[1]DONG Xiaoyuan,PENG Zhenrui,YIN Hong,et al.Distance coefficient-Fisher information criterion for optimal sensor placement[J].CAAI Transactions on Intelligent Systems,2017,12(1):32-37.[doi:10.11992/tis.201604026]
Copy
Distance coefficient-Fisher information criterion for optimal sensor placement
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
12
Number of periods:
2017 1
Page number:
32-37
Column:
学术论文—机器感知与模式识别
Public date:
2017-02-25
- Title:
- Distance coefficient-Fisher information criterion for optimal sensor placement
- Keywords:
- optimal sensor placement; damage detection; Fisher information matrix; information redundancy; Euclidean distance; sensitivity analysis; modal analysis
- CLC:
- TP391
- DOI:
- 10.11992/tis.201604026
- Abstract:
- For damage parameters identification, when the traditional Fisher information criterion is used for optimal sensor placement, the measuring points are susceptible to gathering in a local sensitivity area, which results in information redundancy and this is not conducive to damage location. To avoid aggregation of the measuring points and improve the ability of the damage location, the distance coefficient, which reflects the degree of information independence, was used first to correct the Fisher information matrix, and then the measuring points were obtained by maximizing the determinant of the modified information matrix using a sequential algorithm. The method was employed to design the optimal sensor configuration for a simple 16-DOF chain mass-spring model. The results show the method can effectively avoid the aggregation of measuring points and solve the problem of information redundancy.
- References:
-
[1] SHADAN F, KHOSHNOUDIAN F, ESFANDIARI A. A frequency response-based structural damage identification using model updating method[J]. Structural control & health monitoring, 2016, 23(2): 286-302.
[2] 胡焕. 基于频响函数的动力学模型修正方法研究[D]. 上海: 上海交通大学, 2010. HU Huan. Investigation of dynamics model updating method based on FRF[D]. Shanghai: Shanghai Jiao Tong University, 2010.
[3] 卢洋. 基于频响函数模式置信准则的桥梁损伤动力识别方法研究[D]. 北京: 北京交通大学, 2014. LU Yang. Study on dynamic identification method for bridge damage based on signature assuerance cretrion of frequency response functions[D]. Beijing: Beijing Jiaotong University, 2014.
[4] HE Can, XING Jianchun, LI Juelong, et al. A new optimal sensor placement strategy based on modified modal assurance criterion and improved adaptive genetic algorithm for structural health monitoring[J]. Mathematical problems in engineering, 2015, 2015: 1-10.
[5] DEBNATH N, DUTTA A, DEB S K. Placement of sensors in operational modal analysis for truss bridges[J]. Mechanical systems and signal processing, 2012, 31: 196-216.
[6] YI T H, WANG X, LI H N. Optimal placement of triaxial accelerometers using modal kinetic energy method[J]. Applied mechanics and materials, 2012, 166-169: 1583-1586.
[7] 伊廷华, 李宏男, 顾明. 基于模型缩聚的广州新电视塔传感器优化布置研究[J]. 工程力学, 2012, 29(3): 55-61. YI Tinghua, LI Hongnan, GU Ming. Research on optimal sensor placement of Guangzhou new TV tower based on model reduction[J]. Engineering mechanics, 2012, 29(3): 55-61.
[8] UDWADIA F E. Methodology for optimum sensor locations for parameter identification in dynamic systems[J]. Journal of engineering mechanics, 1994, 120(2): 368-390.
[9] 李东升, 张莹, 任亮, 等. 结构健康监测中的传感器布置方法及评价准则[J]. 力学进展, 2011, 41(1): 39-50. LI Dongsheng, ZHANG Ying, REN Liang, et al. Sensor deployment for structural health monitoring and their evaluation[J]. Advances in mechanics, 2011, 41(1): 39-50.
[10] KAMMER 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.
[11] KAMMER D C, TINKER M L. Optimal placement of triaxial accelerometers for modal vibration tests[J]. Mechanical systems and signal processing, 2004, 18(1): 29-41.
[12] YI Tinghua, LI Hongnan, WANG Chuanwei. Multiaxial sensor placement optimization in structural health monitoring using distributed wolf algorithm[J]. Structural control & health monitoring, 2016, 23(4): 719-734.
[13] CASTRO-TRIGUERO R, SAAVEDRA FLORES E I, DIAZDELAO F A, et al. Optimal sensor placement in timber structures by means of a multi-scale approach with material uncertainty[J]. Structural control & health monitoring, 2014, 21(12): 1437-1452.
[14] NIMITYONGSKUL S, KAMMER D C. Frequency response based sensor placement for the mid-frequency range[J]. Mechanical systems and signal processing, 2009, 23(4): 1169-1179.
[15] FRISWELL M I, CASTRO-TRIGUERO R. Clustering of sensor locations using the effective independence method[J]. AIAA journal, 2015, 53(5): 1388-1391.
[16] LI Shiqi, ZHANG Heng, LIU Shiping, et al. Optimal sensor placement using FRFs-based clustering method[J]. Journal of sound and vibration, 2016, 385: 69-80.
[17] 李宾宾. 基于信息论的结构健康监测传感器优化布置[D]. 大连: 大连理工大学, 2012. LI Binbin. Information theoretic optimal sensor placement in structural health monitoring[D]. Dalian: Dalian University of Technology, 2012.
[18] 周述美, 鲍跃全, 李惠. 基于子结构灵敏度分析的传感器优化布置[J]. 地震工程与工程振动, 2014, 34(4): 242-247. ZHOU Shumei, BAO Yuequan, LI Hui. Optimal sensor placement based on substructure sensitivity analysis[J]. Earthquake engineering and engineering dynamic, 2014, 34(4): 242-247.
[19] 白雪. 聚类分析中的相似性度量及其应用研究[D]. 北京: 北京交通大学, 2012. BAI Xue. Similarity measures in cluster analysis and its applications[D]. Beijing: Beijing Jiaotong University, 2012.
[20] 何龙军, 练继建, 马斌, 等. 基于距离系数-有效独立法的大型空间结构传感器优化布置[J]. 振动与冲击, 2013, 32(16): 13-18. HE Longjun, LIAN Jijian, MA Bin, et al. Optimal sensor placement for large space structures based on distance coefficient-effective independence method[J]. Journal of vibration and shock, 2013, 32(16): 13-18.
- Similar References:
Memo
-
Last Update:
1900-01-01