Field Trial of Optical Fibre Cable-TV System Optical Fibre System for ...
Field Trial of Optical Fibre Cable-TV System Optical Fibre System for ...
Field Trial of Optical Fibre Cable-TV System Optical Fibre System for ...
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Table 1<br />
Comparison <strong>of</strong> predicted and observed MTBF <strong>for</strong><br />
some function blocks<br />
Equipment<br />
Channel/SG<br />
SG/MG<br />
MG/SMG<br />
SMG/LG (2700)<br />
30-channel PCM<br />
2 Mbit/s line system<br />
(2 terminals + 2 rep.)<br />
8 Mbit/s line system<br />
(2 terminals + 4 rep.)<br />
Older<br />
Predicted<br />
5.2<br />
27<br />
30<br />
36<br />
10<br />
-<br />
-<br />
Mean time between f; tilures, IV TBI- (years<br />
des gn (M4)<br />
New desig<br />
Observed Predicted<br />
11<br />
7.1<br />
27<br />
33<br />
31<br />
31<br />
27<br />
36<br />
11<br />
18<br />
-<br />
-<br />
26<br />
19<br />
i (MS)<br />
Observed<br />
10<br />
71<br />
28<br />
31<br />
18<br />
39<br />
29<br />
Fig. 4<br />
The correlation between predicted and observed<br />
failure rate <strong>for</strong> function blocks (magazine = shelf)<br />
x<br />
Different function blocks<br />
Observed value = Predicted value<br />
prediction and the use <strong>of</strong> the data in<br />
future calculations. Telecommunications<br />
administrations and manufacturers<br />
represent different viewpoints in<br />
practical applications.<br />
Telecommunications administrations<br />
and users <strong>of</strong> telecommunication services<br />
are mainly interested in the availability<br />
<strong>of</strong> the service and equipment.<br />
However, the availability is dependent<br />
on external application and maintenance<br />
factors as well as the built-in reliability<br />
<strong>of</strong> the equipment. The calculation<br />
model becomes complex because<br />
<strong>of</strong> factors that vary with time and space<br />
and also from one case to another.<br />
The manufacturer <strong>of</strong> transmission<br />
equipment, on the other hand, is only<br />
responsible <strong>for</strong> the built-in reliability.<br />
Application factors are beyond his control.<br />
Under given operating conditions<br />
the built-in reliability is only dependent<br />
on components and design parameters,<br />
and the calculation model is there<strong>for</strong>e<br />
relatively simple. It is also easy to compare<br />
equipment from different manufacturers.<br />
The reliability parameters <strong>of</strong> the<br />
equipment, i.e. the failure rate or mean<br />
time between failures, constitute the<br />
basic data <strong>for</strong> calculations concerning<br />
systems, links and networks.<br />
The following parameters have proved<br />
suitable <strong>for</strong> use in most practical cases:<br />
the failure rate z, the mean time between<br />
failures MTBF, reliability R, availability<br />
A, and down time DT. See the panel<br />
"Terminology and Definitions".<br />
Of the many possible ways <strong>of</strong> presenting<br />
reliability data two extreme cases may<br />
be mentioned. In the first case the whole<br />
equipment is regarded as a single item<br />
and all failures are counted without their<br />
effects being considered. In the other<br />
case a failure effect analysis is made, i.e.<br />
the effect the failure has on the transmission<br />
capacity <strong>of</strong> the equipment is<br />
considered and the failures are structured.<br />
The presentation method using structured<br />
failures is considered most suitable<br />
<strong>for</strong> transmission equipment 4 . A brief<br />
description is given below.<br />
Observed<br />
failure rate<br />
(failures/10 9 h)<br />
10 5<br />
Structured presentation<br />
Different types <strong>of</strong> failures in equipment<br />
can affect the transmission capacity in<br />
different ways. With respect to its transmission<br />
capacity the equipment can be<br />
in different (but well defined) states depending<br />
on which and how many functions<br />
are being affected by the failure.<br />
10 4<br />
10 3 -<br />
102<br />
102<br />
Worse than<br />
predicted: 38%<br />
x<br />
X<br />
X * /<br />
/<br />
X X X<br />
X/<br />
/<br />
/<br />
TT1—<br />
103<br />
w /<br />
*<br />
/<br />
/<br />
X<br />
X<br />
X<br />