TY - GEN
T1 - Overview of Digital Twin Technology in Wind Turbine Fault Diagnosis and Condition Monitoring
AU - Olatunji, Obafemi O.
AU - Adedeji, Paul A.
AU - Madushele, Nkosinathi
AU - Jen, Tien Chien
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/5/13
Y1 - 2021/5/13
N2 - Accurate diagnosis of fault and condition monitoring in a wind turbine is critical to the prevention of turbine failure and timely maintenance or repair of any affected component. Hence, intelligent strategies in fault diagnosis and condition monitoring can offer huge advantage in utility scale wind power plant. Digital twin technology has emerged as an ingenious concept which can give wind energy industry an enhanced accessibility, visibility, and availability. This article provides an overview of the application of digital twin technology in the fault diagnosis and condition monitoring of wind turbine mechanical components. The frequently used tools for digital twins and enabling technologies are identified and briefly analysed while the common mode of failure in wind turbine components were highlighted. The benefits and challenges associated with the application of this technology are discussed. In conclusion, the key issues which need to be addressed to unleash the potential of digital twin technology in fault diagnosis and condition monitoring were outlined.
AB - Accurate diagnosis of fault and condition monitoring in a wind turbine is critical to the prevention of turbine failure and timely maintenance or repair of any affected component. Hence, intelligent strategies in fault diagnosis and condition monitoring can offer huge advantage in utility scale wind power plant. Digital twin technology has emerged as an ingenious concept which can give wind energy industry an enhanced accessibility, visibility, and availability. This article provides an overview of the application of digital twin technology in the fault diagnosis and condition monitoring of wind turbine mechanical components. The frequently used tools for digital twins and enabling technologies are identified and briefly analysed while the common mode of failure in wind turbine components were highlighted. The benefits and challenges associated with the application of this technology are discussed. In conclusion, the key issues which need to be addressed to unleash the potential of digital twin technology in fault diagnosis and condition monitoring were outlined.
KW - Digital twin
KW - Fault diagnosis
KW - Intelligent condition monitoring
KW - Mechanical components
KW - Wind turbine
UR - http://www.scopus.com/inward/record.url?scp=85111029692&partnerID=8YFLogxK
U2 - 10.1109/ICMIMT52186.2021.9476186
DO - 10.1109/ICMIMT52186.2021.9476186
M3 - Conference contribution
AN - SCOPUS:85111029692
T3 - Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021
SP - 201
EP - 207
BT - Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021
Y2 - 13 May 2021 through 15 May 2021
ER -