Denoising techniques with a spatial noise-suppression method for wavelet-based power quality monitoring

Chiung Chou Liao, Hong-Tzer Yang, Hsueh Hsien Chang

研究成果: Article

35 引文 斯高帕斯(Scopus)

摘要

The wavelet transform (WT) technique has been proposed for detecting and localizing a transient disturbance in power systems. The disturbance is detected by comparing the transformed signal with an empirically given threshold. However, as the signal under analysis contains noises, especially the white noise with flat spectrum, the threshold is difficult to give. Due to the nature of the flat spectrum, a filter cannot just get rid of the noise without removing the significant disturbance signals together. To enhance the WT technique in processing the noise-riding signals, this paper proposes a noise-suppression algorithm. The abilities of the WT in detecting and localizing the disturbances can hence be restored. Finally, this paper employed the actual data obtained from the practical power systems of Taiwan Power Company to test the effectiveness of the developed noise-suppression method.

原文English
文章編號5730494
頁(從 - 到)1986-1996
頁數11
期刊IEEE Transactions on Instrumentation and Measurement
60
發行號6
DOIs
出版狀態Published - 2011 六月 1

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Electrical and Electronic Engineering

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