The analysis of unsteady wind turbine data using wavelet techniques
- Univ. of Massachusetts, Amherst, MA (United States). Dept. of Mechanical Engineering
Wavelet analysis employs a relatively new technique which decomposes a signal into wavelets of finite length. A wavelet map is generated showing the distribution of signal variance in both the time and frequency domain. The first section of this paper begins with an introduction to wavelet theory, contrasting it to standard Fourier analysis. Some simple applications to the processing of harmonic signals are then given. Since wind turbines operate under unsteady stochastic loads, the time series of most machine parameters are non-stationary; wavelet analysis can be applied to this problem. In the second section of this paper, wavelet methods are used to examine data from Phase 2 of the NREL Combined Experiment. Data analyzed includes airfoil surface pressure, and low speed shaft torque. In each case the wavelet map offers valuable insight that could not be made without it.
- OSTI ID:
- 93012
- Report Number(s):
- CONF-950116--; ISBN 0-7918-1294-4
- Country of Publication:
- United States
- Language:
- English
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