Real-time vibration monitoring system of thin-walled structures' health status based on the self-mixing effect

被引:0
|
作者
Xiang, Rong [1 ,2 ]
Yu, Benli [1 ]
Lu, Liang [1 ]
机构
[1] Anhui Univ, Key Lab Optoelect Informat Acquisit & Manipulat, Minist Educ, Jiulong Rd 111, Hefei 230601, Anhui, Peoples R China
[2] Chao Hu Univ, Coll Mech & Elect Engn, Ban Tang Rd 1, Chaohu 238000, Peoples R China
基金
中国国家自然科学基金;
关键词
Thin-wall; Monitoring the health status; distributed feedback all-fiber laser; self-mixing vibration sensor;
D O I
10.1117/12.2295253
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
In this paper, a simple structure, low-cost all-fiber laser self-mixing vibration sensing system is designed for monitoring the health status of thin-walled structures which are workpieces in machining, for resolving the interferential problems with the existing vibration measurement system, caused by the cruel environment such as electromagnetic interference, humidity. In this system, a distributed feedback all-fiber laser with ultra-short cavity length is used as the light source, and the real-time monitoring of vibration state of plate under different positions of forced vibration sources is observed. The experimental results show that when the forced vibration source located at the free end or the restricted end of the plate, the measurable self-mixing signals (signal-to-noise ratio up to 30dB) is available at any position. Moreover, it will help us to analysis the specification and the physical mechanism of the forced vibration, by studying this all-fiber laser self-mixing vibration sensor in detail.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Real-time terahertz imaging through self-mixing in a quantum-cascade laser
    Wienold, M.
    Hagelschuer, T.
    Rothbart, N.
    Schrottke, L.
    Biermann, K.
    Grahn, H. T.
    Huebers, H. -W.
    APPLIED PHYSICS LETTERS, 2016, 109 (01)
  • [22] Cutting Deflection Control of Thin-walled Part Based on Real-time Force Signal Detection and Processing
    Han, Zhenyu
    Jin, Hongyu
    Fu, Hongya
    PROCEEDINGS OF 2016 SIXTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION & MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC 2016), 2016, : 687 - 690
  • [23] Development and evaluation of reusable piezo sensors for health monitoring of thin-walled steel structures
    Baral, Sushmita
    Adhikari, Sailesh
    Negi, Prateek
    Bhalla, Suresh
    JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, 2022, 12 (03) : 647 - 657
  • [24] Development and evaluation of reusable piezo sensors for health monitoring of thin-walled steel structures
    Sushmita Baral
    Sailesh Adhikari
    Prateek Negi
    Suresh Bhalla
    Journal of Civil Structural Health Monitoring, 2022, 12 : 647 - 657
  • [25] Real-time human blood pressure measurement based on laser self-mixing interferometry with extreme learning machine
    王秀琳
    吕莉萍
    胡路
    黄文财
    OptoelectronicsLetters, 2020, 16 (06) : 467 - 470
  • [26] Real-time human blood pressure measurement based on laser self-mixing interferometry with extreme learning machine
    Xiu-lin Wang
    Li-ping Lü
    Lu Hu
    Wen-cai Huang
    Optoelectronics Letters, 2020, 16 : 467 - 470
  • [27] Confocal flowmeter based on self-mixing interferometry for real-time velocity profiling of turbid liquids flowing in microcapillaries
    Yanez, Carlos
    Azcona, Francisco J.
    Roy, Santiago
    OPTICS EXPRESS, 2019, 27 (17) : 24340 - 24352
  • [28] Real-time human blood pressure measurement based on laser self-mixing interferometry with extreme learning machine
    Wang, Xiu-lin
    Lu, Li-ping
    Hu, Lu
    Huang, Wen-cai
    OPTOELECTRONICS LETTERS, 2020, 16 (06) : 467 - 470
  • [29] A Real-time Health Monitoring and Warning System
    Khemapech, Ittipong
    2015 TRON SYMPOSIUM (TRONSHOW), 2015,
  • [30] A comprehensive analysis for real-time shape and strain sensing of composite thin-walled structure
    Chen, Kangyu
    Liu, Yimin
    Bao, Hong
    MEASUREMENT, 2023, 221