Parameter identification in offshore platform using arma moded and technology of extracting free vibration signal |
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Authors: | Ou Jin-ping He Lin Xiao Yi-qing |
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Affiliation: | (1) School of Civil Engineering, Harbin Institute of Technology, 150090 Harbin, P.R. China |
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Abstract: | A procedure for identifying the dynamic parameter of offshore platform is presented. The present procedure consists of two key features. First uses random decrement (RD) technology to extract free vibration signal in strong noise environment in which it may not white noise. Second technology which called autoregressive moving average (ARMA) was used to model the data treated by the random decrement method. In order to get rid of the color noise in the output signal response from the offshore platform an imaginary system is added in RD system and make the course of extracting performed under the state of color input by choosing the breakover condition and lead time. For eliminating multi-values of parameters identified, an updating moving average method is used. The dynamic parameters of structure under arbitrary input are identified. Example of the method as applied to a scale-model offshore platform was used to evaluate the technology of efficiency and the value of on-line. Foundation items: the National Outstanding Youth Science Foundation of China (59625815); the Applied Development Foundation of National High Technology Biography: OU Jin-ping (1959-), Professor, Vice-President, Doctor |
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Keywords: | offshore platform structure ARMA extracting free vibration signal MA parameter updating parameters identification |
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