scispace - formally typeset
Journal ArticleDOI

Response of linear vibratory systems to non-stationary stochastic impulses

Reads0
Chats0
TLDR
In this paper, the problem of response of vibratory systems to random excitations is formulated in terms of stochastic point processes and some general methods of point processes which are applicable in a wider context are also studied through certain correlation functions known as product densities.
About
This article is published in Journal of Sound and Vibration.The article was published on 1967-09-01. It has received 24 citations till now. The article focuses on the topics: Product (mathematics) & Context (language use).

read more

Citations
More filters
Journal ArticleDOI

A Stochastic Model for Simulation and Diagnostics of Rolling Element Bearings With Localized Faults

TL;DR: In this paper, a stochastic modeling of the vibration signal produced by localized faults in rolling element bearings and its use for diagnostic purposes is presented. And the analysis finally gives sound justification for squared envelope analysis and the type of spectral indicators that should be used with it.
Journal ArticleDOI

The effects of large vibration amplitudes on the axisymmetric mode shapes and natural frequencies of clamped thin isotropic circular plates. Part II: iterative and explicit analytical solution for non-linear coupled transverse and in-plane vibrations

TL;DR: In this paper, a more realistic and complete study of the geometrically non-linear free vibrations of clamped immovable circular plates by taking into account the in-plane deformation is presented.
Journal ArticleDOI

Response distribution of non-linear systems excited by non-Gaussian impulsive noise

TL;DR: In this paper, a perturbation scheme was devised to obtain an approximate stationary probability density for the response of a non-linear oscillator subjected to an impulsive-noise process which is statistically stationary but non-Gaussian.
Journal ArticleDOI

Dynamic response of non-linear systems to poisson-distributed random impulses

TL;DR: In this article, the authors considered the dynamic response of non-linear systems to external excitations in form of a Poisson-distributed train of random impulses and obtained the equations governing its joint statistical moments by making use of a generalized Ito's differential rule, truncated with the help of a cumulant-neglect closure of different orders.
Journal ArticleDOI

Vibration of a non-linear single degree of freedom system due to poissonian impulse excitation

TL;DR: In this article, the behavior of a non-linear single degree of freedom system, subjected to a random excitation in the form of Poissonian impulse sequence is investigated, and the stochastic linearization technique and the generalized FPK equation are used to obtain a characteristic function and moments of system response probability distribution.
References
More filters
Book

Stochastic processes

J. L. Doob, +1 more
Journal ArticleDOI

Mathematical analysis of random noise

TL;DR: In this paper, the authors used the representations of the noise currents given in Section 2.8 to derive some statistical properties of I(t) and its zeros and maxima.
Book

The Theory of Branching Processes

T. E. Harris
TL;DR: A review of the Galton and Watson mathematical model that applies probability theory to the effects of chance on the development of populations is given in this article, followed by a systematic development of branching processes, and a brief description of some of the important applications.
Journal ArticleDOI

On the theory of brownian motion

TL;DR: In this article, it was shown that the non-Gaussian-Markoff process for Brownian motion derived on a statistical mechanical basis by Prigogine and Balescu, and Prigogueine and Philippot, is related through a transformation of variables to the Gaussian Markoff process of the conventional phenomenological theory of Brownian motions.