Methods for using fourth order spectral quantities to estimate the unknown parameters in non-linear, randomly excited dynamic systems are developed. Attention is focused on the case where only the response is measurable and the excitation is unmeasurable and known only in terms of a stochastic proce
ESTIMATION OF NON-LINEAR SYSTEM PARAMETERS USING HIGHER-ORDER FREQUENCY RESPONSE FUNCTIONS
โ Scribed by G.-M. Lee
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 305 KB
- Volume
- 11
- Category
- Article
- ISSN
- 0888-3270
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Given that a non-linear system consists of a series of point masses connected by springs and dampers which have polynomial force characteristics, the Fourier transform of the first order Volterra kernel between input force and the resulting motion is determined from the mass matrix and the stiffness
We have attempted to express the frequency response functions of a linear and a quadratic non-linear system in terms of spectral vectors. These vector notations convey the system characteristics in physically realisable measures. One of the valuable tools to verify the non-linear system features is
Frequency response function matrices relate the inputs and the outputs of structural dynamic systems. If a system is linear the frequency response function matrix is the same for any combination or types of inputs over the entire operating range. Furthermore, the frequency response matrix of a linea
A technique for estimation of non-linear stiffness parameters of rolling element bearings in rotor systems, based on the analysis of the random response signals picked up from the bearing caps, is developed. The rotor-bearing system is modelled through the Fokker-Planck equation and the vibrations,