Аннотация
The article introduces a method for diagnosing the stability of large-scale processes, centered around analyzing the fractal structure of time series. This method comprises several stages, such as data preparation, calculating fractal characteristics, and constructing a stability model based on the acquired data. Application of this method to real data demonstrated its effectiveness in both anomaly detection and predicting process stability.
Библиографические ссылки
Kenneth Falconer. (2013), “Fractals: A Very Short Introduction”, Published By Oxford University Press, 138-152 Pages, Paperback.
N. Otkhozoria, Z. Azmaiparashvili, L. Petriashvili, V. Otkhozoria, & E. Akhlouri. (2023). Labview In The Research Of Fractal Properties Of The Topology Of Networks And Stochastic Processes. World Science, (3(81). Https://Doi.Org/10.31435/Rsglobal_Ws/30092023/8020
N. Otkhozoria, V. Otkhozoria, M.Narchemashvili, Fractality Of Measurements Of Quantities And Real Processes. International Trends In Science And Technology, Engineering Sciences June 2021 Doi: https://doi.org/10.31435/rsglobal_conf/30062021/7620
Z Azmaiparashvili, N Otkhozoria (2021) “Mathematical Model for Studying the Accuracy Characteristics of Devices for Measuring the Resonant Frequency of Oscillatory Systems New Approaches in Engineering Research” 121-131 https://doi.org/10.9734/bpi/naer/v5/10242D.
Chkheidze Irina, Otkhozoria Nona, Narchemashvili Medea (2023) “Evaluation Of Measurement Quality Using The Monte-Carlo Method” // Universum: Technical Science №3-4 (84). Url: Https://Cyberleninka.Ru/Article/N/Evaluation-Of-Measurement-Quality-Using-The-Monte-Carlo-Method.
Это произведение доступно по лицензии Creative Commons «Attribution-NonCommercial-NoDerivatives» («Атрибуция — Некоммерческое использование — Без производных произведений») 4.0 Всемирная.
Copyright (c) 2024 Georgian Scientists