4 Engineering Example 1

4.1 Reliability in a communication network

Introduction

The reliability of a communication network depends on the reliability of its component parts. The reliability of a component can be represented by a number between 0 and 1 which represents the probability that it will function over a given period of time.

A very simple system with only two components C 1 and C 2 can be configured in series or in parallel. If the components are in series then the system will fail if one component fails (see Figure 4)

Figure 4 :

{Both components 1 and 2 must function for the system to function}

If the components are in parallel then only one component need function properly (see Figure 5) and we have built-in redundancy.

Figure 5 :

{Either component 1 or 2 must function for the system to function}

The reliability of a system with two units in parallel is given by 1 ( 1 R 1 ) ( 1 R 2 ) which is the same as R 1 + R 2 R 1 R 2 , where R i is the reliability of component C i . The reliability of a system with 3 units in parallel, as in Figure 6, is given by

1 ( 1 R 1 ) ( 1 R 2 ) ( 1 R 3 )

Figure 6 :

{At least one of the three components must function for the system to function}

Problem in words

  1. Show that the expression for the system reliability for three components in parallel is equal to    R 1 + R 2 + R 3 R 1 R 2 R 1 R 3 R 2 R 3 + R 1 R 2 R 3
  2. Find an expression for the reliability of the system when the reliability of each of the components is the same i.e. R 1 = R 2 = R 3 = R
  3. Find the system reliability when R = 0.75
  4. Find the system reliability when there are two parallel components each with reliability R = 0.75 .

Mathematical statement of the problem

  1. Show that 1 ( 1 R 1 ) ( 1 R 2 ) ( 1 R 3 ) R 1 + R 2 + R 3 R 1 R 2 R 1 R 3 R 2 R 3 + R 1 R 2 R 3
  2. Find 1 ( 1 R 1 ) ( 1 R 2 ) ( 1 R 3 ) in terms of R when R 1 = R 2 = R 3 = R
  3. Find the value of (b) when R = 0.75
  4. Find 1 ( 1 R 1 ) ( 1 R 2 ) when R 1 = R 2 = 0.75 .

Mathematical analysis

  1. 1 ( 1 R 1 ) ( 1 R 2 ) ( 1 R 3 ) 1 ( 1 R 1 R 2 + R 1 R 2 ) ( 1 R 3 )

    = 1 ( ( 1 R 1 R 2 + R 1 R 2 ) × 1 ( 1 R 1 R 2 + R 1 R 2 ) × R 3 )

    = 1 ( 1 R 1 R 2 + R 1 R 2 ( R 3 R 1 R 3 R 2 R 3 + R 1 R 2 R 3 ) )

    = 1 ( 1 R 1 R 2 + R 1 R 2 R 3 + R 1 R 3 + R 2 R 3 R 1 R 2 R 3 )

    = 1 1 + R 1 + R 2 R 1 R 2 + R 3 R 1 R 3 R 2 R 3 + R 1 R 2 R 3

    = R 1 + R 2 + R 3 R 1 R 2 R 1 R 3 R 2 R 3 + R 1 R 2 R 3

  2. When R 1 = R 2 = R 3 = R the reliability is

    1 ( 1 R ) 3 which is equivalent to 3 R 3 R 2 + R 3

  3. When R 1 = R 2 = R 3 = 0.75 we get

    1 ( 1 0.75 ) 3 = 1 0.2 5 3 = 1 0.015625 = 0.984375

  4. 1 ( 0.25 ) 2 = 0.9375

Interpretation

The mathematical analysis confirms the expectation that the more components there are in parallel then the more reliable the system becomes (1 component: 0.75;  2 components: 0.9375;  3 components: 0.984375). With three components in parallel, as in part (c), although each individual component is relatively unreliable ( R = 0.75 implies a one in four chance of failure of an individual component) the system as a whole has an over 98 % probability of functioning (under 1 in 50 chance of failure).