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However, the difference between the failed state probabilities has increased due to the higher probability of degradation detection through tests, thereby decreasing the probability of the transiting from a degraded state to the failed state. Failed State Probability 0,30 0,25 0,20 0,15 0,10 0,05 0,00 — 4 (a) 50% degradation detection probability {b) no degradation detection probability 8 12 16 20 maintenance interval [weeks] Fig. Comparison of the failed state probability of the auxiliary feedwater pump of plant I: In case (a), tests are capable of detecting a degraded state with a probability of 50%, whereas in case (b) tests are not capable of detecting any mode of degradation.

It can be seen that the operational state probability decreases with the extension of the test interval. Operational State Probability 0,650 _ (1) test every 3 weeks 0,625 (2) test every 4 weeks 0,600 - (3) test every 6 weeks 0,575 , 0,550 0,525 1 2 3 Preventive Maintenance Interval = 12 Weeks Fig. 10. Compares the operational state probability of the auxiliary feedwater pump of Plant I for 3 different test intervals It can be seen that with the extension of the test interval, the operational state probability increases, caused by the increase of the failed state probability.

Operational state probability for 2 two component reliability performance strategies: In case (a) only preventive maintenance activities are considered, whereas in case (b) tests performed every 3 weeks within the preventive maintenance interval are included. It can be seen that the gap between the state probabilities becomes significantly large with the preventive maintenance interval exceeding 6 weeks. An interesting issue is the availability of the auxiliary feedwater pump depending on the component performance strategies.

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Advances in safety related maintenance

by Edward

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