DocumentCode
2703454
Title
Multi-state system importance analysis based on direct partial logic derivative
Author
Zaitseva, Elena ; Levashenko, Vitaly ; Kostolny, Jozef
Author_Institution
Dept. of Inf., Univ. of Zilina, Zilina, Slovakia
fYear
2012
fDate
15-18 June 2012
Firstpage
1514
Lastpage
1519
Abstract
Multi-State System (MSS) is mathematical model of investigated object in reliability analysis. MSS allows present the investigated object in more detail than traditional Binary-State System. The importance analysis allows MSS reliability estimation depending on the system structure and its components states. Importance measures quantify the criticality of a particular component. They have been widely used as tools for identifying system weaknesses, and to priorities reliability improvement activities. New algorithms for calculation of the importance measures based on the methods of Multiple-Valued Logic are proposed. Direct Partial Logic Derivative and Multi-Valued Decision Diagram are used for these algorithms.
Keywords
decision diagrams; estimation theory; importance sampling; multivalued logic; reliability theory; MSS reliability estimation; binary-state system; components states; direct partial logic derivative; importance measures; investigated object; mathematical model; multiple-valued logic; multistate system importance analysis; multivalued decision diagram; reliability analysis; reliability improvement activity; system structure; system weaknesses; Algorithm design and analysis; Benchmark testing; Bismuth; Calculus; Reliability; Silicon; Vectors; direct partial logic derivative; importance measures; multi-state system; multivalued decision diagram;
fLanguage
English
Publisher
ieee
Conference_Titel
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4673-0786-4
Type
conf
DOI
10.1109/ICQR2MSE.2012.6246513
Filename
6246513
Link To Document