Inspection enhancement of wind turbine blades using novel signal-processing approaches

Chin Shun Tsai, Shyh-Jier Huang, Cheng Tao Hsieh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, a signal-processing approach is applied to enhance the inspection of wind turbine blades. This method starts with a time-frequency representation of signals, where a generalized time-bandwidth product method integrated with short-time Fourier transform is developed and applied. It is followed by the utilization of convex set to help justify the contour map such that the blade-condition monitoring can be better realized. Through test signals received from the sensors, it was found that the proposed approach would discriminate the damaged structure from the healthy one under several scenarios, thereby ensuring a higher efficiency of wind power generation.

Original languageEnglish
Title of host publication2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009
DOIs
Publication statusPublished - 2009
Event2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009 - Seattle, WA, United States
Duration: 2009 Mar 152009 Mar 18

Other

Other2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009
CountryUnited States
CitySeattle, WA
Period09-03-1509-03-18

Fingerprint

Condition monitoring
Wind turbines
Wind power
Turbomachine blades
Power generation
Fourier transforms
Signal processing
Inspection
Bandwidth
Sensors

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Tsai, C. S., Huang, S-J., & Hsieh, C. T. (2009). Inspection enhancement of wind turbine blades using novel signal-processing approaches. In 2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009 [4840038] https://doi.org/10.1109/PSCE.2009.4840038
Tsai, Chin Shun ; Huang, Shyh-Jier ; Hsieh, Cheng Tao. / Inspection enhancement of wind turbine blades using novel signal-processing approaches. 2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009. 2009.
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abstract = "In this paper, a signal-processing approach is applied to enhance the inspection of wind turbine blades. This method starts with a time-frequency representation of signals, where a generalized time-bandwidth product method integrated with short-time Fourier transform is developed and applied. It is followed by the utilization of convex set to help justify the contour map such that the blade-condition monitoring can be better realized. Through test signals received from the sensors, it was found that the proposed approach would discriminate the damaged structure from the healthy one under several scenarios, thereby ensuring a higher efficiency of wind power generation.",
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Tsai, CS, Huang, S-J & Hsieh, CT 2009, Inspection enhancement of wind turbine blades using novel signal-processing approaches. in 2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009., 4840038, 2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009, Seattle, WA, United States, 09-03-15. https://doi.org/10.1109/PSCE.2009.4840038

Inspection enhancement of wind turbine blades using novel signal-processing approaches. / Tsai, Chin Shun; Huang, Shyh-Jier; Hsieh, Cheng Tao.

2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009. 2009. 4840038.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Tsai, Chin Shun

AU - Huang, Shyh-Jier

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N2 - In this paper, a signal-processing approach is applied to enhance the inspection of wind turbine blades. This method starts with a time-frequency representation of signals, where a generalized time-bandwidth product method integrated with short-time Fourier transform is developed and applied. It is followed by the utilization of convex set to help justify the contour map such that the blade-condition monitoring can be better realized. Through test signals received from the sensors, it was found that the proposed approach would discriminate the damaged structure from the healthy one under several scenarios, thereby ensuring a higher efficiency of wind power generation.

AB - In this paper, a signal-processing approach is applied to enhance the inspection of wind turbine blades. This method starts with a time-frequency representation of signals, where a generalized time-bandwidth product method integrated with short-time Fourier transform is developed and applied. It is followed by the utilization of convex set to help justify the contour map such that the blade-condition monitoring can be better realized. Through test signals received from the sensors, it was found that the proposed approach would discriminate the damaged structure from the healthy one under several scenarios, thereby ensuring a higher efficiency of wind power generation.

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Tsai CS, Huang S-J, Hsieh CT. Inspection enhancement of wind turbine blades using novel signal-processing approaches. In 2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009. 2009. 4840038 https://doi.org/10.1109/PSCE.2009.4840038