Title :
Optimal Structure of Multi-State Systems With Uncovered Failures
Author :
Levitin, Gregory
fDate :
3/1/2008 12:00:00 AM
Abstract :
The paper presents a model of multi-state systems in which some groups of elements can be affected by uncovered failures that cause outages of the entire group. It shows that the maximal reliability of such systems can be achieved through a proper balance between two types of task parallelization: parallel task execution with work sharing, and redundant task execution. The paper also suggests a procedure for finding the optimal balance for series-parallel multi-state systems. This procedure is based on a universal generating function technique, and a genetic algorithm. Illustrative examples are presented.
Keywords :
genetic algorithms; parallel processing; redundancy; reliability theory; genetic algorithm; maximal system reliability; optimal balance; optimal structure; parallel task execution with work sharing; redundant task execution; series-parallel multi-state systems; task parallelization; uncovered failures; universal generating function technique; Genetic algorithm; multi-state system; uncovered failures; universal generating function;
Journal_Title :
Reliability, IEEE Transactions on
DOI :
10.1109/TR.2007.909767