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Optimal sensor placement for structural response estimation

Optimal sensor placement for structural response estimation
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摘要 A methodology, termed estimation error minimization(EEM) method, was proposed to determine the optimal number and locations of sensors so as to better estimate the vibration response of the entire structure. Utilizing the limited sensor measurements, the entire structure response can be estimated based on the system equivalent reduction-expansion process(SEREP) method. In order to compare the capability of capturing the structural vibration response with other optimal sensor placement(OSP) methods, the effective independence(EI) method, modal kinetic energy(MKE) method and modal assurance criterion(MAC) method, were also investigated. A statistical criterion, root mean square error(RMSE), was employed to assess the magnitude of the estimation error between the real response and the estimated response. For investigating the effectiveness and accuracy of the above OSP methods, a 31-bar truss structure is introduced as a simulation example. The analysis results show that both the maximum and mean of the RMSE value obtained from the EEM method are smaller than those from other OSP methods, which indicates that the optimal sensor configuration obtained from the EEM method can provide a more accurate estimation of the entire structure response compared with the EI, MKE and MAC methods. A methodology, termed estimation error minimization(EEM) method, was proposed to determine the optimal number and locations of sensors so as to better estimate the vibration response of the entire structure. Utilizing the limited sensor measurements, the entire structure response can be estimated based on the system equivalent reduction-expansion process(SEREP) method. In order to compare the capability of capturing the structural vibration response with other optimal sensor placement(OSP) methods, the effective independence(EI) method, modal kinetic energy(MKE) method and modal assurance criterion(MAC) method, were also investigated. A statistical criterion, root mean square error(RMSE), was employed to assess the magnitude of the estimation error between the real response and the estimated response. For investigating the effectiveness and accuracy of the above OSP methods, a 31-bar truss structure is introduced as a simulation example. The analysis results show that both the maximum and mean of the RMSE value obtained from the EEM method are smaller than those from other OSP methods, which indicates that the optimal sensor configuration obtained from the EEM method can provide a more accurate estimation of the entire structure response compared with the EI, MKE and MAC methods.
出处 《Journal of Central South University》 SCIE EI CAS 2014年第10期3993-4001,共9页 中南大学学报(英文版)
基金 Project(2011CB013804)supported by the National Basic Research Program of China
关键词 estimation error minimization(EEM) system equivalent reduction-expansion process(SEREP) optimal sensor placement(OSP) root mean square error(RMSE) 传感器优化布置 估计误差 结构响应 结构振动响应 MAC方法 模态动能 均方根误差 EEM
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  • 1缪长青,邓扬,丁幼亮,李爱群.Damage alarming for bridge expansion joints using novelty detection technique based on long-term monitoring data[J].Journal of Central South University,2013,20(1):226-235. 被引量:4
  • 2LI Dong-sheng, L1 Hong-nan, FRITZEN C P. The connection between effective independence and modal kinetic energy methods for sensor placement [J]. Journal of Sound and Vibration, 2007, 305(4/5): 945-955. 被引量:1
  • 3KANG Fei, LI Jun-jie, XU Qing. Virus coevolution partheno-geneticalgorithms for optimal sensor placement [J]. Advanced Engineering Informatics, 2008, 22(3): 362-370. 被引量:1
  • 4YI Ting-hua, LI Hong-nan, GU Ming. Sensor placement for structural health monitoring of Canton Tower [J]. Smart Structures and Systems, 2012, 10(4/5): 313-329. 被引量:1
  • 5KAMMER D C. Sensor placement for on-orbit modal identification and correlation of large space structures [J]. Journal of Guidance, Control and Dynamics, 1991, 14(2): 251-259. 被引量:1
  • 6IMAMOVIC N. Model validation of large finite element model using test data [D]. London: Imperial College London, 1998. 被引量:1
  • 7PAPADIMITR/OU C. Optimal sensor placement methodology for parametric identification of structural systems [J]. Journal of Sound and Vibration, 2004, 278(4/5): 923-947. 被引量:1
  • 8TONGPADUNGROD P, RHYS T D L, BRETT P N. An approach to optimise the critical sensor locations in one dimensional novel distributive tactile surface to maximize performance [J] Sensors and Actuators A-Physical, 2003, 105(1): 45-54. 被引量:1
  • 9HEO G, WANG M L, SATPATHI D. Optimal transducer placement for health monitoring of long span bridge [J]. Soil Dynamics and Earthquake Engineering, 1997, 16(7/8): 495-502. 被引量:1
  • 10CARNE J M, DOHRMANN C R. A modal test design strategy for model correlation [C]// Proceedings of the 13th International Modal Analysis Conference. Nashville: TN, 1995: 927-935. 被引量:1

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