Microelectron.Reliab., Vol. 34, No. I, pp. 179-181, 1994. 0026-2714/9456.00 + .00
Printed in Great Britain. © 1993Pergamon Press Ltd
TECHNICAL NOTE
TOLERANCE LIMITS FOR THE RELIABILITY
OF A k-OUT-OF-m SYSTEM
K. K. SHARMAand HAREKRISHNA
Department of Statistics, Meerut University, Meerut, India
(Receivedfor publication 19 June 1992)
Al~traet--The reliability characteristics of various system configurations have been studied in detail, with
assumptions about the lifetime distribution involved. The present study deals with the development of
non-parametric tolerance limits for the reliability of a k-out-of-m system. The limits are useful in
economically optimising the number of redundant components in the system.
1. INTRODUCTION
The reliability level of a ~ystem is determined during
the design process, and subsequent production, as-
sembly and delivery of the system will not improve
upon this inherent reliability level. The design process
also dictates the system configuration; the configur-
ation chosen influences the reliability level as well as
the cost of achieving this level. Thus, a preliminary
reliability analysis as well as many other design factors
should be considered during the design phase when
changes are most easily and economically made.
In the analysis of the reliability characteristics of a
system, one needs an assumption about a parametric
model for the lifetime distribution of the system or of
its components. Many authors [1] have studied this
aspect in detail. However, in many real situations, one
cannot think of an example of a parametric model. In
such cases one can only develop non-parametric tech-
niques to analyse the reliability characteristics in order
to achieve the maximum reliability possible with
reasonable confidence. In a recent study [2] tolerance
limits were developed for system reliability in the cases
of series, parallel, series-parallel and parallel-series
system configurations.
The present study develops non-parametric toler-
ance limits for system reliability in the case of a
k-out-of-m system. With cost constraints in view,
these tolerance limits may be analysed to obtain the
optimum number of redundant components to be
installed in the system so that the pre-assigned re-
liability level is achieved with the desired confidence.
2. k-OUT-OF-m SYSTEM CONFIGURATION
--A DEFINITION
A k-out-of-m system consists of m components
such that the system operates as long as at least k ofits
components operate.
Thus m -k components in such a system are re-
dundant and give longevity to the system, i.e. re-
liability can be increased by introducing a greater
number of redundant components.
The system reliability Rs(t) of a k-out-of-m system
having independent and identical components can be
expressed as a polynomial of the component re-
liability R(t) as follows:
Rs(t)=~(7) (1)
Particular cases
(a) For k = m, a k-out-of-m system reduces to a
series system which fails as soon as any one of its
components fails.
(b) Similarly for k = 1, the system reduces to a
parallel system which functions as long as any
one of its components operates.
3. STATISTICAL BACKGROUND
For the development of the desired tolerance limits
we make use of the following well-known definition
and results.
(i) Uniform distribution U(0, 1): a random variable
U is said to follow a uniform distribution
U(0, 1), written as U ~ U(0, 1), if its probability
density function (p.d.f.) is
1, 0<u<l
f(u) = 0, otherwise.
(ii) If U ~ U(0, 1), then (1 - U)~ U(0, I).
(iii) Probability integral transformation: let X be a
continuous random variable with the cumulative
distribution function F(. ), then U = F(X) is a
uniform variate U(0, 1).
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