吉林大学学报(工学版)2024,Vol.54Issue(7) :1869-1875.DOI:10.13229/j.cnki.jdxbgxb.20230400

基于高速摄影技术的行星减速箱故障激光序列脉冲诊断方法

Laser sequence pulse diagnosis method of planetary reducer fault based on high-speed photography technology

王长建 刘久明 张锦洲 李斌
吉林大学学报(工学版)2024,Vol.54Issue(7) :1869-1875.DOI:10.13229/j.cnki.jdxbgxb.20230400

基于高速摄影技术的行星减速箱故障激光序列脉冲诊断方法

Laser sequence pulse diagnosis method of planetary reducer fault based on high-speed photography technology

王长建 1刘久明 1张锦洲 1李斌1
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作者信息

  • 1. 长江大学 机械工程学院,湖北 荆州 434023
  • 折叠

摘要

设计了一种基于高速摄影技术的行星减速箱激光序列脉冲诊断方法.将序列脉冲激光器与高速相机配合使用,采集减速箱振动激光序列脉冲信号,利用多传感器收集振动信号,计算信号排列熵.判断激光序列脉冲信号是否存在异常特征,若存在异常,则将序列脉冲信号转换成可非分割线性关系,采用径向基核函数计算出脉冲训练值,凭借训练值高低判断行星减速器齿轮及轴承的故障程度.测试实验证明,研究方法可行有效,检测不同故障信号的序列脉冲信号,概率密度函数特征点分布在[0.23,0.34],能精准分辨出4种不同的故障类型.

Abstract

A diagnosis method of planetary gearbox laser sequence pulse based on high-speed photography technology was developed.The serial pulse laser was used with a high-speed camera to collect the serial pulse signal of the vibration laser of the gearbox,and the vibration signal was collected by multi-sensors to calculate the entropy of signal arrangement.To determine whether there are abnormal characteristics in the laser sequence pulse signal,if abnormalities are detected,the sequence pulse signal is converted into a non-separable linear relationship.Then,the radial basis function(RBF)kernel is utilized to calculate the pulse training values.Based on the level of these training values,the extent of faults in the planetary reducer's gears and bearings is assessed.The test results show that the research method is feasible and effective,and the characteristic points of probability density function are distributed in[0.23,0.34]by detecting the sequence pulse signals of different fault signals,which can accurately distinguish four different fault types.

关键词

高速摄影技术/行星减速箱/故障诊断/激光序列脉冲/故障特征提取

Key words

high speed photography technology/planetary reducer/fault diagnosis/laser sequence pulse/fault feature extraction

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基金项目

国家自然科学基金项目(51974035)

出版年

2024
吉林大学学报(工学版)
吉林大学

吉林大学学报(工学版)

CSTPCD北大核心
影响因子:0.792
ISSN:1671-5497
参考文献量13
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