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Condition monitoring and fault detection of wind turbines and related algorithms: A review

  • Z. Hameed
  • , Y. S. Hong
  • , Y. M. Cho
  • , S. H. Ahn*
  • , C. K. Song
  • *Corresponding author for this work
  • Seoul National University
  • Gyeongsang National University

Research output: Contribution to journalReview articlepeer-review

Abstract

Renewable energy sources like wind energy are copiously available without any limitation. Wind turbines are used to tap the potential of wind energy, which is available in millions of MW. Reliability of wind turbine is critical to extract this maximum amount of energy from the wind. We reviewed different techniques, methodologies and algorithms developed to monitor the performance of wind turbine as well as for an early fault detection to keep away the wind turbines from catastrophic conditions due to sudden breakdowns. To keep the wind turbine in operation, implementation of condition monitoring system (CMS) and fault detection system (FDS) is paramount and for this purpose ample knowledge of these two types of systems is mandatory. So, an attempt has been made in this direction to review maximum approaches related to CMS and FDS in this piece of writing.

Original languageEnglish
Pages (from-to)1-39
Number of pages39
JournalRenewable and Sustainable Energy Reviews
Volume13
Issue number1
DOIs
StatePublished - 2009.01

UN SDGs

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

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Algorithm
  • CMS
  • FDS
  • Reliability
  • WEC

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