Cloud monitoring system for industrial engines maintenance
This document reflects the memory of the Master's Final Project of the master's studies: Master's degree in Automatic Systems and Industrial Electronics Engineering (MUESAEI), from the Polytechnic University of Catalonia (UPC), completed at The School of Industrial, Aerospace and Audi...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/328861 |
| Acceso en línea: | https://hdl.handle.net/2117/328861 |
| Access Level: | acceso abierto |
| Palabra clave: | Electric motors, Induction Failure analysis (Engineering) Microcontrollers Engines--Maintenance and repair Induction motor Fault diagnosis Cloud system Monitoring Microcontroller Motors elèctrics d'inducció Anàlisi de fallades (Enginyeria) Microcontroladors Motors -- Manteniment i reparació Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
| Sumario: | This document reflects the memory of the Master's Final Project of the master's studies: Master's degree in Automatic Systems and Industrial Electronics Engineering (MUESAEI), from the Polytechnic University of Catalonia (UPC), completed at The School of Industrial, Aerospace and Audiovisual Engineering of Terrassa (ETSEIAAT). This project presents the design and experimental test of a cloud monitoring system for an industrial induction motor. Firstly, a chip microcontroller will acquire vibration and current signals and with FFT (Fast Fourier Transform) will send processed data trough wireless communications to a MQTT server working as data collector. A Virtual Machine running on the cloud will store processed data on an open source time series database and run a predictive maintenance algorithm for model-based and trending fault detection. Finally, all the results will be monitored in dashboards |
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