DocumentCode :
150180
Title :
Reliability prediction using fuzzy logic
Author :
Mohan, K. K. Navya ; Seetharam, K.
Author_Institution :
Dept. of CS&E, SJB Inst. of Technol., Bangalore, India
fYear :
2014
fDate :
5-7 March 2014
Firstpage :
219
Lastpage :
221
Abstract :
Reliability is an area in which there are many misconceptions due to misunderstanding or misuse of the basic language. It is therefore important to get an understanding of the basic concepts and terminology. Reliability study is considered essential for proper utilization and maintenance of engineering systems and equipment´s. A practical definition of reliability is “the probability that a piece of equipment operating under specified conditions shall perform satisfactorily for a given period of time”. Reliability prediction is a process by which highest reliability can be achieved by using a group of less reliable components with minimum cost instead of only one with highest reliability (and maximum cost). This reliability prediction is applied using fuzzy logic and this would help in a great way in any project procurement process. In this paper three different cases are carried out by means of principal component analysis. One analysis with reliability as predominant factor, second analysis with number of components as predominant factor and in third analysis cost as a predominant factor. The analysis of variables is to identify the dimension that is latent, which can be considered in the phenomena of performance correlation]. This is to study the effects in the developed principal component analysis approach [7[[9].
Keywords :
fuzzy logic; principal component analysis; probability; procurement; reliability theory; engineering system; fuzzy logic; predominant factor; principal component analysis; probability; project procurement process; reliability prediction; reliability study; Analytical models; Biological system modeling; Correlation; Fuzzy logic; Principal component analysis; Reliability; Vectors; Statistical measures; component reliability; cost; fuzzy logic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2014 International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-93-80544-10-6
Type :
conf
DOI :
10.1109/IndiaCom.2014.6828131
Filename :
6828131
Link To Document :
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