Original title: Asymmetry of the response probability density of a system with parametric random noises
Authors: Náprstek, Jiří ; Fischer, Cyril
Document type: Papers
Conference/Event: DYMAMESI 2018 - Dynamics of Machines and Mechanical Systems with Interactions, Prague (CZ), 20180306
Year: 2018
Language: eng
Abstract: Recording of time variable processes is accompanied by various internal disturbing effects as a rule. They influence parameters of the measuring facility, transducer-device transmission, etc. These parasitic processes are usually of the random character and, consequently, they exercise as parametric noises. Moreover, the input signal mostly consists of a useful signal which can be taken as composed from deterministic and random additive part. Various combinations of these noises are the origin of random and also systematic measuring errors which can have under certain circumstances a cumulative character, deteriorate the output signal quality and can lead finally to the stochastic stability loss. These effects can be theoretically described using differential systems with stochastic coefficients and stochastic right hand side considering all input and output processes to be of the Markov type.
Keywords: parametric noise; random vibration; response asymmetry; signal reconstruction
Project no.: GC17-26353J (CEP)
Funding provider: GA ČR
Host item entry: The international colloquium Dynamics of machines and mechanical systems with interactions. DYMAMESI 2018 Proceedings, ISBN 978-80-87012-66-6

Institution: Institute of Theoretical and Applied Mechanics AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: http://hdl.handle.net/11104/0283134

Permalink: http://www.nusl.cz/ntk/nusl-373871


The record appears in these collections:
Research > Institutes ASCR > Institute of Theoretical and Applied Mechanics
Conference materials > Papers
 Record created 2018-03-26, last modified 2021-11-24


No fulltext
  • Export as DC, NUŠL, RIS
  • Share