Title: Abnormal signal recognition of carrier communication in distribution network based on local outlier factor

Authors: Lei Cao; Shihua Xu; Qingzhu Meng; Yun Wang

Addresses: China Architecture Design & Research Group, Beijing, China ' China Architecture Design & Research Group, Beijing, China ' Beijing Huamei Decoration Engineering Co., Ltd., Beijing, China ' China Architecture Design & Research Group, Beijing, China

Abstract: In order to overcome the problems of high misrecognition rate, missed recognition rate and long time in traditional recognition methods, an abnormal signal recognition method of carrier communication in distribution network based on local outlier factor is proposed. OFDM technology and inverse discrete Fourier transform are used to modulate the carrier communication signal of the distribution network. The modulated communication signal is denoised by improving the variational mode decomposition method to determine the data set of the distribution network carrier communication signal. When the signal in the data set meets the local segregation factor condition, it is an abnormal signal, thus achieving the recognition of abnormal signals in the distribution network carrier communication. After experimental verification, the average misrecognition rate of the proposed method is 4.08%, the average missed recognition rate is 5.58% and the minimum time for identifying abnormal signals in distribution network carrier communication is 0.22 s.

Keywords: local outlier factor; distribution network; carrier communication; abnormal signal recognition; improving the variational mode decomposition method.

DOI: 10.1504/IJIPT.2024.146223

International Journal of Internet Protocol Technology, 2024 Vol.17 No.3, pp.123 - 132

Received: 31 Dec 2024
Accepted: 20 Feb 2025
Published online: 13 May 2025 *

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