Wind energy is the leading candidate among renewable energy sources as an alternative to burning fossil fuels. A proper and accurate condition monitoring plan is necessary to ensure the high reliability and availability required by energy production systems. This article proposes a wireless mesh network to implement a widely distributed condition monitoring system for a wind farm. Using different types of sensor, the condition monitoring system evaluates the health state of each turbine. The aim of the work is to propose an architecture that can identify possible incipient failures in the most critical turbine's components. Using this system, it is possible to guarantee continuity of service minimising the unplanned maintenance operation due to hidden failure.

A hybrid tree sensor network for a condition monitoring system to optimise maintenance policy / Ciani L.; Bartolini A.; Guidi G.; Patrizi G.. - In: ACTA IMEKO. - ISSN 0237-028X. - ELETTRONICO. - 9:(2020), pp. 3-9.

A hybrid tree sensor network for a condition monitoring system to optimise maintenance policy

Ciani L.;Bartolini A.;Guidi G.;Patrizi G.
2020

Abstract

Wind energy is the leading candidate among renewable energy sources as an alternative to burning fossil fuels. A proper and accurate condition monitoring plan is necessary to ensure the high reliability and availability required by energy production systems. This article proposes a wireless mesh network to implement a widely distributed condition monitoring system for a wind farm. Using different types of sensor, the condition monitoring system evaluates the health state of each turbine. The aim of the work is to propose an architecture that can identify possible incipient failures in the most critical turbine's components. Using this system, it is possible to guarantee continuity of service minimising the unplanned maintenance operation due to hidden failure.
2020
9
3
9
Goal 7: Affordable and clean energy
Ciani L.; Bartolini A.; Guidi G.; Patrizi G.
File in questo prodotto:
File Dimensione Formato  
732-5349-1-PB.pdf

accesso aperto

Descrizione: acta_9_2020
Tipologia: Versione finale referata (Postprint, Accepted manuscript)
Licenza: Open Access
Dimensione 619.18 kB
Formato Adobe PDF
619.18 kB Adobe PDF

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1206540
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 20
  • ???jsp.display-item.citation.isi??? ND
social impact