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October - Library - Central Queensland University

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52<br />

Figure 6: Weibull Curve Generated From Sample Data<br />

The B values shown in Figure 6 represent the times at which 10%, 15%, or 20% of the filters are likely to become blocked. These<br />

a re unreliability values which we can use to decide when we might want to change the filters. At B10 we could expect a 90%<br />

probability that we would not suffer a failure due to blocked filters.<br />

F i g u re 7 shows some various Weibull shapes and the potential maintenance strategy for dealing with them. The maintenance strategy<br />

we use will be very dependent on the business impact of the failures. Weibull only gives us a probability of success. It does not<br />

give us all of the information we need for making the best business decisions.<br />

Curve Description Potential Maintenance Strategy<br />

A: Infant failure followed by a long<br />

period of gradually increasing or<br />

constant failure rate.<br />

B: A long period of gradually increasing<br />

or constant failure rate followed by a<br />

rapid wear out period.<br />

C: Very few initial failures followed by a<br />

short period of rapidly increasing<br />

failures then a long period of gradually<br />

increasing or constant failure rate.<br />

D: Constantly increasing failure rate.<br />

E: Random Failures with constant<br />

failure rate<br />

F: Combination<br />

Figure 7: Weibull Shapes and Potential Maintenance Strategies<br />

Root Cause Failure Analysis to<br />

determine causes of infant failures.<br />

Interim stage parts and personnel if<br />

repairs required. Do not implement<br />

time based maintenance.<br />

Potential for time based replacement<br />

or overhaul at just before the point<br />

where Wearout begins to occur. Root<br />

Cause Failure Analysis if Wearout is<br />

occurring earlier than desired or<br />

required to meet business obectives.<br />

Predictive Maintenance or Constant<br />

Condition Monitoring. Root Cause<br />

Failure Analysis if residual failure rate<br />

is too high.<br />

Time based replacement or overhaul<br />

depending on the level of acceptable<br />

cost or risk.<br />

Run to Failure, Predictive Maintenance,<br />

or Constant Condition Monitoring. Root<br />

Cause Failure Analysis if failure rate is<br />

higher than desired or required to meet<br />

cost and risk needs.<br />

May require different strategies<br />

depending on where in life cycle.

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