1 |
Chan, T.H.T., Li, Z.X. and Ko, J.M. (2004), "Evaluation of typhoon induced fatigue damage using health monitoring data for the Tsing Ma Bridge", Struct. Eng. Mech., 17(5), 655-670
DOI
ScienceOn
|
2 |
Cho, H.N., Choi, Y.M., Lee, S.C. and Hur, C.K. (2004), "Damage assessment of cable stayed bridge using probabilistic neural network", Struct. Eng. Mech., 17(3-4), 483-492
DOI
ScienceOn
|
3 |
Doebling, S.W. and Farrar, C.R. (1999), "The state of the art in structural identification of constructed facilities", Los Alamos: Los Alamos National Laboratory Report DRAFT
|
4 |
Fasel, T.R., Sohn, H., Park, G. and Farrar, C.R. (2005), "Active sensing using impedance-based ARX models and extreme value statistics for damage detection", Earthq. Eng. Struct. Dyn., 34(7), 763-785
DOI
ScienceOn
|
5 |
Hall, D.L. (1992), Mathematical Techniques in Multi-sensor Data Fusion, Boston: Atech House
|
6 |
Maity, D. and Tripathy, R.R. (2005), "Damage assessment of structures from changes in natural frequencies using genetic algorithm", Struct. Eng. Mech., 19(1), 21-42
DOI
ScienceOn
|
7 |
Shafer, G.A. (1976), A Mathematical Theory of Evidence, New Jersey: Princeton University Press
|
8 |
Shahawy, M.A. and Arocklasamy, M. (1996), "Field instrumentation to study the time-dependent behavior in Sunshine Skyway Bridges I", J. Bridge Eng., ASCE, 1(2), 76-86
DOI
|
9 |
Steinberg, A.N., Bowman, C.L. and White, F.E. (1999), "Revisions to the JDL data fusion model", Sensor Fusion: Architectures, Algorithms, and Applications III, Orlando, Florida
|
10 |
Sun, Z. and Chang, C.C. (2002), "Structural damage assessment based on wavelet packet transform", J. Struct. Eng., ASCE, 128(10), 1354-1361
DOI
ScienceOn
|
11 |
Xiao, C., Qu, W.L. and Tan, D.M. (2005), "An application of data fusion technology in structural health monitoring and damage identification", Smart Structures and Materials 2005: Smart Sensor Technology and Measurement Systems, Bellingham, WA
|
12 |
Yeung, W.T. and Smith, J.W. (2005), "Damage detection in bridges using neural networks for pattern recognition of vibration signatures", Eng. Struct., 27(5), 685-698
DOI
ScienceOn
|