Application of spectrum estimation and wavelet packet transform algorithm in suppression of PD’s discrete spectral interferenc
نویسندگان
چکیده
Based on the modern spectrum estimation theory and wavelet packet analysis (WPA), a new method is proposed for suppressing discrete spectral interference (DSI) within partial discharge (PD) signal. Firstly, the frequencies of DSI are determined based on the FFT of measured signal. Then, a model of DSI could be assumed and its parameters, such as amplitude and phase can be calculated by using the maximum likelihood estimation (MLE) theory. The measured signal and assumed DSI are de-composed by utilizing WPA. On the last level of decomposed tree, the node coefficient of measured signal, which contained the dominant frequency of DSI, minus that of DSI, then the coefficient difference is substituted for the coefficient of the right node of signal, while other nodes coefficient of signal is still invariability. Finally, the decomposed node tree of signal is renewed and by re-constructing the renewed decomposed node tree, the PD signal without narrow bandwidth noise is obtained. Simulation and experiment results are shown the validity of this proposed method. Key-words: spectrum estimation theory, wavelet packets transform, partial discharge, discrete spectral interference
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