ABSTRACT

Structural Health Monitoring and Integrity Management is a collection of the papers presented at the 2nd International Conference of Structural Health Monitoring and Integrity Management (ICSHMIM2014, Nanjing, China, 24-26 September 2014), and addresses the most recent developments in the field of Structural Health Monitoring (SHM) and integrity ma

chapter |1 pages

Session 1: Advanced sensing technology

chapter |5 pages

 (x)  (x)  (x)

chapter |4 pages

Study on integrated sensor for metal structure fatigue monitoring

Rong Hong Cui, Yu Ting He, Bo Jing & Bo Hou
ByR.H. Cui, Y.T. He, B. Jing & B. Hou

chapter |3 pages

signals, namely the measurement of the partial dis-charge pulse current. The Roche coil works in mag-netic coupling, and the detecting circuit and the high-voltage circuit has no direct contact, so it is very suitable for the partial discharge site inspection in the high-voltage switchgear. 3 APPLICATION OF HIGH-FREQUENCY PULSE CURRENT SENSOR IN THE WAIST STATION FOR 35 KV SWITCH CABINET A 220 KV waist station is located on a hill, which is far from about 2 km to the north of Yang street , 4 DATA DETECTION AND ANALYSIS OF Lufeng town, Lufeng country of Chuxiong city , alti-SWITCHGEAR HIGH FREQUENCY FOR tude 1923 km, which covers an area of 22876 m PARTIAL DISCHARGE and put into production on December 25, 2009. It is one of the most important substation of Chuxiong During the 2-month testing for the Chuxiong waist Lufeng area. The main power source is supplied by station , we selected the data from April 23 to May 220 KV and 500 KV peace waist I changed back 25 in 2014 for effective analysis, and found that the line, 220 kV and waist II loop power. current data of the eight high-frequency pulse cur-rent sensor is normal, so we selected three sensor

chapter |4 pages

Binocular stereo vision measurement system based on SOPC

Jie Tian, Guanglong Wang, Jinlun Li, Fengqi Gao & Zhongtao Qiao
ByJ. Tian, G. Wang, J. Li, F. Gao & Z. Qiao

chapter |7 pages

Forklift turning and braking stability analysis

Xinhua Wang Yinmin Liu Guojian Huang
ByX. Wang, Y. Liu, G. Huang & Q. Peng

chapter |1 pages

Session 2: Novel signal processing

chapter |4 pages

Sparsity-enabled denoising method based on tunable Q-factor wavelet transform for bearing fault diagnosis

Baoqing Ding, Chaowei Tong, Wei Xin, Shibin Wang & Xuefeng Chen Wenliang Xu & Zhe Chen
ByB. Ding, C. Tong, W. Xin, S. Wang, X. Chen, W. Xu & Z. Chen

chapter |2 pages

large fluctuation, which usually think grid is resistive obvious or perceptual characteristics of different. Frequency domain analysis of impedance values As can be seen from the test station area topology, in the Tai area, power line wiring is complex, with many branches, and longer. In such a high frequency, signal propagation environment can large fluctuation, which usually think large fluctuation, which usually think grid is r te i sc i ss t o if v e d if ofe b rv e in o tu . s or perceptual characteristics of different. Frequency doma in analysis of es d nn c vm al u ee s Apo s ne f mi a th t es sw ta ae r ea ori p og l o Ti a im ar ay , oa w eh r , i ne wd i r nn g sr . c o ec x mh a ye q b ancy h agn d go e . g I sn u ch av ir h gm h rt e qu y, ss i n al pm ro p nip at e nr m er n tce c es a l fn o r aq ue m ly-ti

easily form a multipath interference, grid is resistive obvious or perceptual resulting in a frequency-selective fading, character is and the fading signal and the power line network are at this point in the frequency Frequency domain analysis of

chapter |4 pages

An online error correction method based on odometer and MIMU

Tao Lai, Guanglong Wang, Wenjie Zhu, Fengqi Gao & Zhongtao Qiao
ByT. Lai, G. Wang, W. Zhu, F. Gao & Z. Qiao

chapter |3 pages

ϕ (i −1) − 2ϕ (i) +ϕ (i +1)

chapter |2 pages

Power spectral density in seismic qualification of nuclear equipment

Zaozhan Sun K(Z,W ,[)](W
ByZ. Sun

chapter |2 pages

^ <W `

chapter |5 pages

Research on ultrasonic phased array signal processing based on compressed sensing

Yajie Sun, Jian Jiang & Yonghong Zhang Yajie Sun & Sai Ji
ByY. Sun, J. Jiang, Y. Zhang & S. Ji

chapter |3 pages

coils is also presented in Section 2. The simulation produced by the Helmholtz coils, which damages the results about the optimum parameter for Helmholtz uniform magnetic field. Therefore, theoretical coils are presented in Section 3. Finally, conclusion parameters of Helmholtz coils cannot be used and further work are outlined in Section 4. directly in edge detection. By extracting temperature information using COMSOL via the AC/DC module, we can confirm which optimum parameters 2 METHODOLOGY AND EXPERIMENT SETUP of Helmholtz coils can produce most effective Helmholtz coils are a special arrangement of air-excitation for edge detection. cored coils, and they are all used as a means of This simulation is conducted using COMSOL generating magnetic fields that are uniform over a multiphysics FEM simulation software via the volume (Cakir ). According to Biot-Savart AC/DC module. Fig. 1 shows the constitution of law, magnetic flux density at any point on the axis of Helmholtz coils testing, where r is the minor radius Helmholtz coils can be calculated from Equation (1) of Helmholtz coils, r is the major radius of (Bronaugh )： Helmholtz coils, h is the sample height, d is the N Ir N Ir distance between Helmholtz coils edge and sample H  H H   (1) edge, and z is the distance between Helmholtz coils. 2  r a  2  r a  The physical characteristics of the model to be simulated and studied are given in Table 1. The According to the definition of Helmholtz coils, geometry of the sample is 40502 mm ; the r  r  r , N  N 1 and 2a  2a  r . major and minor radii of Helmholtz coils are equal Using Taylor series expansion and calculating the to 10 mm and 2 mm, respectively, and the turns differential of H (0) (when z  0 ), after some equal 1. The excitation module is a small period (0.3 s) of high-frequency current (256 kHz). manipulation, Equation (1) becomes Table 1. Electrical and thermal parameters for steel  144  z   used in the simulation H ( z )  H (0)   1   125  r   (2)     

to [–1,1], using variance to indicate the homogeneity. In all situations, the optimal parameter

chapter |4 pages

d2yε(x)

chapter |1 pages

Session 3: Damage diagnosis

chapter |4 pages

Nonlinear ultrasonic detection of bonding interface gap defect

Zhouyang Bi, Jianhui Chen & Guanglong Wang
ByZ. Bi, J. Chen & G. Wang

chapter |4 pages

Acoustic emission detection in the inspection of wrapped cylinders

Xuerong Ma, Li Yao, Jifeng Zuo, Kaibai Yue, Xiaohui Chen & Jun Lu
ByX. Ma, L. Yao, J. Zuo, K. Yue, X. Chen & J. Lu

chapter |3 pages

Structure crack monitoring based on long-gauge FBG sensor

Wentao Zhang & Fang Li Lin Huang Ce Bian, Hongbin Xu & Yanliang Du
ByW. Zhang, F. Li, L. Huang, C. Bian, H. Xu & Y. Du

chapter |1 pages

Sensor performance analysis for crane structural health monitoring system

Guojian Huang Donghui Wang, Min Chen & Xinhua Wang
ByG. Huang, D. Wang, M. Chen & X. Wang

chapter |5 pages

Study on aircraft structure strain-gage loads-monitoring method

Yuan Tian & Yingchun Xiao
ByY. Tian & Y. Xiao

chapter |6 pages

Opportunities and challenges of aircraft SHM

Yingchun Xiao & Xiasheng Sun
ByY. Xiao & X. Sun

chapter |4 pages

Multipoint bolts loosening detection system based on active RF

Shaowu Fu & Jian Wu Lihua Liu & Xia Zhao
ByS. Fu, J. Wu, L. Liu & X. Zhao

chapter |3 pages

Monitoring of brake performance in service of hoisting machinery

Jianhua Gong, Keqin Ding, Lei Wang & Chuanqi Zhu
ByJ. Gong, K. Ding, L. Wang & C. Zhu

chapter |4 pages

Research on health monitoring decision-making method of in-service hoisting machinery

Guan-Si Liu, Ke-Qin Ding, Fan-Fu Kong, Hua-Zhong Wei & An-Qing Shu
ByG.S. Liu, K.Q. Ding, F.F. Kong, H.Z. Wei & A.Q. Shu

chapter |3 pages

slope supporting structure have shown significant sensor. The main structure of the strain sensor cracks and deformation, as shown in Figure 1. includes steel pipes for pasting the Bragg grating, a flange for fixing the sensor, self-locking nuts for fixing the armored cable, and so on. When the strain sensors are buried in the strain pile, the flange is firmly fixed in the mortar of the strain pile so that the flange can make the fiber Bragg grating strained in the axial direction. The center wavelength shift of the wf a se c ro B nr n ae g cg t ed to the main control room; the server d afo c uw is t ion and analysis on the data sent by sensors. The server was able to be remotely accessed th rough the network for checking the stability of the s eΛ i s uh c monitoringof the structural stabilityof the mountain

grating caused by strain can be expresse ΔΛ+2n Λ (1) where is the fiber-optic effect an elastic deformation of the fiber itself. When the fiber is deformed, pitch a ractive we designed a self-locking fiber Bragg grating s

chapter |1 pages

Risk analysis method for mobile cranes and its application

Xu-Sheng Zhou, Ping Zhou & Shi-Yong Hu
ByX.S. Zhou, P. Zhou & S.Y. Hu

chapter 9|3 pages

9 . . TThhee si stiu tu at aito io nnooff fu fu ll l -l t -i t m im e e rrrr   r r      rrrr   r r   ( b ( b , b , b ,  ,  , b , b ) ) = ( a ( a , a , a ,  ,  , a , a ) )      =             r  rrr    r r  (4) (4) TThhee ultimate goal of using the FAHP is to find ultimate goal of using the FAHP is to find oouuttth th eere re la la ti t v iv eewwee ig ig hhttooffeeaacchh ind indic ic a a to to r r to to oovvee ra ra ll l l ggooaallooffAA . . A A ss s u su m m in in ggth th aattth th eewwee ig ig hhttvvaa lu lu eevveecc to to rrooff eeaacchh in in d d ic ic a a to to rroonn th th eemm id id d d le le ti t e ie rrBB re re la la ti t v iv e e to to th th e e oovvee ra ra ll llggooaallooffAAisisaassfo fo ll l o lo wws: s : W W = { { w w , w , w ,. , . . . . . . w .w } } = (5 (5) ) The weight value vector of each indicator on the in in ddeexxla la yyeerrCCre re la la ti t v iv eeto to t h th eemm id id d d le le l a la yyeerrBBisisaassfo fo l-l- lo lo wws: s : (6 (6 ) ) AAnnddth th eewwee ig ig hhttvvaa lu lu eevveecc to to rrooffeeaacchhin in d d ic ic a a to to rroonnTThheeppoo ss sisb ib il iilt ity the index layer C relative to the overall goal of A is y in in fl f u lu eenncceefa fa c c to to rrin in d d ic ic a a to to rs rsaannddth th e e the index layer C relative to the overall goal of A is as follows: ccoonn se se qquueenn ti t a ia llin in fl f u lu as follows: eenncceefa fa c c to to rrin in d d ic ic a a to to rs rsaa re re d d iv iv id id eedd in in to to fo fo uurrdd if iffe fe re re nntt le le vvee ls l , s , eeaacchh le level corre vel corresp sp oonndd in in g g (7 (7 ) ) to to d d if iffe fe re re nnttgg ra ra ddeess ( a (a sssh sh oowwnnin in TTaabb le le 2 2 ). ) . In In t h th is isaa rt ritc ic le le , , t h th eefu fu zzzzyyccoonn si ssitse te nnttju ju ddggmmeennttmmaa --tr tirx ix eessoofffa fa il i u lu re re p p ro ro bbaabb il iiltiy ty aannddfa fa il i u lu re re c con onse se qquueennccee Table 2. The Indicator Score Table of the Mobile a a re re e e st s a ta b b li lsih sh eeddbbaa se se ddoonnth th eefu fu zzzzyyccoonn si ssitse te n nt matrix Table 2. The Indicator Score Table of the Mobile t matrix Crane Risk Factors bbyyPP ro ro fe fe ss s o so r r Ji J a ia nnggLL ia ia nnggkkuui. i . AAccccoo rd rd in in g g to to th the Cr Fv a tors wwee ig ig hhttvvaa lu lu eeccaa lc lc u u la la ti t o io nnmmee th th ooddoofffu fu zzzzyyccoonn si ssitse te nntt matrix matrix bbyyPP ro ro fe fe ss s o so rrLLvvYYuuee ji j n in , , f u fu zzzzyyccoonn si ssitse te nnttmmaa --tr tirx ix wwee ig ig h h ts tsWWccaannbbeeeexxpp re re ss s e se ddaassfo fo ll l o lo wws: s : 3 Determination of Index Weight (8 (8) ) AAccccoo rd rd in in g g to to th th eeFFAAHHPP , , wwee ig ig h h ts tsooffpp ro ro bbaabb il ili The FAHP ity ty The FAHP isisuu se se ddto to ddee te te rm rm in in eeth th eein in ddeexxwwee ig ig hht. t . A A indicators and consequential indicators are factor set is: U = {u , u , …, u }. The evaluation set indicators and consequential indicators are oobb ta ta in in eedd , , factor set is: U = {u, u, …, u}. The evaluation set as shown in Table 3 and Table 4.

manag 10. Equipment management 10. Equipment management Management 12. Regular maintenance and inspection inspection 13. Use of life 13. Use of life The FAHP
ByDetermination of Index Weight Determination of Index Weight

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