002] Artillery is playing an increasingly important role in today's wars, and its important performance index is shooting accuracy. The muzzle disturbance is an important factor affecting the shooting accuracy, and the disturbance of the muzzle basically depends on the clearance of the pitching mechanism of the gun. However, due to the influence of various factors such as assembly and manufacturing errors, the gap between the artillery pitching mechanisms cannot be completely eliminated. If there is a gap between the components, there is bound to be vibration; the position of the muzzle is affected and disturbance occurs, resulting in reduced shooting accuracy. Therefore, it is of great significance to study the detection method of the clear...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
Inventor 陈雪峰申中杰李兵何正嘉
Owner XI AN JIAOTONG UNIV