Compensatory Method for Measuring Phase Shift Using Signals Bisemiperiodic Conversion in Diagnostic Intelligence Systems

Autor(en): Tyshko, Sergey
Lavrut, Oleksandr
Vysotska, Victoria
Markiv, Oksana
Zabula, Oleh
Chernichenko, Yurii
Lavrut, Tetiana
Herausgeber: Emmerich, M.
Vysotska, V.
Stichwörter: Analog-digital conversion; Compensation method; correlation coefficient; Determination methods; Diagnostic; diagnostics; Error compensation; Extrema; extremum; harmonic signal; Harmonic signals; Intelligence systems; measurement; measurement error; phase shift; phase shift measurement; Reference functions
Erscheinungsdatum: 2022
Herausgeber: CEUR-WS
Journal: CEUR Workshop Proceedings
Volumen: 3312
Startseite: 144 – 154
Zusammenfassung: 
This article dwells upon phase shift determination method using total signal obtained as a result of summing up two harmonic signals after carrying out bisemiperiodic transformation, which can be attributed to measurement compensation method. Value of phase shift has been determined by comparing vector obtained after amplitude time analog-digital conversion of total signal with a set of reference function vectors. Maximum value of correlation coefficient has been used as criterion for specified vectors coincidence. Algorithm for finding the maximum correlation coefficient using golden section method has been developed. Main errors sources for proposed method of phase shift measurement have been determined. Application of proposed method in artificial intelligence system for diagnostic and determination of modern weapons and military equipment state will allow to reduce requirements for measuring equipment without reducing accuracy of measurements. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
Beschreibung: 
Cited by: 2; Conference name: 4th International Workshop of Modern Machine Learning Technologies and Data Science, MoMLeT and DS 2022; Conference date: 25 November 2022 through 26 November 2022; Conference code: 185816
ISSN: 1613-0073
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146122448&partnerID=40&md5=c06837a4d3873f149561bc165e1ace71

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