Enhancement of damage-detection of wind turbine blades via CWT-based approaches

Chin Shun Tsai, Cheng Tao Hsieh, Shyh Jier Huang

Research output: Contribution to journalArticle

77 Citations (Scopus)

Abstract

In this paper, a continuous wavelet transform-based approach is applied to enhance the damage-detection capability of wind turbine blades. With the time-frequency localization features embedded in wavelets, the time and scale information of the acquired signals can be presented as a visualization scheme, where the condition monitoring of turbine blades can be better realized. Based on these sensor signals, this proposed approach was applied to discriminate the damaged structure from the healthy one under several scenarios. Test results have demonstrated the practicality and advantages of the proposed method for the application considered.

Original languageEnglish
Pages (from-to)776-781
Number of pages6
JournalIEEE Transactions on Energy Conversion
Volume21
Issue number3
DOIs
Publication statusPublished - 2006 Sep 1

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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