Abstract
The performance of electronic and mechanic components used in any industrial process changes over time. The wear generated by uninterrupted usage and the external conditions increase the probability of suffering a failure and also make them less efficient, by reducing their performance and increasing the operational costs. To prevent these consequences, maintenance works are carried out periodically. In order to establish a predictive maintenance plan, it is necessary to have reliable analysis of the performance of these components. For this, a data-driven approach to quantify and monitor the performance degradation of this equipment is presented. This approach is tested over wastewater treatment plant equipment, the blowers from an aeration system and the pumps of two pumping systems. The results obtained with this approach had been validated by the plant managers.
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This work has been developed by the Intelligent Systems for Industrial Systems group supported by the Department of Education, Language policy and Culture of the Basque Government. It has been partially funded by the Basque Government.
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Lecuona, I., Basagoiti, R., Urchegui, G., Eciolaza, L., Zurutuza, U., Craamer, P. (2019). Performance Degradation Monitoring and Quantification: A Wastewater Treatment Plant Case Study. In: Lughofer, E., Sayed-Mouchaweh, M. (eds) Predictive Maintenance in Dynamic Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-05645-2_13
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DOI: https://doi.org/10.1007/978-3-030-05645-2_13
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