Damage Detection Based on Transmissibility and Singular Value Entropy

China Mechanical Engineering ›› 2013, Vol. 24 ›› Issue (17): 2382-2385.

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Damage Detection Based on Transmissibility and Singular Value Entropy

Yang Bin;Cheng Junsheng

State Key Laboratory of Advanced Design and Manufacture for Vehicle Body,Hunan University,Changsha,410082

Online:2013-09-10 Published:2013-09-22
Supported by:

National Natural Science Foundation of China（No. 51075131,51175158）;

Hunan Provincial Natural Science Foundation of China（No. 11jj2026）;
Fundamental Research Funds for the Central Universities( No. 531107040301 )

基于振动传递率函数和奇异值熵的结构损伤检测方法

杨斌;程军圣

湖南大学汽车车身先进设计制造国家重点实验室,长沙,410082

基金资助:
国家自然科学基金资助项目(51075131,51175158);湖南省自然科学基金资助项目(11jj2026);中央高校基本科研业务费专项基金资助项目(531107040301)；湖南大学汽车车身先进设计制造国家重点实验室自主课题资助项目(61075002)
National Natural Science Foundation of China（No. 51075131,51175158）;

Hunan Provincial Natural Science Foundation of China（No. 11jj2026）;
Fundamental Research Funds for the Central Universities( No. 531107040301 )

Abstract

Abstract:

A damage detection method based on transmissibility and
singular value entropy was proposed to detect damage in structures without acquiring
the exciting force and the damage features were extracted directly from the vibration response.Transmissibility was obtained by taking the ratio of two response spectra,and
then the singular spectrum value was acquired by singular value decomposition of the
transmissibility matrix after phase space reconstruction,which can be used as an
indicator for damage detection.Experimental tests undertaken on a three story
structure validate the proposed method.

Key words: structural damage detection, transmissibility, phase space, singular value entropy

摘要：

为了直接通过结构振动响应提取损伤特征,对激励未知情况下的结构损伤进行检测,提出了基于振动传递率函数和奇异值熵的损伤检测方法。该方法首先通过振动响应获得振动传递率函数,然后对振动传递率函数序列进行相空间重构,求取其奇异值熵,通过奇异值熵的大小来识别损伤模式。实验结果表明,该方法能有效地识别结构的损伤模式。

关键词: 结构损伤, 振动传递率函数, 相空间, 奇异值熵

CLC Number:

O329

杨斌;程军圣. 基于振动传递率函数和奇异值熵的结构损伤检测方法[J]. 中国机械工程, 2013, 24(17): 2382-2385.

References

[1]Alvandi A,Cremona C. Assessment of Vibration- based Identification Techniques Damage[J]. Journal of Sound and Vibration,2006,292(1/2) :179-202.
[2]Doebling 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.
[3]Ruotolo R,Surace C. Using Svd to Detect Damage in Structures with Different Operating Conditions[J]. Journal of Sound and Vibration, 1999,226 (3) : 425- 439.
[4]Zang C,Imregun M. Combined Neural Network and Reduced FRF Techniques for Slight Damage Detec-tion Using Measured Response Data[J]. Archieve of Applied Mechanics, 2001,71(8) : 525-536.
[5]Ni Y Q,Zhou X T,Ko J M. Experimental Investiga- tion of Seismic Damage Identification Using PCA- compressed Frequency Response Functions and Neural Networks[J]. Journal of Sound and Vibra- tion, 2006,290(1/2) : 242-263.
[6]Ribeiro A M R,Silva J M M, Maia N M M. On the Generalisation of the Transmissibility Concept[J]. Mechanical Systems and Signal Processing, 2000,14 (1) :29-35.
[7]Maia N M M, Raquel A B. Damage Detection and Quantification Using Transmissibility[J]. Mechani- cal Systems Signal Processing, 2011,25 ( 7 ) : 2475 - 2483.
[8]Devriendt C, Steenackers G, Sitter G, et al. From Operating Deflection Shapes Towards Mode Shapes Using Transmissibility Measurements[J]. Mechan- ical Systems and Signal Processing, 2010,24 (3) : 665-677.
[9]于德介[1],陈淼峰[1],程军圣[1],杨宇[1].基于EMD的奇异值熵在转子系统故障诊断中的应用[J].振动与冲击,2006,25(2):24-26.
[10]da Silva S,Dias M,Lopes V,et al. Structural Dam- age Detection by Fuzzy Clustering[J]. Mechanical Systems and Signal Processing, 2008,22 (7) ~ 1636- 1649.
[11]Clement A, Laurens S. An Alternative to the Lya- punov Exponent as a Damage Sensitive Feature [J]. Smart Materials and Structures, 2011,20 (2) 025017.
[12]Zang C, Friswell M I,Imregun M. Structural Dam- age Detection Using Independent Component Anal- ysis[J]. Structural Health Monitoring, 2004,3 ( 1 ) : 69-83.
[13]郑慧峰[1],吕江明[1],张斌[1],杨辰龙[2].基于FastICA的超声A波信号降噪研究[J].中国机械工程,2012,23(10):1135-1139.

Damage Detection Based on Transmissibility and Singular Value Entropy

基于振动传递率函数和奇异值熵的结构损伤检测方法

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