Computer diagnosing the control object emergency conditions using cluster analysis

Author

Shyrmovska, Nadia ; Nykolaychuk, Yaroslav ; Voronych, Artur ; Zavedyuk, Tetyana

Author_Institution

Ivano-Frankivsk Nat. Tech. Univ. of Oil & Gas, Ivano-Frankivsk, Ukraine

fYear

2013

fDate

12-14 Sept. 2013

Firstpage

179

Lastpage

182

Abstract

Method of computer diagnosing is proposed by using the cluster analysis that allowed formalizing the complex processes of the identification and preventing the emergency conditions of quasi-stationary control objects. The method creates a possibility of the real time diagnosis and differentiation of diagnosed conditions as well as accounting the sliding correlation characteristics.

Keywords

computer aided analysis; emergency management; statistical analysis; cluster analysis; complex processes; computer diagnosing method; diagnosed condition differentiation; emergency condition identification; emergency condition prevention; quasistationary control object; real time diagnosis; sliding correlation characteristics; Analytical models; Computers; Correlation; Educational institutions; Object recognition; Process control; Silicon; cluster analysis; control object; correlation characteristics; diagnosing conditions;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on

Conference_Location

Berlin

Print_ISBN

978-1-4799-1426-5

Type

conf

DOI

10.1109/IDAACS.2013.6662665

Filename

6662665