OU Jin-ping, HE Lin, XIAO Yi-qing. Parameters Identification in Offshore Platform Using ARMA Model and Technology of Extracting Free Vibration Signal[J]. Applied Mathematics and Mechanics, 2003, 24(4): 398-404.
Citation:
OU Jin-ping, HE Lin, XIAO Yi-qing. Parameters Identification in Offshore Platform Using ARMA Model and Technology of Extracting Free Vibration Signal[J]. Applied Mathematics and Mechanics, 2003, 24(4): 398-404.
OU Jin-ping, HE Lin, XIAO Yi-qing. Parameters Identification in Offshore Platform Using ARMA Model and Technology of Extracting Free Vibration Signal[J]. Applied Mathematics and Mechanics, 2003, 24(4): 398-404.
Citation:
OU Jin-ping, HE Lin, XIAO Yi-qing. Parameters Identification in Offshore Platform Using ARMA Model and Technology of Extracting Free Vibration Signal[J]. Applied Mathematics and Mechanics, 2003, 24(4): 398-404.
A procedure for identifying the dynamic parameter of offshore platform is presented. The present procedure consists of two key features.Fist uses random decrement (RD) technology to extract free vlbration signal in strong noise environment in which it may not white noise. Second technology which called autoregressive moving average (ARMA) is 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 elintinating multi-values of parameters identified, an updating moving average method is used. The dynamic parameters of structure under arbitrary input are identigied.Example of the method as applied to a scale-model offshore platform is used to evaluate the technology of efffciency and the value of on-line.
Doebling S W,Farrar C R, Prime M B, et al.A review of damage identification methods that examine changes in dynamic properties[J].J Shock Vibration Dig,1998,30(20):91-105.
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