Standard

Chaotic Rhythms as Indicators of Faults in Technical Systems. / Makshanov, A. V. ; Musaev, A. A. ; Grigoriev, D. A. .

Proceedings - 2023 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2023. Institute of Electrical and Electronics Engineers Inc., 2023. стр. 584-588.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование

Harvard

Makshanov, AV, Musaev, AA & Grigoriev, DA 2023, Chaotic Rhythms as Indicators of Faults in Technical Systems. в Proceedings - 2023 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2023. Institute of Electrical and Electronics Engineers Inc., стр. 584-588, 2023 International Conference on Industrial Engineering, Applications and Manufacturing, 15/03/23. https://doi.org/10.1109/icieam57311.2023.10139058

APA

Makshanov, A. V., Musaev, A. A., & Grigoriev, D. A. (2023). Chaotic Rhythms as Indicators of Faults in Technical Systems. в Proceedings - 2023 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2023 (стр. 584-588). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/icieam57311.2023.10139058

Vancouver

Makshanov AV, Musaev AA, Grigoriev DA. Chaotic Rhythms as Indicators of Faults in Technical Systems. в Proceedings - 2023 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2023. Institute of Electrical and Electronics Engineers Inc. 2023. стр. 584-588 https://doi.org/10.1109/icieam57311.2023.10139058

Author

Makshanov, A. V. ; Musaev, A. A. ; Grigoriev, D. A. . / Chaotic Rhythms as Indicators of Faults in Technical Systems. Proceedings - 2023 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2023. Institute of Electrical and Electronics Engineers Inc., 2023. стр. 584-588

BibTeX

@inproceedings{7fea7eec2f7547dba47e4eaeec92d5c3,
title = "Chaotic Rhythms as Indicators of Faults in Technical Systems",
abstract = "This article discusses diagnostics of the condition of complex technical systems based on analyzing the internal rhythms of vibroacoustic measurement sequences from the perspective of chaotic dynamics. This approach significantly increases the interpretability of diagnostic information and, consequently, the quality of diagnostic choices. The diagnostic process is based on the hypothesis that there are strong correlations between the degree of malfunction, manifested in the deviation of the system state from the routine values, and indicators of the degree of randomness of the measured processes. In other words, the deviation of the technical system from its operational state leads to the emergence of nonlinear effects. These effects generate chaotic dynamics of the observed processes. The article proposes algorithms for detecting, visualizing and diagnosing chaotic rhythms in vibroacoustic time series.",
keywords = "chaotic processes, internal rhythms, nonlinearity, vibroacoustic diagnostics",
author = "Makshanov, {A. V.} and Musaev, {A. A.} and Grigoriev, {D. A.}",
note = "A. V. Makshanov, A. A. Musaev and D. A. Grigoriev, {"}Chaotic Rhythms as Indicators of Faults in Technical Systems,{"} 2023 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), Sochi, Russian Federation, 2023, pp. 584-588, doi: 10.1109/ICIEAM57311.2023.10139058.; 2023 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM ; Conference date: 15-03-2023 Through 19-05-2023",
year = "2023",
month = may,
day = "15",
doi = "10.1109/icieam57311.2023.10139058",
language = "English",
isbn = "9781665475952",
pages = "584--588",
booktitle = "Proceedings - 2023 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

RIS

TY - GEN

T1 - Chaotic Rhythms as Indicators of Faults in Technical Systems

AU - Makshanov, A. V.

AU - Musaev, A. A.

AU - Grigoriev, D. A.

N1 - A. V. Makshanov, A. A. Musaev and D. A. Grigoriev, "Chaotic Rhythms as Indicators of Faults in Technical Systems," 2023 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), Sochi, Russian Federation, 2023, pp. 584-588, doi: 10.1109/ICIEAM57311.2023.10139058.

PY - 2023/5/15

Y1 - 2023/5/15

N2 - This article discusses diagnostics of the condition of complex technical systems based on analyzing the internal rhythms of vibroacoustic measurement sequences from the perspective of chaotic dynamics. This approach significantly increases the interpretability of diagnostic information and, consequently, the quality of diagnostic choices. The diagnostic process is based on the hypothesis that there are strong correlations between the degree of malfunction, manifested in the deviation of the system state from the routine values, and indicators of the degree of randomness of the measured processes. In other words, the deviation of the technical system from its operational state leads to the emergence of nonlinear effects. These effects generate chaotic dynamics of the observed processes. The article proposes algorithms for detecting, visualizing and diagnosing chaotic rhythms in vibroacoustic time series.

AB - This article discusses diagnostics of the condition of complex technical systems based on analyzing the internal rhythms of vibroacoustic measurement sequences from the perspective of chaotic dynamics. This approach significantly increases the interpretability of diagnostic information and, consequently, the quality of diagnostic choices. The diagnostic process is based on the hypothesis that there are strong correlations between the degree of malfunction, manifested in the deviation of the system state from the routine values, and indicators of the degree of randomness of the measured processes. In other words, the deviation of the technical system from its operational state leads to the emergence of nonlinear effects. These effects generate chaotic dynamics of the observed processes. The article proposes algorithms for detecting, visualizing and diagnosing chaotic rhythms in vibroacoustic time series.

KW - chaotic processes

KW - internal rhythms

KW - nonlinearity

KW - vibroacoustic diagnostics

UR - https://www.mendeley.com/catalogue/04daf481-a7da-377d-938c-cb48d21279b9/

U2 - 10.1109/icieam57311.2023.10139058

DO - 10.1109/icieam57311.2023.10139058

M3 - Conference contribution

SN - 9781665475952

SP - 584

EP - 588

BT - Proceedings - 2023 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 International Conference on Industrial Engineering, Applications and Manufacturing

Y2 - 15 March 2023 through 19 May 2023

ER -

ID: 105922337