期刊文献+

基于SPC与小波变换的光纤光栅型损伤识别 被引量:4

Damage Identification Technology Based on Fiber Bragg Grating Using SPC and Wavelet Transform
下载PDF
导出
摘要 为了研究光纤光栅传感技术在振动型损伤识别技术中的优势,建立了基于非平衡M-Z干涉仪和PGC相位解调技术的光纤光栅结构损伤识别系统;构建了基于小波包节点能量相对变化率之和的结构损伤识别指标;介绍了统计过程控制原理,推导了均值-极差控制图进行结构连续损伤识别的过程;测试了结构处于健康状态和6种损伤状态下的振动信号并分析了损伤识别。试验结果表明,构建的损伤识别系统能判断损伤的存在,并且能对损伤的位置和损伤程度进行有效识别。 In order to study the merits of fiber bragg grating(FBG) sensor in vibration damage identification,an interrogation based on unbalanced M-Z interferometer and PGC is designed.The damage indicator,sum of relative variation ratio,is constructed based on wavelet packet node energy.The principle of statistical process control is introduced and the damage identification process using Xbar-R chart is derived.The vibration signals under health status and six kinds of damage status are measured using FBG interrogation.Results show that the damage indicator can judge the presence of damage,the location of the damage and the quantification of the severity of the damage.
出处 《振动.测试与诊断》 EI CSCD 北大核心 2011年第5期566-569,662,共4页 Journal of Vibration,Measurement & Diagnosis
基金 国家自然科学基金资助项目(编号:60874106) 天津师范大学博士基金资助项目(编号:52XB1007)
关键词 光纤光栅 小波包分解 统计过程控制 损伤识别 fiber bragg grating CFBG wavelet packet decomposition statistic process control damage identification
  • 相关文献

参考文献9

  • 1Doebling S W, Farrar C R, Prime M B. A summary review of vibration-based damage identification methods [J]. The Shock and Vibration Digest, 1998, 30 (2),91-105.
  • 2Sun Z, Chang C C, Asce M. Structure damage assessment based on wavelet packet transform[J]. Journal of Structural Engineering, 2002, 128 (10): 1354- 1361.
  • 3Sun Z, Chang C C. Statistical wavelet-based method for structural health monitoring[J]. Journal of Structural Engineering, 2004,130(7) : 1055-1062.
  • 4Ren Weixin , Sun Zengshou. Structural damage identification by using wavelet entropy[J]. Engineering Structures, 2008,30 : 2840-2849.
  • 5王为,林玉池,朱萍玉.光纤光栅在低阻抗材料动态性能测试中的应用[J].光学精密工程,2009,17(3):488-492. 被引量:8
  • 6胡劲松,杨世锡.基于能量的振动信号经验模态分解终止条件[J].振动.测试与诊断,2009,29(1):19-22. 被引量:10
  • 7Wu Y, Du R. Feature extraction and assessment using wavelet packets for monitoring of machining process[J]. Mechanical Systems and Signal Processing, 1996,10(1) :29-53.
  • 8Sohn H, Fugate M L, Farrar C R. Damage diagnosis using statistical process control [C] // Conference on Recent Advances in Structural Dynamics. Southampton, UK: [s. n. ], 2000.
  • 9钟佑明.小波包时频分析及其特性[J].振动.测试与诊断,2009,29(1):51-54. 被引量:24

二级参考文献21

  • 1胡劲松,杨世锡,吴昭同,严拱标.基于EMD和HT的旋转机械振动信号时频分析[J].振动.测试与诊断,2004,24(2):106-110. 被引量:48
  • 2马辉,宋雪萍,赵鑫,闻邦椿.小波包分析在转子裂纹故障检测中的应用[J].振动.测试与诊断,2006,26(4):300-304. 被引量:9
  • 3李丽,林玉池,付鲁华,沈小燕,陈清海.光纤光栅空分光复用传感系统的研究[J].光学精密工程,2007,15(4):473-477. 被引量:20
  • 4Morlet J, Arens G, Fourgeau E, et al. Wave propagation and sampling theory--Part Ⅱ: sampling theory and complex waves [J]. Geophysics, 1982 (2) : 222- 236.
  • 5Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and the Hilbert spectrum for non- linear and non-stationary time series analysis [C]//Proc. Royal Socciety. London: [s. n.], 1998: 903- 995.
  • 6Better algorithms for analyzing nonlinear, nonstationary data[EB/OL].[2005-07-10]. http://tco.gsfc. nasa. gov.
  • 7Loh C H,Wu T C,Huang N E. Application of the empirical mode decomposition-Hilhert spectrum method to identify near-fault ground-motion characteristics and structural responses[J]. Bulletin of the Seismological Society of America, 2001(91) : 1 339-1 357.
  • 8Vasudevan K,Cook F A. Empirical mode skeletonization of deep crustal seismic data: theory and applications [J]. Journal of Geophysical Research-Solid Earth, 2000(105):7 845-7 856.
  • 9Echeverria J C,Crowe J A,Woolfson M S,et al. Application of empirical mode decomposition to heart rate variability analysis[J]. Medical & Biological Engineering & Computing, 2001(39) :471-479.
  • 10MOREY A W, MELTZ G, GLENN W. Fiber optic Bragg grating sensors [J]. Fiber Optic Lasers Sensors VII, 1989,1169:98-107

共引文献39

同被引文献30

引证文献4

二级引证文献24

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部