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