Change point detection algorithms for complex physical dynamical systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F12%3A00199587" target="_blank" >RIV/68407700:21340/12:00199587 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Change point detection algorithms for complex physical dynamical systems
Original language description
The target of this contribution is to present an integrated overview of algorithms which could be used for change point detection of any physical dynamical system, e.g. in acoustic system or for the particle detection in accelerated physics. Furthermorewe want to show a possible improvement of the localization of the source of acoustic emission while using these algorithms instead of the well-known threshold level method. Among these algorithms we study the methods based on hypothesis testing by probability ratio, which are described in [1], the algorithm based on the Schwarz Information Criteria (SIC) [2], the method using Singular Spectral Analysis (SSA) [4], and finally the algorithms based on the estimation of autoregressive stochastic processes (time series) and the consecutive chi^2 test [3]. As an example, applying these algorithms, we want to show some possible improvements of numerical iterative localization techniques for detecting the source of the acoustic emission. We con
Czech name
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Czech description
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Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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