Work

Research on interference signal recognition based on nonlinear support vector machine and logistic regression

Year: 2025

Type: conference-paper

Abstract: In this paper, the extraction of interference signals in acoustic emission and electromagnetic radiation and identifying time intervals for interference signal are studied. Firstly, select 11 kinds of interference characteristics in time domain, frequency domain and wavelet domain. Then, combine the Spearman coefficient and mutual information to extract three interference features, namely mean, standard deviation and wavelet domain energy for the test data. Then, establish the logistic regression model and the nonlinear support vector machine model (SVM)with the three interference features as the input vectors. Finally, carry out numerical experiments to obtain the time intervals of the interference signal.

Source: International Conference on Communication Networks and Machine Learning (CNML)

DOI: 10.1145/3728199.3728231

Authors: Miao Wang, Li Feng

Institution: Sichuan Normal University

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Funder: Sichuan Normal University

OpenAlex ID: W4410812569

FWCI:

Cites: 5

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Related to: 10