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CDOIF

Chemical and Downstream Oil

Industries Forum

CDOIF is a collaborative venture formed to agree strategic areas for

joint industry / trade union / regulator action aimed at delivering

health, safety and environmental improvements with cross-sector

benefits.

Guideline – Demonstrating Prior Use v4

Page 17 of 30

A.2.1 Calculation based on Mean Time Between Failures

The example provided below may produce distorted results if the sample size is small, or

detection of failures that have occurred are not identified and recorded in a timely

manner. Further, the accuracy of any failure rate calculation is dependent on failures

being revealed, and replaced immediately (failures revealed only after a proof test may

also distort the calculated results).

Using the data provided by the maintenance management system

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, or derived from other

sources, the Mean Time Between Failures (MTBF) of the component can be derived as

follows:

MTBF = (number of hours of operation) ÷ (number of failures)

The failure rate can be calculated as follows:

λ

= 1/MTBF

For example, a barrier has been in operation for 10 years (87,600 hours). During that

period, 5 failures have been recorded, therefore:

MTBF = (87,600) ÷ (5) = 17,520 hours

This calculation may also be applied where the number of samples is increased (i.e. the

number of the same component in the same application and environment) but the

sample period is over a shortened period of time. For example, there are 10 barriers that

have been in operation for 1 year (8,760 hours), during that period, 5 failures have been

recorded, in this instance:

MTBF = (10 x 8,760) ÷ (5) = 17,520 hours

The failure rate (

λ

) would be:

λ

= 1/17,520 = 0.000057, or 5.7x10

-5

failures per hour

Note: this calculation will not work where the number of failures is zero. In this instance,

consideration should be given to an approximation to the Poisson distribution curve.

A.2.2 Calculation based on failure data analysis

Where failure rates are available for the component, a more rigorous calculation can be

performed to determine the components PFD and Safe Failure Fraction (SFF).

The types of failure that can be attributed to a component can be described as follows:

Safe Failure – a failure that when it occurs causes the system to perform the

function which puts the system into the safe state, this is performed without a

demand from the process and is often referred to a nuisance or spurious trip.

Safe failures can further be categorised as either:

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When using maintenance records for prior use evidence, the end user should be able to demonstrate that

the records are sufficiently robust and statistically significant