Robust optimal sensor placement for operational modal analysis based on maximum expected utility

Mechanical Systems and Signal Processing - Tập 75 - Trang 155-175 - 2016
Binbin Li1, Armen Der Kiureghian2,3
1Civil and Environmental Engineering, University of California, Berkeley, CA 94720, United States
2American University of Armenia, Yerevan, Armenia
3Taisei Professor of Civil Engineering Emeritus, University of California, Berkeley, CA 94720, United States

Tài liệu tham khảo

Yuen, 2010 Kammer, 1991, Sensor placement for on-orbit modal identification and correlation of large space structures, J. Guid. Control Dyn., 14, 251, 10.2514/3.20635 Udwadia, 1994, Methodology for optimum sensor locations for parameter identification in dynamic systems, J. Eng. Mech., 120, 368, 10.1061/(ASCE)0733-9399(1994)120:2(368) Borguet, 2008, The Fisher information matrix as a relevant tool for sensor selection in engine health monitoring, Int. J. Rotat. Mach., 2008, 1, 10.1155/2008/784749 Papadimitriou, 2004, Optimal sensor placement methodology for parametric identification of structural systems, J. Sound Vib., 278, 923 Papadimitriou, 2012, The effect of prediction error correlation on optimal sensor placement in structural dynamics, Mech. Syst. Signal Process., 28, 105, 10.1016/j.ymssp.2011.05.019 Trendafilova, 2001, Measurement point selection in damage detection using the mutual information concept, Smart Mater. Struct., 10, 528, 10.1088/0964-1726/10/3/315 B. Li, J. Ou, Optimal sensor placement for structural health monitoring based on K–L divergence, in: Proceeding of Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures, New York, USA, 2013. Li, 2012 Papadopoulos, 1998, Sensor placement methodologies for dynamic testing, AIAA J., 36, 256, 10.2514/2.7509 Heylen, 1998 Debnath, 2012, Placement of sensors in operational modal analysis for truss bridges, Mech. Syst. Signal Process., 31, 196, 10.1016/j.ymssp.2012.04.006 Penny, 1994, Automatic choice of measurement locations for modal survey test, AIAA J., 32, 407, 10.2514/3.11998 Ewins, 2000 Waldraff, 1998, On the use of observability measures for sensor location in tubular reactor, J. Process Control, 8, 497, 10.1016/S0959-1524(98)00017-1 Wilson, 2005, Observability matrix condition number in design of measurement strategies, Comput. Aided Chem. Eng., 20, 397, 10.1016/S1570-7946(05)80188-9 Li, 2011, Sensor deployment for structural health monitoring and their evaluation, Adv. Mech., 41, 39 Li, 2012, Load dependent sensor placement method: theory and experimental validation, Mech. Syst. Signal Process., 31, 217, 10.1016/j.ymssp.2012.04.014 Brehm, 2013, Optimal reference sensor positions using output-only vibration test data, Mech. Syst. Signal Process., 41, 196, 10.1016/j.ymssp.2013.06.039 Vinot, 2005, A robust model-based test planning procedure, J. Sound Vib., 288, 571, 10.1016/j.jsv.2005.07.007 Castro-Triguero, 2013, Robustness of optimal sensor placement under parametric uncertainty, Mech. Syst. Signal Process., 41, 268, 10.1016/j.ymssp.2013.06.022 Heredia-Zavoni, 1998, Optimal instrumentation of uncertain structural systems subject to earthquake ground motions, Earthq. Eng. Struct. Dyn., 27, 343, 10.1002/(SICI)1096-9845(199804)27:4<343::AID-EQE726>3.0.CO;2-F Yuen, 2011, Optimal sensor placement methodology for identification with unmeasured excitation, J. Dyn. Syst. Meas. Control, 23, 677 Flynn, 2010, A Bayesian approach to optimal sensor placement for structural health monitoring with application to active sensing, Mech. Syst. Signal Process., 24, 891, 10.1016/j.ymssp.2009.09.003 Von Neumann, 1953 Reynders, 2012, System identification methods for (operational) modal analysis: review and comparison, Arch. Comput. Methods Eng., 19, 51, 10.1007/s11831-012-9069-x Ni, 2009, Technology innovation in developing the structural health monitoring system for Guangzhou New TV Tower, Struct. Control Health Monit., 16, 73, 10.1002/stc.303 DasGupta, 1991, Robust Bayesian experimental designs in normal linear models, Ann. Stat., 19, 1244, 10.1214/aos/1176348247 Toman, 1993, Robust Bayesian experimental design and estimation for analysis of variance models using a class of normal mixtures, J. Stat. Plan. Inference, 35, 383, 10.1016/0378-3758(93)90024-Z Thomas, 2006 Bernardo, 1979, Expected information as expected utility, Ann. Stat., 7, 686, 10.1214/aos/1176344689 Tiao, 1976, Some Bayesian considerations of the choice of design for ranking, selection and estimation, Ann. Inst. Stat. Math., 28, 167, 10.1007/BF02504738 Eaton, 1996, A predictive approach to the Bayesian design problem with application to normal regression models, Biometrika, 83, 111, 10.1093/biomet/83.1.111 C. Marlings, M. Pozzi, Sensor network optimization using Bayesian networks, decision graphs, and value of information, in: Proceeding of 12th International Conference on Applications of Statistics and Probability in Civil Engineering, Vancouver, Canada, 2015. Garthwaite, 2005, Statistical methods for eliciting probability distributions, J. Am. Stat. Assoc., 100, 680, 10.1198/016214505000000105 Crandall, 1963 Der Kiureghian, 1980, Structural response to stationary excitation, J. Eng. Mech. Div., 106, 1195, 10.1061/JMCEA3.0002659 Harichandran, 1992, Random vibration under propagating excitation: closed‐form solutions, J. Eng. Mech., 118, 575, 10.1061/(ASCE)0733-9399(1992)118:3(575) Chan, 1994, Circulant preconditioners for Toeplitz-block matrices, Numer. Algorithms, 6, 89, 10.1007/BF02149764 Van Loan, 2000, The ubiquitous Kronecker product, J. Comput. Appl. Math., 123, 85, 10.1016/S0377-0427(00)00393-9 Steeb, 1997 Genton, 2007, Separable approximations of space-time covariance matrices, Environmetrics, 18, 681, 10.1002/env.854 Load Code for the Design of Building Structures, 2012 Yi, 2011, Optimal sensor placement for structural health monitoring based on multiple optimization strategies, Struct. Des. Tall Spec. Build., 20, 881, 10.1002/tal.712 Yi, 2012, Sensor placement on Canton Tower for health monitoring using asynchronous-climb monkey algorithm, Smart Mater. Struct., 21, 1 Adhikari, 2008, Wishart random matrices in probabilistic structural mechanics, J. Eng. Mech., 134, 1029, 10.1061/(ASCE)0733-9399(2008)134:12(1029)