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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 />

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