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

Chin Shun Tsai, Cheng Tao Hsieh, Shyh Jier Huang

研究成果: Article同行評審

80 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)776-781
頁數6
期刊IEEE Transactions on Energy Conversion
21
發行號3
DOIs
出版狀態Published - 2006 九月

All Science Journal Classification (ASJC) codes

  • 能源工程與電力技術
  • 電氣與電子工程

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