Controlled Monte Carlo data generation for statistical damage identification employing Mahalanobis squared distance
暂无分享,去创建一个
[1] Keith Worden,et al. EXPERIMENTAL VALIDATION OF A STRUCTURAL HEALTH MONITORING METHODOLOGY: PART II. NOVELTY DETECTION ON A GNAT AIRCRAFT , 2003 .
[2] K. Worden,et al. The application of machine learning to structural health monitoring , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[3] Subhash Sharma. Applied multivariate techniques , 1995 .
[4] Angel R. Martinez,et al. Computational Statistics Handbook with MATLAB , 2001 .
[5] Charles R. Farrar,et al. Novelty detection in a changing environment: Regression and interpolation approaches , 2002 .
[6] W. L. Dunn,et al. Exploring Monte Carlo Methods , 2011 .
[7] Hoon Sohn,et al. DATA NORMALIZATION: A KEY FOR STRUCTURAL HEALTH MONITORING , 2001 .
[8] Charles R. Farrar,et al. Applying the LANL Statistical Pattern Recognition Paradigm for Structural Health Monitoring to Data from a Surface-Effect Fast Patrol Boat , 2001 .
[9] Hoon Sohn,et al. A Review of Structural Health Review of Structural Health Monitoring Literature 1996-2001. , 2002 .
[10] Richard A. Johnson,et al. Applied Multivariate Statistical Analysis , 1983 .
[11] Angel R. Martinez,et al. : Exploratory data analysis with MATLAB ® , 2007 .
[12] Connie M. Borror,et al. Methods of Multivariate Analysis, 2nd Ed. , 2004 .
[13] Audra E. Kosh,et al. Linear Algebra and its Applications , 1992 .
[14] Clemens Reimann,et al. Multivariate outlier detection in exploration geochemistry , 2005, Comput. Geosci..
[15] Gene H. Golub,et al. Matrix computations (3rd ed.) , 1996 .
[16] Charles R. Farrar,et al. Structural health monitoring algorithm comparisons using standard data sets , 2009 .
[17] Keith Worden,et al. DAMAGE DETECTION USING OUTLIER ANALYSIS , 2000 .
[18] David A. Nix,et al. Vibration–based structural damage identification , 2001, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[19] Charles R. Farrar,et al. Machine learning algorithms for damage detection under operational and environmental variability , 2011 .
[20] David P. Thambiratnam,et al. Effects of Wireless Sensor Network Uncertainties on Output-Only Modal-Based Damage Identification , 2014 .
[21] Mustafa Gul,et al. Statistical pattern recognition for Structural Health Monitoring using time series modeling: Theory and experimental verifications , 2009 .
[22] Charles R. Farrar,et al. The fundamental axioms of structural health monitoring , 2007, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[23] Charles R. Farrar,et al. Structural Health Monitoring: A Machine Learning Perspective , 2012 .