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| Detalhes das Apresentações - SIC 2005 |
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Título da Apresentação: |
Different Approaches to Treat Repairable System Data | |||
Systems can be categorized into two basic types; one-time or non-repairable systems, and reusable or repairable systems. In the latter case, under continuous operation, the system is repaired, but not replaced, after each failure. For example, if the system is a vehicle and the water pump fails, then the water pump is replaced and, therefore, the vehicle is repaired. The treatment of data obtained from such systems is different than the case of non-repairable systems. In non-repairable systems the failure data is collected and a representative distribution is fitted to this data in order to perform reliability estimations. On the other hand, in the repairable systems case, the analysis is not as straight forward since a stochastic process is in place. When considering repairable system data, there are different approaches available depending on the data and the objective of the analysis. For example, the engineer can analyze the data “directly” by fitting the NHPP-Power Law model or the GRP (Generalized Renewal Process) model. Another approach is to brake down the system into its LRUs (Lowest Replaceable Units) and failure modes, obtain the failure distributions of these LRUs and failure modes, and then create the Reliability Block Diagram of the system and analyze it. Each method and model has its underlying assumptions and it is imperative for the analyst to be aware of them. In this presentation the different approaches of treating repairable system data are reviewed, and the available models for each approach are explained and demonstrated. |
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Adam Mettas ReliaSoft Corporation |
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