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Physics-Informed Radial Basis Function Networks: Solving Inverse Problems for Partial Differential Equations Read chapter Read first chapter

2023 | OriginalPaper | Chapter

On a Method for Identifying Failure Models of Complex Systems

Authors : Anatolii Smetankin, Sergei Efimenko, Eduard Zheleznov, Yliia Cimai, Igor Chernorutsky, Sergei Kolesnichenko

Published in: Cyber-Physical Systems and Control II

Publisher: Springer International Publishing

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Abstract

One of the methods of effective diagnosis of complex systems is considered in the article. The key feature of the suggested method is that the identification of the failure model is conducted in conditions of insufficient information using small ordered samples. When applying the methods of the theory of stochastic indication, the features of a limited volume and rapid aging of information are taken into account. Expansion of the range of possibilities of such a method is achieved by an operator algebraic or integro-differential transformation of the initial information, and the research is carried out on small samples presented in the form of a variational series. As a result, it is guaranteed to find a way to convert data to obtain statistics independent on the parameters of the parent distribution. If analytical construction is not possible, the distribution function of such statistics can be determined as a result of statistical modeling.

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Metadata
Title
On a Method for Identifying Failure Models of Complex Systems
Authors
Anatolii Smetankin
Sergei Efimenko
Eduard Zheleznov
Yliia Cimai
Igor Chernorutsky
Sergei Kolesnichenko
Copyright Year
2023
Book
Cyber-Physical Systems and Control II

Print ISBN: 978-3-031-20874-4

Electronic ISBN: 978-3-031-20875-1

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-20875-1_2

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