The classification and regression tree approach to pump failure rate analysis |
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Authors: | Maurizio Bevilacqua Marcello Braglia Roberto Montanari |
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Affiliation: | 1. Department of Mechanical Engineering, Universidade Tecnológica Federal do Paraná, Guarapuava, Paraná, Brazil;2. Department of Manufacturing Engineering, Universidade Tecnológica Federal do Paraná, Curitiba, Paraná, Brazil |
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Abstract: | In this article, a technique based on rule induction is suggested as non-parametric alternative to determine the expected failure rates of 143 centrifugal pumps included in a oil refinery plant and subjected to different operating conditions. At the same time, the procedure makes it possible to determine the critical operating factors influencing the reliability of the pumps. In particular, the classification and regression tree approach is used to automatically generate rules from an extended data base of the plant concerning information about failures and operating conditions of the different facilities. |
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Keywords: | Failure rate Reliability Rule induction Decision tree Classification and regression tree |
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