Zhu, T.X. and Tso, S.K. and Lo, K.L. (2004) Wavelet-based fuzzy reasoning approach to power-quality disturbance recognition. IEEE Transactions on Power Delivery, 19 (4). pp. 1928-1935. ISSN 0885-8977Full text not available in this repository. (Request a copy from the Strathclyde author)
This paper proposes a wavelet-based extended fuzzy reasoning approach to power-quality disturbance recognition and identification. To extract power-quality disturbance features, the energy distribution of the wavelet part at each decomposition level is introduced and its calculation mathematically established. Based on these features, rule bases are generated for extended fuzzy reasoning. The power-quality disturbance features are finally mapped into a real number, in terms of which different power-quality disturbance waveforms are classified. Numerical results obtained from a large database show that the disturbance waveforms such as high- and low-frequency capacitor switching, voltage sag, impulsive transient, transformer energizing, and perfect sine waveform can all be correctly identified. The effect of the amplitude and frequency content of power-quality disturbance on the energy distribution patterns and the effect of noise on classification accuracy are also discussed in the paper.
|Keywords:||capacitor switching, fuzzy set theory, inference mechanisms power supply, wavelet transforms, Electrical engineering. Electronics Nuclear engineering, Energy Engineering and Power Technology, Electrical and Electronic Engineering|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
|Depositing user:||Strathprints Administrator|
|Date Deposited:||08 Nov 2007|
|Last modified:||22 Mar 2017 09:39|