scholarly journals Entropic model of network dynamics of clocking network synchronization

2021 ◽  
Vol 2131 (4) ◽  
pp. 042089
Author(s):  
A K Kanaev ◽  
E V Oparin ◽  
E V Oparina
Keyword(s):  
Network Dynamics ◽  
Technical Condition ◽  
Main Task ◽  
Differential Entropy ◽  
Network Synchronization ◽  
Telecommunication System ◽  
Entropy Model ◽  
Telecommunication Services ◽  
Diagnostic Parameters ◽  
Network Equipment

Abstract The main task of the clocking network synchronization (CNS) network subsystem is the formation, transmission, distribution and delivery of synchronization signals to the telecommunication system (TCS) digital equipment for the purpose of its coordinated interaction. Indicators of the telecommunication services quality are inextricably linked with the indicators of the CNS network functioning quality, in this regard, the process of monitoring and managing the CNS network comes to the fore for the purpose of prompt detection of failures and their subsequent elimination. The article provides an overview of the main classes of CNS network equipment and their diagnostic parameters, and also indicates the significant influence of the CNS network functioning process on the entire TCS functioning. To assess the technical condition of the CNS network an approach using the entropy analysis of the diagnostic parameters of the CNS network elements is proposed. The entropy model of the network dynamics is obtained in CNS work, which can later be used to develop a methodology for monitoring the technical condition of the CNS network. Using this model, it is possible to estimate not only the differential entropy of each CNS network element, but also to estimate the differential entropy of the entire CNS network or a separate fragment of the CNS network. Differential entropy parameters reflect the technical state of the CNS network.

scholarly journals Definition of Set of diagnostic Parameters of System based on the Functional Spaces Theory

2019 ◽  
Vol 18 (4) ◽  
pp. 949-975 ◽  
Author(s):  
Valentin Senchenkov ◽  
Damir Absalyamov ◽  
Dmitriy Avsyukevich
Keyword(s):  
Fourier Series ◽  
Experimental Studies ◽  
Numerical Procedure ◽  
Physical Nature ◽  
Convergent Series ◽  
Technical Condition ◽  
Partial Sums ◽  
Diagnostic Tools ◽  
Diagnostic Parameters ◽  
Integrable Functions

The development of methodical and mathematical apparatus for formation of a set of diagnostic parameters of complex technical systems, the content of which consists of processing the trajectories of the output processes of the system using the theory of functional spaces, is  considered in this paper. The trajectories of the output variables are considered as Lebesgue measurable functions. It ensures a unified approach to obtaining diagnostic parameters regardless  a physical nature of these variables and a set of their jump-like changes (finite discontinuities of trajectories). It adequately takes into account a complexity of the construction, a variety of physical principles and algorithms of systems operation. A structure of factor-spaces of measurable square Lebesgue integrable functions, ( spaces) is defined on sets of trajectories. The properties of these spaces allow to decompose the trajectories by the countable set of mutually orthogonal directions and represent them in the form of a convergent series. The choice of a set of diagnostic parameters as an ordered sequence of coefficients of decomposition of trajectories into partial sums of Fourier series is substantiated. The procedure of formation of a set of diagnostic parameters of the system, improved in comparison with the initial variants, when the trajectory is decomposed into a partial sum of Fourier series by an orthonormal Legendre basis, is presented. A method for the numerical determination of the power of such a set is proposed. New aspects of obtaining diagnostic information from the vibration processes of the system are revealed. A structure of spaces of continuous square Riemann integrable functions ( spaces) is defined on the sets of vibrotrajectories. Since they are subspaces in the afore mentioned factor-spaces, the general methodological bases for the transformation of vibrotrajectories remain unchanged. However, the algorithmic component of the choice of diagnostic parameters becomes more specific and observable. It is demonstrated by implementing a numerical procedure for decomposing vibrotrajectories by an orthogonal trigonometric basis, which is contained in spaces. The processing of the results of experimental studies of the vibration process and the setting on this basis of a subset of diagnostic parameters in one of the control points of the system is provided. The materials of the article are a contribution to the theory of obtaining information about the technical condition of complex systems. The applied value of the proposed development is a possibility of their use for the synthesis of algorithmic support of automated diagnostic tools.

scholarly journals Development of Optimum Repair Schedule of Electrical Network Equipment to Improve the Reliability of its Functioning

2019 ◽  
pp. 4-11
Author(s):  
Sergey V. Belyaev ◽  
Aleksey V. Malafeev ◽  
Evgeniy Ya. Omelchenko
Keyword(s):  
Power Supply ◽  
Technical Condition ◽  
Electrical Network ◽  
Steady Increase ◽  
Electrical Networks ◽  
Number Of Factors ◽  
Network Equipment ◽  
Long Time ◽  
Planning Algorithm ◽  
Labor Resources

To ensure uninterrupted power supply to consumers, maintenance of the electrical networks in a working condition is today carried out through the use of a system of preventive maintenance. In the general case such a system allows building equipment repair schedules based on repair cycles for a long time predetermining the list of necessary material and labor resources in advance. However, in practice, the use of this system is rather difficult and not always effective. This is due to the need to change the repair schedule for emergency or urgent repairs taking into account the seasonality of work performed and the organizational structure of the production department of electrical networks and related departments as well as taking into account the specific features of the operation of specific equipment. Taking into account the current pace of development of electrical networks with a steady increase in the number of consumers (which also leads to a complication of the configuration of electrical networks) this is impossible without the use of appropriate mathematics and software that automates the planning processes for the maintenance and repair of electrical networks with a large number of factors. The minimum equipment downtime was taken as the main criterion for optimality, as a factor that largely determines the reliability of power supply. A planning algorithm has been developed that takes into account the ranking of works in order of importance, the possibility of their shift in time and the likely adjustment of the schedule based on the results of assessing the technical condition of the equipment. A method for minimizing the downtime of repair crews by using them in adjacent areas as well as a technique for identifying a set of equipment that may be under repair in the same period of time are proposed.

scholarly journals Voltage Spectral Structure as a Parameter of System Technical Diagnostics of Ship Diesel Engine-Synchronous Generators

2015 ◽  
Vol 8 (1) ◽  
pp. 37-42 ◽  
Author(s):  
Aleksandrs Gasparjans ◽  
Aleksandrs Terebkovs ◽  
Anastasia Zhiravetska
Keyword(s):  
Diesel Engine ◽  
Spectral Power ◽  
Angular Acceleration ◽  
Piston Compressor ◽  
Technical Condition ◽  
Electric Machine ◽  
Technical Diagnostics ◽  
Spectral Structure ◽  
Diagnostic Parameters

Abstract A method of technical diagnostics of ship diesel engine – generator installation – is proposed. Spectral-power diagnostic parameters of the synchronous generator voltage and currents are used. The electric machine in this case is the multipurpose sensor of diagnostic parameters. A judgment on the quality of the operational processes in diesel engine cylinders and its technical condition is possible on the basis of these parameters. This method is applicable to piston compressor installations with electric drive. On the basis of such parameters as rotating torque, angular speed and angular acceleration it is possible to estimate the quality of the operating process in the cylinders of a diesel engine, the condition of its cylinder-piston group and the crank gear mechanism. The investigation was realized on the basis of a diesel-generator with linear load. The generator operation was considered for the case of constant RL load. Together with the above mentioned, the condition of bearings of synchronous machines, uniformity of the air gap, windings of the electric machine were estimated during the experiments as well. The frequency spectrum of the stator current of the generator was researched and analyzed. In this case the synchronous machine is becoming a rather exact multipurpose diagnostic sensor. The signal of non-uniformity in the operation process of diesel engine cylinders and its technical condition is the increasing of the amplitudes of typical frequencies.

scholarly journals ANALYSIS OF OPTIMUM INTERVALS OF CHECKING THE OPERATING CONDITION OF FREQUENCY ROTATION REGULATORS

2017 ◽  
pp. 72-79
Author(s):  
Victor Ivanovich Kochergin
Keyword(s):  
Power Plants ◽  
Structural Parameters ◽  
Technical Condition ◽  
Discrete Control ◽  
Automatic Regulation ◽  
Continuous Control ◽  
Diagnostic Parameters ◽  
Monitoring Procedure ◽  
Design Values ◽  
State Of Power

The article shows the need of optimization of control in order to provide proper running characteristics and reduce costs of operational checks on the example of frequency rotation regulators of the marine power plants. Classification of the main failures of frequency rotation regulators has been given. For selecting diagnostic parameters under continuous or discrete control of operational condition there are used two techniques. The first technique is based on the assessment of efficiency of continuous control by the analysis of amount of specific probabilistic expenses. The second one implies choosing diagnostic parameters by means of priority of control over structural parameters of technical condition. Making the list of controlled parameters of operational state of power plants was based on the data on diesel engines reliability of Ч (ЧН) 15/18 family. Design values and non-constructive parameters were ranked in order to prevent emergency stop of the engine. According to the experts, characteristics of the fuel system and the system of automatic regulation of rotary speed are of top priority in the aspect of operational condition control. Results of calculations made using special software showed that the greater service frequency of the regulator, the greater total costs of monitoring procedure. The recommended service regularityfor a frequency rotation regulator is every 300 hours.

scholarly journals ANALYSIS OF STRUCTURE AND TECHNICAL CONDITION OF WESTERN ELECTRIC NETWORKS OF THE REPUBLIC OF SAKHA (YAKUTIA)

2019 ◽  
Vol 20 (11-12) ◽  
pp. 46-55
Author(s):  
N. S. Volotkovskaya ◽  
A. S. Semenov ◽  
O. V. Fedorov
Keyword(s):  
Mathematical Models ◽  
Geographical Location ◽  
Technical Condition ◽  
Electric Networks ◽  
Technical Indicators ◽  
Transmission Equipment ◽  
Fixed Assets ◽  
Network Equipment ◽  
The Republic ◽  
Western Electric

The paper analyzes the technical condition of the network equipment of Western electric networks of PJSC «Yakutskenergo» for the last 10 years. The geographical location of the networks of the electric networks is shown, which determines the scale of the study. Technical indicators in the interval of 10 years are presented, which testify to an increase in the volume of fixed assets of the enterprise. Mathematical models of the wear dynamics of the transmission equipment of the Western electric networks have been obtained. It is proved that the technical condition of the equipment will deteriorate further in the absence of appropriate financing.

scholarly journals Method for the diagnosis of high-voltage dielectric elements during operation based on dynamic registration of electromagnetic radiation

2020 ◽  
Vol 216 ◽  
pp. 01061
Author(s):  
Dmitry Ivanov ◽  
Tatyana Galieva ◽  
Marat Sadykov ◽  
Alexander Golenischev-Kutuzov ◽  
Anatoly Naumov
Keyword(s):  
High Voltage ◽  
Residual Life ◽  
Technical Condition ◽  
Time Of Arrival ◽  
Frequency Method ◽  
Diagnostic Parameters ◽  
Reliable Assessment ◽  
The Difference ◽  
The Moment

Complex remote monitoring and the developed non-contact diagnostic device (NDD) allow monitoring the technical condition and revealing the residual life of high-voltage dielectric elements. It is based on non-contact remote periodic measurement of a set of diagnostic parameters (characteristics of electrical discharges emitted by insulators during operation) necessary for a reliable assessment of the operating state of high-voltage dielectric equipment at the moment of operation and determination of its residual life. NDDs are installed on each phase conductor and used to measure diagnostic parameters, followed by computer processing of the accumulated information signals. An analysis of the set of necessary diagnostic parameters makes it possible to form a conclusion on the degree of performance of dielectric elements. The paper considers a method for detecting defective high-voltage insulators using the developed non-contact diagnostic devices by the radio frequency method and assessing the difference in time of arrival of a partial discharge signal.

Methodological Approaches to the Development of an Integral Criterion for Assessing the Condition of 6 kV Power Cables at the Industrial Enterprises

2020 ◽  
pp. 71-76
Author(s):  
F.Sh. Khafizov ◽  
◽  
Zh. da K. Novikova Freyre Shavier ◽  
Keyword(s):  
Electrical Equipment ◽  
Technical Condition ◽  
Actual Condition ◽  
Power Cable ◽  
Power Cables ◽  
Integral Criterion ◽  
Destructive Testing ◽  
Diagnostic Laboratory ◽  
Diagnostic Parameters ◽  
Industrial Enterprises

The problem of energy security of industrial enterprises is considered, which is directly related to the technical condition of 6 kV power cables with impregnated paper insulation. The conclusion is made about the need for a unified approach to the prevention of accidents caused by faults and cable defects. The task is to conduct a study and develop an integral criterion that allows identifying the current technical condition of 6 kV power cables. To carry out these studies, a special experimental setup was created in the diagnostic laboratory of the Ufa State Petroleum Technical University. The developed research method is based on the theory of non-destructive testing. Analysis of the research results based on the analysis of input and output signals of various frequencies, taking into account the characteristics of the power cable, confirmed the fact of changes in the measured values. This indicates the presence of damage and defects inside the cable. Diagnostic parameters were obtained during the research. The relationship between these parameters and the characteristic level of cable defects and damages is established. Using an artificial neural network, integral diagnostic parameters were formed, and an integral criterion was developed. The use of this criterion will allow to identify faults and defects in power cables and track the dynamics of their development, predict the residual resource of cables, and transfer them to maintenance according to their actual condition. All this will further increase the safety and efficiency of electrical equipment operation at the industrial enterprises.

The Method of Evaluation of the Resource of Complex Technical Objects, in Particular, Aviation

2020 ◽  
pp. 214-230
Author(s):  
Lyudmyla Kuzmych ◽  
Volodymyr Kvasnikov
Keyword(s):  
Residual Life ◽  
Control Object ◽  
Technical Condition ◽  
Actual State ◽  
Production Operation ◽  
Limit Values ◽  
Diagnostic Parameters ◽  
Design Production ◽  
Method Of Evaluation ◽  
Periodic Inspections

The method of estimating the resource of complex technical objects, in particular, aviation technique, is proposed, which includes the construction of a mathematical model of the object's functioning to determine its actual technical condition and residual resource for planning, design, production, operation, repairs, and modernization of aviation technique. To determine the actual state and estimate the residual life of structures, it is proposed to simultaneously evaluate several characteristics of the material of the object: the characteristic parameters of the structure of the material, integral parameters of the material, related to strength (for example, hardness), the presence and nature of macro defects, the degree of corrosion wear of the metal. Limit values of the selected diagnostic parameters are determined by available standards or technical conditions for objects. The dynamics of changes in diagnostic parameters can be monitored and modeled on the basis of the data of periodic inspections of the control object.

METHOD OF COMPREHENSIVE DATA ANALYSIS IN DIAGNOSTICS OF COMPLEX POWER EQUIPMENT

2021 ◽  
pp. 27-35
Author(s):  
Е.А. Абидова ◽  
А.Д. Данилов ◽  
А.Е. Дембицкий ◽  
А.В. Чернов
Keyword(s):  
Diesel Engine ◽  
Measurement Errors ◽  
Complex Analysis ◽  
Principal Component ◽  
Physical Nature ◽  
Technical Condition ◽  
Processing Scheme ◽  
Complete Control ◽  
Diagnostic Parameters ◽  
Initial Space

Предложен подход к диагностике сложного и габаритного оборудования на примере определения технического состояния дизельного двигателя. Отличительной особенностью дизельного двигателя является сложность конструкции, требующая применения комплекса методов для обеспечения полноты контроля и чувствительности при выявлении дефектов на ранних стадиях развития. Описана схема обработки данных, позволяющая повысить чувствительность при диагностике за счет комплексного анализа данных различной физической природы с использованием анализа сингулярного спектра. Повышение чувствительности обосновывается путем численного моделирования и обработки результатов измерения диагностических параметров в реальных производственных условиях. В качестве показателей чувствительности рассматриваются расстояния между координатами центров кластеров параметров исправного и неисправного состояния в исходном пространстве и в пространстве главных компонент. Продемонстрировано, что предлагаемый подход обеспечивает повышение чувствительности в условиях, когда влияние дефекта на диагностические параметры сопоставимо с действием случайных факторов в объекте диагностирования. Указанное повышение качества диагностирования достигается благодаря корреляции между параметрами за счет их представления в виде траекторных матриц. Помимо повышения чувствительности при выявлении дефектов также достигается и существенное сжатие информации, которая используется для определения состояния. Преимуществом предлагаемого подхода также является наглядная визуализация результатов The article suggests an approach to the diagnosis of complex and oversized equipment by the example of determining the technical condition of a diesel engine. A distinctive feature of the diesel engine is the complexity of the design, which requires the use of a set of methods to ensure complete control and sensitivity when detecting defects at early stages of development. We describe the data processing scheme, which allows you to increase the sensitivity in diagnostics due to the complex analysis of data of various physical nature using the principal component method. The increase in sensitivity is justified by numerical modeling and processing the results of measuring diagnostic parameters in real production conditions. Distances between coordinates of centers of clusters of parameters of serviceable and faulty state in initial space and in space of principal components are considered as indicators of sensitivity. We demonstrated that the proposed approach provides increased sensitivity in conditions where the effect of a defect on diagnostic parameters is comparable to measurement errors. The indicated improvement in the quality of diagnostics is achieved due to the correlation between the parameters due to their representation in the form of trajectory matrices. In addition to increasing sensitivity when detecting defects, significant compression of information that is used to determine the state is also achieved. The advantage of the proposed approach is also the vivid visualization of the results

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