Modeling and Characterization of Transformers Internal Faults Using Finite Element and Discrete Wavelet Transforms
β Scribed by Abed, N.Y.; Mohammed, O.A.
- Book ID
- 114651768
- Publisher
- IEEE
- Year
- 2007
- Tongue
- English
- Weight
- 889 KB
- Volume
- 43
- Category
- Article
- ISSN
- 0018-9464
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract This study combines wavelet transforms and feedβforward neural network methods for reference evapotranspiration estimation. The climatic data (air temperature, solar radiation, wind speed, relative humidity) from two stations in the United States was evaluated for estimating models. For
An exploration of the wavelet transform as applied to daily river discharge records demonstrates its strong potential for quantifying stream Β―ow variability. Both periodic and non-periodic features are detected equally, and their locations in time preserved. Wavelet scalograms often reveal structure