ISSN:
0894-9166
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
,
Physics
Notes:
Abstract An improved time domain polyreference method for global modal 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 judgment on 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 minimize the bias error. A better procedure for residue calculation is proposed, which takes residual terms into account in time domain.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF02208142
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