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An improved time domain polyreference method for modal identification

✍ Scribed by Lingmi Zhang; Yingxian Yao; Mingfu Lu

Publisher
Elsevier Science
Year
1987
Tongue
English
Weight
772 KB
Volume
1
Category
Article
ISSN
0888-3270

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✦ Synopsis

An improved time domain polyreference method for global model identification is presented in this paper. A time domain preprocessing technique is developed to reduce the effects of random noise contamination on measured data. Compared with the polyreference complex exponential technique, the size of the estimation problem is considerably reduced and the judgement of the required computational order is made easier and more reliable in the low signal-to-noise ratio cases. A total least squares algorithm with singular value decomposition for parameter estimation is adopted to minimise the bias error. An improved procedure for residue calculation is proposed; which takes residual tetms into account in the time domain.

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