All devices are fabricated from materials that degrade with time. Degradation will continue until some critical device parameter can no longer meet the required specification for proper device functionality. Reliability estimation can assess the current health of a system and predict its remaining life. This kind of analysis is critical to improve safety, optimize scheduled maintenance, reduce life-cycle cost and minimize down time. This work analyses the reliability of a 2MW wind turbine using the Reliability Block Diagram method. The paper compares the reliability estimated in standard environmental conditions and the reliability evaluated considering the real temperature and humidity values acquired using a SCADA system.

Improving context awareness reliability estimation for a wind turbine using an RBD model / Ciani L.; Galar D.; Patrizi G.. - ELETTRONICO. - 2019-:(2019), pp. 1-6. (Intervento presentato al convegno 2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019 tenutosi a Auckland; New Zealand nel 20 May 2019 through 23 May 2019) [10.1109/I2MTC.2019.8827041].

Improving context awareness reliability estimation for a wind turbine using an RBD model

Ciani L.;Patrizi G.
2019

Abstract

All devices are fabricated from materials that degrade with time. Degradation will continue until some critical device parameter can no longer meet the required specification for proper device functionality. Reliability estimation can assess the current health of a system and predict its remaining life. This kind of analysis is critical to improve safety, optimize scheduled maintenance, reduce life-cycle cost and minimize down time. This work analyses the reliability of a 2MW wind turbine using the Reliability Block Diagram method. The paper compares the reliability estimated in standard environmental conditions and the reliability evaluated considering the real temperature and humidity values acquired using a SCADA system.
2019
Conference Record - IEEE Instrumentation and Measurement Technology Conference
2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019
Auckland; New Zealand
20 May 2019 through 23 May 2019
Ciani L.; Galar D.; Patrizi G.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1174834
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