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

Lorenzo Ciani; Diego Galar; Gabriele Patrizi

doi:10.1109/I2MTC.2019.8827041

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

Lorenzo Ciani
, Diego Galar
, Gabriele Patrizi

University of Florence
Luleå University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

19 Citations (Scopus)

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.

Original language	English
Title of host publication	I2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings
ISBN (Electronic)	9781538634608
DOIs	https://doi.org/10.1109/I2MTC.2019.8827041
Publication status	Published - May 2019
Externally published	Yes
Event	2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019 - Auckland, New Zealand Duration: 20 May 2019 → 23 May 2019

Publication series

Name	I2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings
Volume	2019-May

Conference

Conference	2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019
Country/Territory	New Zealand
City	Auckland
Period	20/05/19 → 23/05/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Humidity
RBD
Reliability
Temperature
Wind turbine

Access to Document

10.1109/I2MTC.2019.8827041

Cite this

Ciani, L., Galar, D., & Patrizi, G. (2019). Improving context awareness reliability estimation for a wind turbine using an RBD model. In I2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings Article 8827041 (I2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings; Vol. 2019-May). https://doi.org/10.1109/I2MTC.2019.8827041

@inproceedings{981b039e7be847ef8edb394c8e070688,

title = "Improving context awareness reliability estimation for a wind turbine using an RBD model",

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.",

keywords = "Humidity, RBD, Reliability, Temperature, Wind turbine",

author = "Lorenzo Ciani and Diego Galar and Gabriele Patrizi",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019 ; Conference date: 20-05-2019 Through 23-05-2019",

year = "2019",

month = may,

doi = "10.1109/I2MTC.2019.8827041",

language = "English",

series = "I2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings",

booktitle = "I2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings",

}

Ciani, L, Galar, D & Patrizi, G 2019, Improving context awareness reliability estimation for a wind turbine using an RBD model. in I2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings., 8827041, I2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings, vol. 2019-May, 2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019, Auckland, New Zealand, 20/05/19. https://doi.org/10.1109/I2MTC.2019.8827041

Improving context awareness reliability estimation for a wind turbine using an RBD model. / Ciani, Lorenzo; Galar, Diego; Patrizi, Gabriele.
I2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings. 2019. 8827041 (I2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings; Vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Improving context awareness reliability estimation for a wind turbine using an RBD model

AU - Ciani, Lorenzo

AU - Galar, Diego

AU - Patrizi, Gabriele

PY - 2019/5

Y1 - 2019/5

N2 - 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.

AB - 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.

KW - Humidity

KW - RBD

KW - Reliability

KW - Temperature

KW - Wind turbine

UR - https://www.scopus.com/pages/publications/85072820853

U2 - 10.1109/I2MTC.2019.8827041

DO - 10.1109/I2MTC.2019.8827041

M3 - Conference contribution

AN - SCOPUS:85072820853

T3 - I2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings

BT - I2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings

T2 - 2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019

Y2 - 20 May 2019 through 23 May 2019

ER -

Ciani L, Galar D, Patrizi G. Improving context awareness reliability estimation for a wind turbine using an RBD model. In I2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings. 2019. 8827041. (I2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings). doi: 10.1109/I2MTC.2019.8827041

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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