This paper presents results of modal identification and damage detection on the Steel-Quake structure using the autoregressive moving average vector and data-driven stochastic subspace methods. The methods directly work with the recorded time signals and allow to analyse linear systems where only th
A Novel Data-Driven Bilinear Subspace Identification Approach
β Scribed by Hua Yang; Shaoyuan Li
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 246 KB
- Volume
- 85
- Category
- Article
- ISSN
- 0008-4034
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