This paper provides a new method for the unified statistical treatment of the output probability expressions, when an arbitrarily distributed and correlated random signal is passed through a class of time-variant vibratory system having a non-linear element in the forward path and a linear element o
Output probability of a vibration system with an arbitrary non-linear element and random input
โ Scribed by M. Ohta; S. Hiromitsu; S. Yamaguchi; M. Nishimura
- Publisher
- Elsevier Science
- Year
- 1974
- Tongue
- English
- Weight
- 722 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0022-460X
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โฆ Synopsis
In connection with various types of non-linear vibration systems, a unified theory of the statistical treatment for the output probability distribution is newly introduced in the case when a general random process of arbitrary distribution type is passed through a timevariant system of zero-memory type or finite memory type with a non-linear feedback element, with the aid of a statistical Lagrange series expansion method.
Concretely, for the purpose of finding the effect of an arbitrary non-linear feedback element on the output probability distribution, the explicit expressions of the probability distributions are derived in general forms of non-orthogonal expansion series, reflecting the effect of the forward linear element of the vibration system into the first term.
Further, in view of the arbitrariness of the input characteristics, the possible variety of non-linear elements and fluctuation forms of the system parameters, and the complexity of the statistical treatment involved, the validity of the theoretical expression is experimentally confirmed by the method of digital stimulation.
๐ SIMILAR VOLUMES
It is well-known that full information on the statistical properties of state variables can be derived by finding the multivariate joint probability density function. From this point of view, a new theoretical expression for the multivariate joint probability density function of an output response i