Open AccessMethod of signal identification based on wavelet analysis.
Author(s) -
В. А. Логинов,
Andrey V. Elnikov
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/921/1/012014
Subject(s) - wavelet , identification (biology) , polygon (computer graphics) , perimeter , signal (programming language) , fence (mathematics) , computer science , signal processing , wavelet transform , pattern recognition (psychology) , digital signal processing , engineering , artificial intelligence , structural engineering , telecommunications , mathematics , computer hardware , geometry , botany , frame (networking) , biology , programming language
The article presents the results of the development of a method for identifying the source of vibroacoustic impact on the sensitive element of the fiberoptic perimeter protection system of industrial facilities. The methodology was tested on the identification of signals from the following sources of vibroacoustic impact: impact over a certain period of time, or shaking the fence (t-impact); short-term impact type impact (ẟ-exposure). In the course of the work, polygon tests of the perimeter security system were conducted, a library of signals was compiled, and characteristic features of signals of various types of impact on the sensitive element of the system were identified. The main signal processing tools are the Fourier and wavelet transforms.