Title :
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
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;
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
DOI :
10.1109/IDAACS.2013.6662665
