A modified method of suppressing narrow-band interference using fast Fourier transform power spectrum

作者：Luo, Xin^*; Niu, Haiqing; Hu, Riliang; Liu, Fang; Wu, Juzhuo

来源：Proceedings of the CSEE, 2013, 33(12): 167-175.

• Adaptive fuzzy c-means
• De-noising
• Energy ratio
• Fuzzy C mean
• Narrow band interference
• Online monitoring
• Threshold algorithms
• Wavelet packet de-noising

The suppression of narrow-band interference is one of the key techniques of on-line monitoring of partial discharge. In this paper, the different characteristics of fast Fourier transform (FFT) power spectrum between simulation PD signals and PD signals mixed with the narrow-band interference were analysed. The notion of partial peaks was brought in and partial energy ratio was defined. Thus, a method of suppressing narrow-band interference using partial energy ratio pretreatment was proposed, and the steps are also designed. Besides, the magnitude of partial energy ratio is fuzzified and the adaptive fuzzy C-mean threshold algorithm was proposed to extract the threshold of partial energy ratio. The denoising simulation shows that the proposed method could pick narrow-band interference signal from real PD signal. The method of this paper was used in wavelet packet power spectrum to denoise narrow-band interference, comparison with that of wavelet packet denoising shows that the FFT is superior in suppressing narrow-band interference.

• 出版日期2013-4-25
• 单位华南理工大学