International Journal of Scientific & Engineering Research, Volume 4, Issue 12, December-2013 1405
ISSN 2229-5518
AVAILABILITY ANALYSIS OF A TWO-UNIT STANDBY SYSTEM WITH DELAYED REPLACEMENT UNDER PERFECT SWITCHING
By
VIRESH SHARMA DIGVIJAY SINGH Department of Mathematics Department of Mathematics
J.P.Institute of engineering & tech.,Meerut N.A.S.(P.G.) College, Meerut drdigvijay2008@rediffmail.com vireshsharma1@yahoo.com
ABSTRACT: In this paper, the author has initiated the study of availability of the system which consists of two identical cold standby units with constant failure rates. Initially, one unit is operative while other remains as standby. Each of the units of the system has three modes, i.e., normal, degraded and total failure. The system fails when both the units fail totally and may also fail due to common cause failure. The time taken in replacement of a failed unit by a standby unit is not negligible but is a random variable.
KEYWORDS: Standby system, Repairable system,
(v) Failure time distributions are negative exponential, while the repair and delay time distributions are arbitrary.
(vi) A single service facility is available to repair a D-unit, a F-unit and to activate the cold standby unit. The repair facility is not always with the system but can be made available instantaneously whenever needed.
(vii) Initially system works with normal efficiency
Supplimentry variable.
IJSEaRfter inspection.
INTRODUCTION : The author has considered here, a
complex system having two identical cold standby units with constant failure rates. Initially, one unit is operative while other remains as standby. Each of the units of the system has three modes. i.e., normal, degraded and total failure. The
system fails when both the units fail totally and may also fail
(viii) A repaired unit works as good as new.
due to common cause failure. The time taken in replacement of a failed unit by a standby unit is not negligible but is a random variable. Failure time distribution of the units are exponential while inspection rates, replacement rate and repair rate time distributions are quite general. Reliability parameters, generally mean time to systems failure (MTSF) and availability in such systems have also been obtained using the theory of Semi-Markov process and supplementary variable process. The purpose of the present chapter is to discuss a two-unit cold standby with three modes dissolving the above two very stringent assumptions.
(i) A cold standby system comprises two similar units. Each unit has three modes: normal (N), Degraded (D) and total failure (F). The units are said to be N,D and F units if they are in their respective modes.
(ii) The replacement time of a failed unit is not negligible but is a random variable called delay time.
(iii) The system fails on the total failure of its both units and also breaks down completely due to
D / Dt / Dx
λ / λ '
λc
α ( x ) / µ ( x )
r ( x ) / φ ( x )
β ( x ) ( )
d / ∂ / ∂
: dt ∂t ∂x
: Constant failure rates from N
to D/D to F
:Constant common cause failure rate
S
: Inspection rate from 0 to
S6 / S6 to S0
S
: General repair rate from 5
S / S S
to 0 7 to 0
S
: Switching rate from 2 to
S1
S
common cause failure.
(iv) In the normal state, the system is inspected with the general inspection rate distribution.
P t
i : Probabilities in the i
where i= 1, 3, 4
state
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International Journal of Scientific & Engineering Research, Volume 4, Issue 12, December-2013 1406
ISSN 2229-5518
P2 ( x, t )
S
: Probabilities at the i
where i = 0, 2, 5, 6, 7.
state
Dx + Dt + µ ( r ) P6 ( x, t ) = 0
(7)
Dx + Dt + φ ( x ) P7 ( x, t ) = 0
(8)
These equations are to be solved under following boundary and initial conditions:
∞ ∞ ∞
P0 (0, t ) = ∫
P5 ( x, t ) r (t ) dx + ∫
P7 ( x, t )φ ( x) dx + ∫
P6 ( x, t ) µ ( x) dx
0 0 0
(9)
P2 (0, t ) = λ ' P1 (t )
(10)
P5 (0, t ) = λ ' P4 (t )
(11)
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nature of this system, we obtain the following set of
difference differential equations by connecting the state
P6 (0, t ) = ∫
P0 ( x, t )α ( x ) dx
probabilities at time t + ∆ with those at time t and taking limits as ∆t → 0 .
Dx + Dt + λ + λc + α ( x ) P0 ( x, t ) = 0
7 ( )
0
c 0 ( )
(12)
P 0, t
= λ P t
(13)
(1)
[ D + λ '] P1 (t ) = λ P0 (t )
(2)
P0 (0) = 1
Pk ( 0 ) = 0
∀ ( k ≠ 0)
Dx + Dt + β ( x ) P2 ( x, t ) = 0
(3)
[D + λ ] P3 (t ) = ∫
β P2 ( x, t ) dx
0
[D + λ ] P4 ( s ) = λ P3 (t )
(4)
(5)
P0 ( s ) =
B ( s )
A ( s )
(14)
Dx + Dt + r ( x ) P5 ( x, t ) = 0
(6)
P1 ( s ) =
λ
s + λ '
B ( s )
.
A ( s )
(15)
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International Journal of Scientific & Engineering Research, Volume 4, Issue 12, December-2013 1407
ISSN 2229-5518
P ( s ) =
λλ ' . B ( s ) .D
( s )
P ( s ) = P ( s ) + P ( s ) + P ( s ) + P ( s ) = 1 − P
( s )
2 s + λ '
A ( s ) β
(16)
down
2 5 6 7
s up
(23)
λλ '
B ( s ) β
It is worth noticing that
P3 ( s ) = ( s + λ ) ( s + λ ') . A ( s ) .S
( s )
P ( s ) + P
( s ) = 1
(17)
up down
s
(24)
P ( s ) =
λ 2λ '
B ( s ) β
. .S
( s )
viz., lim SF ( S ) = lim F (t ) = F ( say )
4 ( s + λ ) ( s + λ )2
A ( s )
s →0
t →∞
; provided
( ) 2 '2
B ( s )
(18)
( ) ( )
limit on R.H.S. exists, the following time independent
probabilities have been obtained from equations (14)
through (22).
B ( 0 )
P5 s
= λ λ
( s + λ ')2 ( s + λ )
. .S β
A ( s )
s .Dr s
(19)
P0 =
A ' ( 0 )
(25)
S (s + λ + λc )
λ B ( 0 )
P6 ( s ) =
A ( s )
.Dµ ( s )
P1 = λ ' . A ' ( 0 )
7 λ IA ( s ) Jφ
(20)
2
Rλ ' (0)
(26)
P ( s ) = λc . B ( s ) .D
( s )
B (0)
P = λ. M β
Where
A(s) = 1
λ2λ '2
(s + λ )(s + λ ')2
(21)
.S β (s) − S r (s) − S α (s + λ + λ ).S µ (s) − λ B (s)S φ (s)
P3 =
B ( 0 )
A ' ( 0 )
(27)
(28)
B ( s ) = Dα ( s + λ + λc )
θ
P4 =
λ B ( 0 )
.
λ ' A ' ( 0 )
(29)
Dθ ( s )
1 − S
=
s
( s )
P = λ.
B (0) r
M
PUP ( s ) = P0 ( s ) + P1 ( s ) + P3 ( s ) + P4 ( s )
5 A ' (0)
P = S (λ + λc ) M µ
(30)
B (s )
λ λλ ' ( )
λ 2λ ' ( )
6 A ' (0)
(31)
= 1− + S β
s + .S β s
A(s )
s + λ '
(s + λ )(s + λ ')
(s + λ )(s + λ ')
(22)
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International Journal of Scientific & Engineering Research, Volume 4, Issue 12, December-2013 1408
ISSN 2229-5518
P = =λc .
B (0) φ
M
λ 2λ '2
D ( s ) β 2
7 λ A ' (0)
(32)
P ( s ) =
( s + λ ) ( s + λ ')
. . .
C ( s ) ( s + β )
s + r
5 2
P = A
2B (0)
= 1 +
λt
(39)
up vss
A ' (0) λ
(33)
P6 ( s ) =
α
( s + α + λ + λc )
. 1
C ( s )
. 1
s + µ
Where
B (0) = β ( s )
s =0
P7 ( s ) =
λ D ( s )
c . .
(40)
1
A ' (0) = d
ds
A ( s )
s =0
λ C ( s )
s + φ
(41)
And
Avss = Availability at t = ∞
M ' (i = β , r, µ,φ ) = S α (0)
Where
C (s) = 1−
λ2λ '2 D (s) β
.
. r − αµ
− λ D (s) φ
(s + λ )(s + λ ')2 (s + β ) (s + r)
(s + α + λ + λc )(s + µ )
(s + φ )
setting
S x ( s ) =
x
s + x
D ( s ) = 1
s + α + λ + λ
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Where we get
x = β , r,φ ,α , µ
in equations (14) through (21),
P ( s ) = D ( s )
R ( s ) =
1 1 + λ
0 C ( s )
λ
D ( s )
(34)
(s + α + λ + λc )
s + λ '
(42)
P1 ( s ) = ( s + λ ) . C ( s )
MTTF = lim R ( s ) =
1
1 +
(35)
s →0
(α + λ + λc )
λ '
(43)
λλ '
D ( s )
For a complex configuration having parametric values
P2 ( s ) = ( s + λ ) ( s + β ) . C ( s )
(36)
λ = 0.01 ,
λ ' = 0.02 ,
α = 0.8
λλ '
D ( s ) β
P3 ( s ) = ( s + λ ) ( s + λ ') . C ( s ) . ( s + β )
(37)
P ( s ) =
λ 2λ '
D ( s ) β
. .
4 ( s + λ ) ( s + λ ')2
C ( s ) ( s + β )
(38)
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International Journal of Scientific & Engineering Research, Volume 4, Issue 12, December-2013 1409
ISSN 2229-5518
Fig.1. MTTF vs Failure Fig. 2. Avss vs Failure
1. Dummer, G. and N. Griffin, Electronic Equipment
Reliability, John Wiley and Sons, N.Y. (1960)
2. Fukula, I. And M. Kodama, Mission reliability for a redundant repairable system with two dissimilar units. IIE Trans on Reliability. R-23(1974).
3. Bazoksky, I., Reliability Theory of Prentice Hall Inc., Englewood eliffs, New Nersey (1961)
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