Structural damage detection based on posteriori probability support vector machine and Dempster-Shafer evidence theory

[1]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[2]  James H. Garrett,et al.  Use of neural networks in detection of structural damage , 1992 .

[3]  James Llinas,et al.  An introduction to multisensor data fusion , 1997, Proc. IEEE.

[4]  Raphael T. Haftka,et al.  Damage Detection and Damage Detectability—Analysis and Experiments , 1997 .

[5]  C. E. Ventura,et al.  Blind test on damage detection of a steel frame structure , 1998 .

[6]  John Platt,et al.  Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods , 1999 .

[7]  Keith Worden,et al.  Damage identification using support vector machines , 2001 .

[8]  Hani G. Melhem,et al.  Damage detection of structures by wavelet analysis , 2004 .

[9]  Tao Li,et al.  Semisupervised learning from different information sources , 2005, Knowledge and Information Systems.

[10]  Keith Worden,et al.  A novel information-gap technique to assess reliability of neural network-based damage detection , 2006 .

[11]  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.

[12]  Gang Xu,et al.  Data Fusion for Traffic Incident Detector Using D-S Evidence Theory with Probabilistic SVMs , 2008, J. Comput..

[13]  Arthur P. Dempster,et al.  Upper and Lower Probabilities Induced by a Multivalued Mapping , 1967, Classic Works of the Dempster-Shafer Theory of Belief Functions.

[14]  Keith Worden,et al.  An evidence-based approach to damage location on an aircraft structure , 2009 .

[15]  Ward Heylen,et al.  Damage Detection with Parallel Genetic Algorithms and Operational Modes , 2010 .

[16]  Min Li,et al.  Hierarchical ensemble-based data fusion for structural health monitoring , 2010 .

[17]  Hyo-Gyoung Kwak,et al.  Structural damage evaluation using genetic algorithm , 2011 .

[18]  Yi Liu,et al.  Integrated soft sensor using just-in-time support vector regression and probabilistic analysis for quality prediction of multi-grade processes , 2013 .

[19]  Honggang Zhang,et al.  Web Multimedia Object Classification Using Cross-Domain Correlation Knowledge , 2013, IEEE Transactions on Multimedia.

[20]  Lei Jia-yan.  Structural Damage Detection Based on Support Vector Machine , 2013 .

[21]  Qifeng Zhou,et al.  Structural damage detection method based on random forests and data fusion , 2013 .