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128 Chapter 5. Application to real-life case studies(a)(b)(c)(d)Figure 5.16: Mode shape estimates obta<strong>in</strong>ed from the Z24 bridge with ambient excitation:modes 5, 7–8 and 10, respectively <strong>in</strong>dicated as a–d.were obta<strong>in</strong>ed for the PoGER approach.A more quantitative comparison, on a basis <strong>of</strong> MAC values between mode shapeestimates obta<strong>in</strong>ed from ambient and shaker excitation, is shown <strong>in</strong> Fig. 5.17.Apart from mode 7, which was a highly complex mode, all MAC values are relativelyhigh <strong>in</strong>dicat<strong>in</strong>g a good agreement between the mode shapes found with bothtypes <strong>of</strong> excitation.5.3 ConclusionsIn this Chapter, OMA and some <strong>of</strong> its related <strong>techniques</strong> were applied to tworeal-life case studies: an agricultural tractor-sprayer boom comb<strong>in</strong>ation and theZ24 bridge <strong>system</strong> <strong>identification</strong> benchmark.In the first part <strong>of</strong> the Chapter, a comparison was made between ML <strong>identification</strong>results <strong>of</strong> classic <strong>in</strong>put-output and output-only modal test<strong>in</strong>g experiments

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