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 Sep 22
Event2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009 - Seattle, WA, United States
Duration: 2009 Mar 152009 Mar 18

Publication series

Name2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009

Other

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

All Science Journal Classification (ASJC) codes

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

Fingerprint Dive into the research topics of 'Inspection enhancement of wind turbine blades using novel signal-processing approaches'. Together they form a unique fingerprint.

  • 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] (2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009). https://doi.org/10.1109/PSCE.2009.4840038