Evolutionary-based Hyperparameter Tuning in Machine Learning Models for Condition Monitoring in Wind Turbines - A Survey

Paul A. Adedeji, Obafemi O. Olatunji, Nkosinathi Madushele, Tien Chien Jen

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

6 Citations (Scopus)

Abstract

Optimality of model hyperparameters is essential for intelligent condition monitoring (ICM) of wind turbines using machine learning models, hence the need for hyperparameter tuning. Evolutionary algorithms (EAs) have been used for hyperparameter tuning of machine learning models, however, little is known about the hyperparameter tuning of these EAs. This study presents a survey of hyperparameter tuning of EAs used for tuning hyperparameters of machine learning models that are used in ICM of wind turbines. Findings show that many studies tune hyperparameters for machine learning models, however, a few studies tune these hyperparameters with EAs. Among these few, a handful tune the hyperparameters of such EAs and such studies in ICM of wind turbines is very sparse. Hence the need to explore this double stage hyperparameter (DSHP) tuning in ICM of wind turbines.

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.
Pages254-258
Number of pages5
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

  • Condition monitoring
  • Evolutionary algorithm
  • Hyperparameters
  • Machine learning
  • 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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