Wavelet-based signal processing method for detecting ice accretion on wind turbines

S. A. Saleh, R. Ahshan, C. R. Moloney

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

This paper presents the performances of a new method for detecting ice accumulation on wind turbines. The presented method is based on constructing a multiresolution analysis (MRA) to extract frequency components present in the electric currents flowing out of an electric generator driven by a wind turbine. The foundations of the proposed ice detection method are established based on the fact that ice accumulation leads to a slow increase in the wind turbine inertia, which triggers pulsations in the electromagnetic torque of the electric generator. Such torque pulsations create certain frequency components that can be extracted from the direct and quadrature components of the electric generator output currents. The Daubechies db6 basis functions are selected for constructing the desired MRA that will extract the frequency components from the electric generator output currents. The MRA-based ice detection method is implemented for simulation and experimental testing for two types of electric generators driven by wind turbines. Simulation and experimental performances demonstrate significant capabilities for fast, accurate, and consistent detection of ice accumulation on wind turbines. Furthermore, these performance results show that the responses of the proposed method are insensitive to turbine specifications, wind speed, and/or generator type.

Original languageEnglish
Pages (from-to)585-597
Number of pages13
JournalIEEE Transactions on Sustainable Energy
Volume3
Issue number3
DOIs
Publication statusPublished - 2012

Fingerprint

Electric generators
Wind turbines
Ice
Signal processing
Multiresolution analysis
Torque
Electric currents
Turbines
Specifications
Testing

Keywords

  • Digital filters
  • poly-phase ac machines
  • real-time implementation
  • wavelet transforms
  • wind turbines

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

Cite this

Wavelet-based signal processing method for detecting ice accretion on wind turbines. / Saleh, S. A.; Ahshan, R.; Moloney, C. R.

In: IEEE Transactions on Sustainable Energy, Vol. 3, No. 3, 2012, p. 585-597.

Research output: Contribution to journalArticle

@article{2fcd4908cfac4ba7bc7a663ca0d2c76f,
title = "Wavelet-based signal processing method for detecting ice accretion on wind turbines",
abstract = "This paper presents the performances of a new method for detecting ice accumulation on wind turbines. The presented method is based on constructing a multiresolution analysis (MRA) to extract frequency components present in the electric currents flowing out of an electric generator driven by a wind turbine. The foundations of the proposed ice detection method are established based on the fact that ice accumulation leads to a slow increase in the wind turbine inertia, which triggers pulsations in the electromagnetic torque of the electric generator. Such torque pulsations create certain frequency components that can be extracted from the direct and quadrature components of the electric generator output currents. The Daubechies db6 basis functions are selected for constructing the desired MRA that will extract the frequency components from the electric generator output currents. The MRA-based ice detection method is implemented for simulation and experimental testing for two types of electric generators driven by wind turbines. Simulation and experimental performances demonstrate significant capabilities for fast, accurate, and consistent detection of ice accumulation on wind turbines. Furthermore, these performance results show that the responses of the proposed method are insensitive to turbine specifications, wind speed, and/or generator type.",
keywords = "Digital filters, poly-phase ac machines, real-time implementation, wavelet transforms, wind turbines",
author = "Saleh, {S. A.} and R. Ahshan and Moloney, {C. R.}",
year = "2012",
doi = "10.1109/TSTE.2012.2194725",
language = "English",
volume = "3",
pages = "585--597",
journal = "IEEE Transactions on Sustainable Energy",
issn = "1949-3029",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",

}

TY - JOUR

T1 - Wavelet-based signal processing method for detecting ice accretion on wind turbines

AU - Saleh, S. A.

AU - Ahshan, R.

AU - Moloney, C. R.

PY - 2012

Y1 - 2012

N2 - This paper presents the performances of a new method for detecting ice accumulation on wind turbines. The presented method is based on constructing a multiresolution analysis (MRA) to extract frequency components present in the electric currents flowing out of an electric generator driven by a wind turbine. The foundations of the proposed ice detection method are established based on the fact that ice accumulation leads to a slow increase in the wind turbine inertia, which triggers pulsations in the electromagnetic torque of the electric generator. Such torque pulsations create certain frequency components that can be extracted from the direct and quadrature components of the electric generator output currents. The Daubechies db6 basis functions are selected for constructing the desired MRA that will extract the frequency components from the electric generator output currents. The MRA-based ice detection method is implemented for simulation and experimental testing for two types of electric generators driven by wind turbines. Simulation and experimental performances demonstrate significant capabilities for fast, accurate, and consistent detection of ice accumulation on wind turbines. Furthermore, these performance results show that the responses of the proposed method are insensitive to turbine specifications, wind speed, and/or generator type.

AB - This paper presents the performances of a new method for detecting ice accumulation on wind turbines. The presented method is based on constructing a multiresolution analysis (MRA) to extract frequency components present in the electric currents flowing out of an electric generator driven by a wind turbine. The foundations of the proposed ice detection method are established based on the fact that ice accumulation leads to a slow increase in the wind turbine inertia, which triggers pulsations in the electromagnetic torque of the electric generator. Such torque pulsations create certain frequency components that can be extracted from the direct and quadrature components of the electric generator output currents. The Daubechies db6 basis functions are selected for constructing the desired MRA that will extract the frequency components from the electric generator output currents. The MRA-based ice detection method is implemented for simulation and experimental testing for two types of electric generators driven by wind turbines. Simulation and experimental performances demonstrate significant capabilities for fast, accurate, and consistent detection of ice accumulation on wind turbines. Furthermore, these performance results show that the responses of the proposed method are insensitive to turbine specifications, wind speed, and/or generator type.

KW - Digital filters

KW - poly-phase ac machines

KW - real-time implementation

KW - wavelet transforms

KW - wind turbines

UR - http://www.scopus.com/inward/record.url?scp=84883235421&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84883235421&partnerID=8YFLogxK

U2 - 10.1109/TSTE.2012.2194725

DO - 10.1109/TSTE.2012.2194725

M3 - Article

VL - 3

SP - 585

EP - 597

JO - IEEE Transactions on Sustainable Energy

JF - IEEE Transactions on Sustainable Energy

SN - 1949-3029

IS - 3

ER -