Methods and Models for Information Data Analysis

Babak, Vitalii; Babak, Serhii V.; Myslovych, Mykhailo V.; Zaporozhets, Artur; Zvaritch, Valeriy M.

doi:10.1007/978-3-030-44443-3_2

Cited by 49 publications

(15 citation statements)

References 17 publications

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“…Therefore, to elaborate algorithms for the functioning of monitoring and diagnostics systems, it is advisable to use the processes of autoregression (AR process), which have become widely used during the implementation of mathematical models of various types information signals and allow to elaborate algorithms for diagnosing technical objects that have a low frequency of shaft revolutions [18,19]. A theory of the same processes has been considered in the papers [20][21][22][23][24][25][26][27][28].…”

Section: Physical and Mathematical Modelsmentioning

confidence: 99%

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Some features of the systems for monitoring and diagnostic hydro units technical condition with considering smart grid technology

Zvaritch,

Zaitsev,

Myslovych

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Recently, hydro units are used in maneuverable modes, which leads to an increase in the load on all elements of hydro units. It can lead to unpredictable failure of their components and even failures in the operation of the hydroelectric power plant. Therefore, the use of diagnostic systems is appropriate for solving such problems. The most promising non-destructive diagnostic systems are vibration diagnosis systems. However, the effectiveness of their use depends on the diagnosis algorithms, which depend on the features and functioning of the diagnosed unit of the power unit. In this work, some models of vibration signals of hydraulic units and features of the construction of vibration diagnostics systems of hydrogenerator units are considered

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Section: Physical and Mathematical Modelsmentioning

confidence: 99%

“…This process is often called as the generating process. It is assumed that the process is stationary in the narrow sense and ergodic theorems are fulfilled [19]. Linear stationary autoregressive processes can be given by…”

Section: Physical and Mathematical Modelsmentioning

confidence: 99%

Some features of the systems for monitoring and diagnostic hydro units technical condition with considering smart grid technology

Zvaritch,

Zaitsev,

Myslovych

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…The concept of periodically correlated random sequences has been introduced in [15] and their spectral properties have been investigated. The statistical analysis methods of such processes have been considered in [14,[16][17][18]. The relationships between periodically correlated, cyclostationary, and linear random sequences (in the form of autoregressive moving average models with periodic coefficients) have been studied by many authors, including [14,16,19].…”

Section: Introductionmentioning

confidence: 99%

“…The statistical analysis methods of such processes have been considered in [14,[16][17][18]. The relationships between periodically correlated, cyclostationary, and linear random sequences (in the form of autoregressive moving average models with periodic coefficients) have been studied by many authors, including [14,16,19]. The corresponding applications for modeling the signals in energy and diagnostics of energy equipment have been represented in [14,16,18].…”

Section: Introductionmentioning

confidence: 99%

Properties of Discrete-Time Conditional Linear Cyclostationary Random Processes in the Problems of Energy Informatics

Fryz¹,

Scherbak²

2023

Sist. dosl. energ. (Online)

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Modern challenges in the energy industry require comprehensive research in the field of energy informatics, which combines computer science, control systems, and energy management systems within a single methodology. An important area of energy informatics is the study of problems of systems and processes modeling in energy, including energy loads and consumption. Linear and conditional linear random processes (CLRP) are mathematical models of signals represented as the sum of a large number of random impulses occurring at random times. The energy consumption, vibration signals of energy objects, etc. can be modeled using this approach. A variant of the CLRP model with discrete time, taking into account the cyclic properties of energy consumption, has been investigated in the paper. The goal is to justify the conditions for the discrete-time CLRP to be a periodically correlated random process, as well as a cyclostationary process. It has been shown that the corresponding conditions depend on the periodicity of the probability distributions of the kernel and the generating white noise of the CLRP representation. To achieve the goal, the properties of mathematical expectation and covariance function of CLRP, as well as the method of characteristic functions, have been used. The paper proves that the discrete-time CLRP is a periodically correlated random sequence if the generating white noise has periodic mathematical expectation and variance, and the kernel is a periodically correlated random field. Based on the analysis of the multivariate characteristic function, it has been proven that the discrete-time CLRP is cyclostationary if the generating white noise is a cyclostationary process and the kernel is a cyclostationary random field. The properties of discrete-time conditional linear cyclostationary random processes are important for mathematical modeling, simulation, statistical analysis, and forecasting of energy consumption. Keywords: mathematical model, energy informatics, conditional linear random process, cyclostationary process, white noise, characteristic function.

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“…Streaming data is transmitted between the nodes of the superimposed network along the routes selected by the underlying protocols [19,20]. Controlling the data transmission process will avoid congested areas in the network, increase the throughput and improve the reliability of the network as a whole [2,3,24,43,60,62]. Overlay networks rely on tree and multi-link structures [12,16,71].…”

Section: Introductionmentioning

confidence: 99%

Dynamic routing protocols for wireless touch networks: a review

Sverdlova¹,

Zaporozhets²,

Bohachev³

et al. 2022

J. Edge Comp.

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Wireless Touch Networks (WTN) have become increasingly important with the emergence of the Internet of Things (IoT) and are regarded as a class of self-organizing networks. This article presents an overview of the construction principles, routing protocols, quality of service parameters, traffic models, and characteristics of WTN. The article also explores the application of dynamic routing protocols for constructing a self-organizing network of autonomous IoT systems. Known dynamic routing protocols for mobile radio networks are reviewed and the advantages and disadvantages of proactive and reactive approaches are discussed.

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Methods and Models for Information Data Analysis

Cited by 49 publications

References 17 publications

Some features of the systems for monitoring and diagnostic hydro units technical condition with considering smart grid technology

Some features of the systems for monitoring and diagnostic hydro units technical condition with considering smart grid technology

Properties of Discrete-Time Conditional Linear Cyclostationary Random Processes in the Problems of Energy Informatics

Dynamic routing protocols for wireless touch networks: a review

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