基于激光自混合干涉技术和小波变换的齿轮箱故障诊断

姜春雷; 周旭明

光学技术, 2017, 43 (1): 83, 网络出版: 2017-02-23

基于激光自混合干涉技术和小波变换的齿轮箱故障诊断

Application of laser self-mixing interference technology and wavelet transform in gearbox fault diagnosis

论文大纲

姜春雷 ^1,2,*周旭明 ¹

作者单位

¹ 东北石油大学　电气信息工程学院, 　黑龙江大庆　163318

² 哈尔滨工业大学　电气工程及其自动化学院, 　哈尔滨　 150001

齿轮箱故障诊断小波变换 gearbox fault detection SMI SMI(self-mixing interference) wavelet transform

摘要

激光自混和干涉（SMI）技术是一种利用光反馈原理进行的振动检测技术, 它具有结构简单, 非接触式测量振动信号的特点。为了解决齿轮箱故障诊断的问题, 提出了用激光自混合干涉技术提取信号,并通过小波变换对信号分析进行处理的方法。通过分析小波变换的各个分量以及最终经过小波变换去噪后的信号, 能够准确地识别出齿轮箱在运转时所存在的周期性振动故障信号, 实验得到的结果与理论值结果完全吻合。

Abstract

The technology of self-mixing interference (SMI) is a kind of non-contact detection method which based on the principle of optical feedback and it has a very simple structure. In order to solve the problem of gearbox fault diagnosis, a method of self-mixing interference technology is proposed to process the fault vibration signal of gearbox based on wavelet transform analysis theory. The fault feature is extracted and analyzed. Through analyze the wavelet transform signal’s each component, it can accurately identify the existence of periodic vibration fault from the wavelet de-noised signal. The experimental result coincides with the theoretical result.

参考文献

[1] BEHZAD M, BASTAMI A R, MBA D. A new model for estimating vibrations generated in the defective rolling element bearings［J］. ASME Transactions on Journal of Vibration and Acoustics,2011,133(4): 041101.

[2] LIU J, SHAO Y M,LIM T C. Vibration analysis of ball bearings with a localized defect applying piecewise response function［J］. Mechanical and Machine Theory, 2012,56: 156-169.

[3] YOSHIOKA T, KORENAGA A, MANO M, et al. Diagnosis of rolling bearing by measuring time interval of acoustic emission generation［J］. ASME Transactions on Journal of Tribology,1999,121(3): 468-472.

[4] JAMALUDIN N, MBA D. Monitoring extremely slow rolling element bearing (Part 1)［J］. NDT&E International, 2002,35(6): 349-358.

[5] Lorenzo Scalise, Yanguang Yu, Guido Giuliani, et al. Self-mixing laser diode velocimetry: Application to vibration and velocity measurement［J］.IEEE Trans. Instrum. Meas. , 2004,53(1): 223-232.

[6] 蔡建进.基于小波分析理论的齿轮箱故障诊断研究［D］.太原: 中北大学,2006.

CAI Jianjin. Study on fault diagnosis of gearbox based on wavelet analysis theory［D］, North University of China,2006

[7] 康海英, 奕军英, 张志斌,等. 基于时频和频谱分析的齿轮箱故障诊断［J］.军械工程学院学报, 2004, (3): 10-13.

CAI Haiying, YI Junying, ZHANG Zhibin. Gearbox fault diagnosis based on spectrum and time-frequency analysis［J］. Journal of Ordnance Engineering College,2004,(3): 10-13.

[8] 桂华侨,吕亮,谢建平等.三角波电流调制半导体激光器自混合效应研究［J］.中国激光,2004,31(s1).

GUI Huaqiao, LU Liang, XIE Jianping. Study on self-mixing interference of the triangular wave current modulated semiconductor laser［J］.Chinese Journal of Lasers,2004,31(s1).

[9] Guy Plantier, Caroline Bes, Thierry Bosch. Behavioral model of a self-mixing laser diode sensor［J］. IEEE Journal of Quantum Electronics, 2005, 41(9): 1157-1167.

[10] DONATI S, GIULIANI G, MERLO S. Laser diode feedback interferometer for measurement of displacements without ambiguity［J］.Quantum Electronics,IEEE,1995,31(1): 113-119.

[11] 刘强,王鸣,等. 调制型激光自混合干涉仪的实时位移测量技术［J］. 光学学报,2014(6),170-176.

LIU Qiang, WANG Ming. Since the real-time displacement measurement technology self-mixing interference with sinusoidal phase modulation laser［J］. Journal of Optics,2014(6): 170-176.

[12] 黄贞.基于半导体激光自混合干涉的振动测量研究与应用［D］. 哈尔滨工业大学,2014.

HUANG Zhen. Study and application of self-mixing interference vibration measurement based on semiconductor laser［D］. Harbin Institute of Technology,2014.

姜春雷, 周旭明. 基于激光自混合干涉技术和小波变换的齿轮箱故障诊断[J]. 光学技术, 2017, 43(1): 83. JIANG Chunlei, ZHOU Xuming. Application of laser self-mixing interference technology and wavelet transform in gearbox fault diagnosis[J]. Optical Technique, 2017, 43(1): 83.

基于激光自混合干涉技术和小波变换的齿轮箱故障诊断

关于本站 Cookie 的使用提示

全站搜索

基于激光自混合干涉技术和小波变换的齿轮箱故障诊断

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索