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Field Trial of Optical Fibre Cable-TV System Optical Fibre System for ...

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204<br />

Fig. 2<br />

Automatic testing <strong>of</strong> multiplexing equipment after<br />

manufacture<br />

Reliability predictions <strong>of</strong> failure occurrence<br />

as a function <strong>of</strong> time provide in<strong>for</strong>mation<br />

regarding the future behaviour<br />

<strong>of</strong> the equipment and the system. The<br />

result is also used as a basis <strong>for</strong> the planning<br />

<strong>of</strong> maintenance and <strong>for</strong> calculating<br />

the operating costs during the life <strong>of</strong> the<br />

equipment, life cycle costs (LCC).<br />

The reliability <strong>of</strong> complex systems and<br />

networks depends on their design and<br />

construction. The calculations are<br />

based on the predicted reliability <strong>of</strong> the<br />

equipment used.<br />

The purpose <strong>of</strong> the telecommunication<br />

network is to <strong>of</strong>fer the customer good<br />

services. The service quality in the network<br />

is a function <strong>of</strong> such factors as the<br />

availability <strong>of</strong> the network.<br />

In order to meet technically and economically<br />

feasible availability requirements<br />

and to increase the probability <strong>of</strong><br />

transmission paths surviving catastrophes<br />

it is sometimes necessary to introduce<br />

redundancy at relevant points in<br />

the network. The views on the use <strong>of</strong><br />

redundancy expressed here are based<br />

on Ericsson's experience <strong>of</strong> the operation<br />

<strong>of</strong> equipment with high built-in reliability.<br />

They may be <strong>of</strong> assistance when<br />

deciding on the requirements and design<br />

<strong>of</strong> redundancy in systems, links or<br />

networks.<br />

Reliability is one <strong>of</strong> the basic design parameters<br />

in Ericsson's transmission<br />

equipments. High built-in reliability has<br />

been achieved by<br />

- using selected components <strong>of</strong> high<br />

quality 1<br />

- limiting the stress by reducing the<br />

power (derating)<br />

- reducing the power consumption in<br />

order to keep the temperature low<br />

- careful checking <strong>of</strong> components and<br />

manufacture<br />

- improving the design on the basis <strong>of</strong><br />

operational experience (follow-up).<br />

It is certainly economically justifiable to<br />

have high reliability built into the equipment<br />

right from the start. Loss <strong>of</strong> income<br />

and the cost <strong>of</strong> maintenance work and<br />

spares in connection with failures can<br />

warrant the expenditure <strong>of</strong> up to 40%<br />

more <strong>for</strong> equipment with higher built-in<br />

reliability 6 .<br />

If a decision-maker is to be able to assess<br />

and trust the data supplied by the<br />

manufacturer the prediction method<br />

must be known and its trustworthiness<br />

verified. Prediction results must be presented<br />

in a suitable <strong>for</strong>m and a clear<br />

manner and should be easily understandable<br />

even by non-specialists, i.e.<br />

anybody with a normal technical training.<br />

The panel "Terminology and Definitions"<br />

explains concepts and termsina<br />

somewhat simplified <strong>for</strong>m.<br />

It is a difficult task, and one <strong>of</strong> considerable<br />

responsibility, to express oneself<br />

in a simple and easily understandable<br />

way in a discipline that uses such complicated<br />

mathematical tools as those<br />

used <strong>for</strong> reliability calculations. The<br />

price that has to be paid <strong>for</strong> simplicity is<br />

reduced mathematical accuracy, limited<br />

terminology, simplified models and<br />

last but not least, some loss <strong>of</strong> the author's<br />

technical prestige.<br />

Reliability prediction and its<br />

trustworthiness<br />

Prediction method<br />

The prediction is carried out by mean<br />

<strong>of</strong> special computer programs, using<br />

the parts count method, i.e. the fa""

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