Authors: В.П. Бабак, Ю.В. Куц, М.В. Мислович та ін.

Editors: за ред В.П. Бабака

Summary: The authors of this publication examine modern methods for identifying various objects based on the study of stochastic noise signals, which serve as an informational resource for the functioning of such objects. The focus is on mathematical models of the investigated signals and their probabilistic characteristics as potential informational features for object identification. The study also explores the envelope and phase method for determining phase characteristics of identification, along with examples utilizing experimental data from vibroacoustic signals of bearing units in electrical machines, human electroencephalographic signals, and phase characteristics of narrowband noise signals.

Reading audience: This monograph will be invaluable to scientists, engineers, educators, postgraduate students, and university students specializing in the identification of technical and physiological objects.

ISBN 978-966-00-1883-9

DOI: https://doi.org/10.15407/978-966-00-1883-9

Responsible institutions: General Energy Institute of NAS of Ukraine

Published: Kyiv

Other institutions: Ін-т електродинаміки НАН України ; Національний технічний ун-т України «Київський політехнічний ін-т ім. І. Сікорського» ; Тернопільський національний технічний ун-т ім. І. Пулюя

Size in pages: 240

Print run: 50