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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chin-Shun Tsai Shyh-Jier Huang Cheng-Tao Hsieh |
| Copyright Year | 2009 |
| Description | Author affiliation: Electrical Engineering at Kun Shan University, Tainan, Taiwan (Cheng-Tao Hsieh) || National Cheng Kung University, Tainan, Taiwan (Chin-Shun Tsai) || Department of Electrical Engineering, National Cheng-Kung University, Taiwan (Shyh-Jier Huang) |
| 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. |
| Starting Page | 1 |
| Ending Page | 7 |
| File Size | 626101 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424438105 |
| DOI | 10.1109/PSCE.2009.4840038 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Energy consumption Fourier transforms Blades Inspection Time frequency analysis convex set Wind energy Energy resources Generalized time-bandwidth product based short-time Fourier transform wind turbine blade Economic forecasting Wind turbines Monitoring |
| Content Type | Text |
| Resource Type | Article |
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