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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 45604 (09)
- University: Sharif University of Technology
- Department: Civil Engineering
- Advisor(s): Kazemi , Mohammad Taghi
- Abstract:
- Blind source separation methods such as independent component analysis (ICA) and second order blind identification (SOBI) have shown considerable potential in the area of ambient vibration system identification. The objective of these methods is to separate the modal responses, or sources, from the measured output responses, without the knowledge of excitation. Several frequency domain and time domain methods have been proposed and successfully implemented in the literature. Whereas frequency-domain methods pose several challenges typical of dealing with signals in the frequency-domain, popular time domain methods such as NExT/ERA and SSI pose limitations in dealing with noise, low sensor density, modes having low energy content, or in dealing with systems having closely spaced modes, such as those found in structures with passive energy dissipation devices, for example, tuned mass dampers. Motivated by these challenges, the current research focuses on developing a hybrid time and time frequency methods to address the aforementioned problems. These methods, requiring the time and frequency diversities of the measured outputs, are referred to as hybrid time and time-frequency source separation methods. With that in mind, this thesis focuses on trying to detect the damage first, and to find an algorithm for identification of the system
- Keywords:
- Signal Processing ; Hilbert Transform ; Damage Detection ; Wavelet Transform ; System Identification ; Independent Component Analysis (ICA) ; Blind Sources Separation (BSS)
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