Data Inspecting and Denoising Method for Data-Driven Stochastic Subspace Identification
Data-driven stochastic subspace identification (DATA-SSI) is frequently applied to bridge modal parameter identification because of its high stability and accuracy. However, the existence of abnormal data and noise components may make the identification result of DATA-SSI unreliable. In order to ach...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Wiley
2018-01-01
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| Serier: | Shock and Vibration |
| Online adgang: | http://dx.doi.org/10.1155/2018/3926817 |
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