@inproceedings{9cdf5353c2fc453da076a0e8fa1cc7e4,
title = "A correlation-based noise suppression algorithm for power quality monitoring through wavelet transform",
abstract = "The wavelet transform (WT) technique has been proposed for detecting and localizing transient disturbance in the power systems. The disturbance is detected by comparing the transformed signal with a 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 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 (TPC) to test the effectiveness of the developed de-noising scheme.",
author = "Yang, {Hong Tzer} and Liao, {Chiung Chou}",
year = "2000",
month = jan,
day = "1",
doi = "10.1109/ICPST.2000.898159",
language = "English",
series = "PowerCon 2000 - 2000 International Conference on Power System Technology, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1311--1316",
editor = "Qi Su and Wong, {Kit Po} and Bob Stewart and Xiaoxin Zhou",
booktitle = "PowerCon 2000 - 2000 International Conference on Power System Technology, Proceedings",
address = "United States",
note = "International Conference on Power System Technology, PowerCon 2000 ; Conference date: 04-12-2000 Through 07-12-2000",
}