Utilization of Blind Source Separation Techniques for Modal Analysis
In past few years, there have been attempts at utilizing Blind Source Separation (BSS) and Independent Component Analysis (ICA) techniques for modal analysis purposes. Most of the early work in this regard has been promising, though restricted to application of these techniques to analytical and laboratory based experimental structures. It is felt that in order to make these techniques applicable to more challenging scenarios, they need to be modified keeping in view the demands of modal parameter estimation procedure. This includes making them more robust and applicable to handle complex scenarios (for e.g. closely coupled modes, heavily damped modes, low signal-to-noise ratio, etc.). This forms the motivation for this paper which aims at tuning BSS / ICA methods for modal analysis purposes in an effective and efficient manner. Amongst other methods, it is shown how to incorporate signal processing techniques, modify BSS techniques to handle data in specified frequency ranges, extract modal parameters from limited output channels, etc. to derive most benefits out of these algorithms.
KeywordsMode Shape Independent Component Analysis Independent Component Analysis Blind Source Separation Modal Filter
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