TitleFailure Prediction of Pvc Transmission Pipes Using Data-Driven Modeling |
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AuthorsDr. Thikra Dawood, Purdue University, United States of AmericaAssoc. Prof. Dr. Emad Elwakil, Purdue University, United States of America Lecturer Hector Mayol Novoa, University of St Augustin of Arequipa, Peru Lecturer José Fernando Gárate Delgado, University of St Augustin of Arequipa, Peru |
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AbstractPolyvinyl chloride (PVC) pipes are currently used in 80% of the water infrastructure in North America. Failure incidences in PVC pipes occur because of poor manufacturing practices, improper installation, or third-party damage. Data-driven modeling techniques have been extensively used in solving water infrastructure problems, especially when the obtained data are limited. this paper aims at developing a data-driven model that applies computational algorithms and provides the analytical foundations to predict future PVC pipe failures. First, data related to hydraulic pressure and flow rate are collected from the City of El Pedregal in Peru. The data are streamlined and fed to the simulation and regression machine. After successive simulation trials and numerous polynomial functions, the best fit model is selected. The coherency of the model is investigated through different statistical metrics, in conjunction with residual analysis. The results indicated the efficacy of the model with mean absolute error (MAE) of 0.35. The developed model is a predictive tool that can be used by infrastructure managers as a preemptive measure against future pipe breaks or leakages. |
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Keywordsfailure prediction, data-driven modeling, pvc pipe, water infrastructure, regression analysis. |
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CitationDawood, T., Elwakil, E., Novoa, H.M. & Delgado, J.F.G. (2020). Failure Prediction of Pvc Transmission Pipes Using Data-Driven Modeling . In M. Shelley & I. Sahin (Eds.), Proceedings of IConEST 2020--International Conference on Engineering, Science and Technology (pp. 42-47). Monument, CO, USA: ISTES Organization. Retrieved 23 April 2024 from www.2020.iconest.net/proceedings/10/. |
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