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Nonparametric methods for fault diagnosis in dynamic systems
Author(s) -
Zhirabok Alexey,
Shumsky Alexey,
Scherbatyuk Alexander
Publication year - 2018
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.4329
Subject(s) - redundancy (engineering) , nonparametric statistics , nonlinear system , computer science , transformation (genetics) , scope (computer science) , mathematical optimization , control theory (sociology) , algorithm , mathematics , artificial intelligence , econometrics , control (management) , biochemistry , chemistry , physics , quantum mechanics , gene , operating system , programming language
Summary The problem of fault diagnosis in engineering systems with uncertainties described by nonlinear discrete‐time models is studied within the scope of analytical redundancy concept. Solution of the problem assumes the checking redundancy relations existing among system inputs and outputs measured over a finite time window. The nonparametric method is used to construct redundancy relations involving transformation of the initial system model into canonical form with special properties. The obtained results are illustrated by the general electric servoactuator of manipulation robots.