DocumentCode :
3860549
Title :
Parametric reliability-prediction based on small samples
Author :
O.I. Tyoskin;T. Sonkina
Author_Institution :
Moscow Tech. Univ., Bauman, Russia
Volume :
46
Issue :
3
fYear :
1997
Firstpage :
394
Lastpage :
399
Abstract :
Reliability prediction is considered for systems that fail due to graceful degradation of operational efficiency to below an acceptable level. The efficiency is represented by a stochastic process, X(t), either scalar or vector. The system reliability with regard to such failures is parametric. It is measured by the probability, R(/spl tau/), that X(t) is within the acceptable limits during the time period, [0,/spl tau/]. To predict parametric reliability, a procedure is proposed to determine the lower confidence bound at confidence-level, q, for R(/spl tau/). Measurement results for small N, e.g., 3-5, of X(t) at times, 0/spl les/t/sub 1//spl les/t/sub 2//spl les/...
Keywords :
"Degradation","Symmetric matrices","Stochastic processes","Time measurement","System testing","Parameter estimation","Least squares approximation","Reliability theory","Materials reliability","Vehicles"
Journal_Title :
IEEE Transactions on Reliability
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/24.664012
Filename :
664012
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