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78 Chapter 3. Identification from multi-patch non-stationary operational datathe PoGER method. The latter can be explained by the pre-scaling of the dataused with the PreGER approach. Due to this operation, a better signal to noiseratio can be obtained if an average is used of the reference signals from all patches.Apart from the experiments conducted in this Chapter, the PoGER and PreGERapproach were also applied to the Z24 bridge system identification benchmarkdescribed in Chapter 5.
3.6. Conclusion 79ZYX(a)YZXY(b)(c)Figure 3.18: Mode shape estimate of 5 th mode obtained from multi-patch patch dataset with PreGER approach: 3-D view (a), planar views (b–c).ZYX(a)YZXY(b)(c)Figure 3.19: Mode shape estimate of 6 th mode obtained from multi-patch data set withPreGER approach: 3-D view (a), planar views (b–c).
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VRIJE UNIVERSITEIT BRUSSELSCI EN T
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VRIJE UNIVERSITEIT BRUSSELSCI EN T
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VoorwoordEerst en vooral wens ik mi
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viiiContents2.4 Case study: stairwa
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xContents6.4 Conclusions . . . . .
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xiiContents9.5.4 Sensitivity-based
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2 Chapter 1. Introduction1.1 Resear
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4 Chapter 1. Introductionartificial
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6 Chapter 1. Introduction1.2 Focus
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8 Chapter 1. Introductionproblem. I
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128 Chapter 5. Application to real-
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130 Chapter 5. Application to real-
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132 Chapter 6. Force identification
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154 Chapter 7. Input-output and out
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220 Chapter 8. Identification of da
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242 Chapter 9. Non-linear structura
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276 Chapter 10. ConclusionsVerboven
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278 Chapter 10. Conclusionsstructur
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280 Chapter 10. Conclusions
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282 BibliographyCao, T. and Zimmerm
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284 BibliographyFrost, N., Marsh, K
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286 BibliographyLü, Z., Shao, C. a
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288 BibliographyPintelon, R. and Sc
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290 BibliographyVerboven, P. (2002)
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