The paper deals with problems in the indirect input identification when the number of simultaneously usable measurement and processing channels is smaller than the total number of response points. In such a case, the output spectral matrix essential to the indirect input identification can be obtain
INDIRECT INPUT IDENTIFICATION BY MODAL FILTER TECHNIQUE
โ Scribed by YEONG-RYEOL KIM; KWANG-JOON KIM
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 236 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0888-3270
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โฆ Synopsis
This paper is a study on modal model method in estimating system inputs from vibration responses, which is one of the indirect input identi"cation methods in frequency domain. The method has advantages over the direct inverse method especially when points of operational inputs are inaccessible for arti"cial excitation but accessible for response measurement. Systematic procedures of an extended modal model method are proposed and checked by numerical experiments. Mechanisms of error propagation, i.e. how errors in modal parameters such as poles and mode shape vectors a!ect estimation of the input forces, are illustrated. Then, in order to counteract the error propagation, discrete modal "lter approach is used in this paper to compute the inversion of modal matrix in which most serious errors seem to be generated. Further, a reduced form of modi"ed reciprocal modal vector (MRMV) is proposed to estimate multiple inputs, which is shown to have orthogonality errors smaller than by the MRMV "lter.
๐ SIMILAR VOLUMES
A modal parameter identi"cation method applied to mechanical structures excited by correlated sinusoidal multiple inputs was developed. The algorithm is based on the same formulation of the extended Kalman "lter, applied as a system parameter identi"er in the frequency domain to mechanical structure
In this paper biological compartmental models are considered which take into account the intrinsic randomness of the transport rate parameters and their possible variability in time. An identification procedure is presented for the estimation of the stochastic processes representing the transport ra