Tesi etd-06292018-124122 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
PAOLINELLI, GIANLUCA
URN
etd-06292018-124122
Titolo
Development and implementation of an advanced monitoring and diagnostic system for Hydro Power Plants based on Big Data analytics and Computational Intelligence
Dipartimento
INGEGNERIA DELL'ENERGIA, DEI SISTEMI, DEL TERRITORIO E DELLE COSTRUZIONI
Corso di studi
INGEGNERIA ELETTRICA
Relatori
relatore Prof. Tucci, Mauro
tutor Ing. Piazzi, Antonio
tutor Ing. Piazzi, Antonio
Parole chiave
- Big Data
- Computational Intelligence
- diagnostic
- Hydro Power Plant
- monitoring
- SOM
Data inizio appello
16/07/2018
Consultabilità
Completa
Riassunto
In this work, the development and the implementation of a real-time monitoring and diagnostic system for hydro power plants is introduced. The tool was developed, tested, and validated on data coming from a hydro power plant in Veneto. The plant is deeply sensorized, and thousands of signals are acquired requiring a Big Data approach. The operating system is able to detect plant malfunctions and deviations from nominal behaviour and to identify critical signals applying Computational Intelligence methods. The detection is performed through a key performance index based on Self Organizing Maps. The system is currently in full operation in the Test Plant and the results can be explored through a web dashboard.
File
| Nome file | Dimensione |
|---|---|
| Paolinel...hesis.pdf | 8.20 Mb |
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