Overview of Digital Twin Technology in Wind Turbine Fault Diagnosis and Condition Monitoring

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

35 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages201-207
Number of pages7
ISBN (Electronic)9780738144627
DOIs
Publication statusPublished - 13 May 2021
Event12th IEEE International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021 - Cape Town, South Africa
Duration: 13 May 202115 May 2021

Publication series

NameProceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021

Conference

Conference12th IEEE International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021
Country/TerritorySouth Africa
CityCape Town
Period13/05/2115/05/21

Keywords

  • Digital twin
  • Fault diagnosis
  • Intelligent condition monitoring
  • Mechanical components
  • Wind turbine

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Mechanical Engineering
  • Mechanics of Materials
  • Metals and Alloys
  • Artificial Intelligence
  • Civil and Structural Engineering

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