Classification of Random Processes in Industrial Control Systems

Author

Prokhorenkov, A.M. ; Kachala, N.M. ; Sovlukov, A.S.

Author_Institution

Murmansk State Tech. Univ., Murmansk

fYear

2007

fDate

6-8 Sept. 2007

Firstpage

383

Lastpage

387

Abstract

Need of random processes´ classification in industrial control systems is considered. Informative signs and existent methods for the classification are analyzed. The new approach suggested. According to a process type (stationary or non-stationary), process kind (additive, multiplicative or additive-multiplicative) and a deterministic constituent´s kind are classification signs. A single realization-based algorithm for classification of random processes is proposed. It implies application of non-parametric criteria, Hurst item, and fuzzy logic.

Keywords

industrial control; random processes; Hurst item; deterministic constituent kind; fuzzy logic; industrial control systems; nonparametric criteria; process kind; process type; random processes; realization-based algorithm; Algorithm design and analysis; Automatic control; Classification algorithms; Conferences; Control systems; Data acquisition; Electronic mail; Fuzzy logic; Industrial control; Random processes; Classification; Fuzzy Logic; Industrial Control System; Random Process;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2007. IDAACS 2007. 4th IEEE Workshop on

Conference_Location

Dortmund

Print_ISBN

978-1-4244-1347-8

Electronic_ISBN

978-1-4244-1348-5

Type

conf

DOI

10.1109/IDAACS.2007.4488444

Filename

4488444