Abstract

The accuracy of speed tracking gives a chance occurrence of faults on wind turbine components. A bias fault estimation in the WTG (Wind Turbine Generator) system is needed as a reference for maintenance schedules to reduce maintenance costs. This paper proposes the use of the method of faults estimation on WTG component. The proposed method with a single observer is built using optimization ℓ0 norm constraint derived by applying a compressed sensing technique with a simulation in MATLAB. This method answers the problem of observability that is found in the use of a single observer to estimate several faults with limited measurement variables. This paper gives the results of the numerical example of sensor components fault in wind turbines to demonstrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings of 2019 International Conference on Information and Communication Technology and Systems, ICTS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages65-69
Number of pages5
ISBN (Electronic)9781728121338
DOIs
Publication statusPublished - Jul 2019
Event12th International Conference on Information and Communication Technology and Systems, ICTS 2019 - Surabaya, Indonesia
Duration: 18 Jul 2019 → …

Publication series

NameProceedings of 2019 International Conference on Information and Communication Technology and Systems, ICTS 2019

Conference

Conference12th International Conference on Information and Communication Technology and Systems, ICTS 2019
Country/TerritoryIndonesia
CitySurabaya
Period18/07/19 → …

Keywords

  • Bias Fault Estimation
  • Compressed Sensing
  • Constraint
  • Wind Turbine Generator

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