Intelligent Decision Support Systems

Kaklauskas, Artūras

doi:10.1007/978-3-319-13659-2_2

Cited by 21 publications

(5 citation statements)

References 177 publications

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“…By comparing the data in their input, and processing by combining the data, it is possible to obtain results that enable the recognition of the conditions of the transformer operation according to the parameters that had been taken into account [17]. In some condition, assessment methods can be confirmed or automated with the use of electronic performance support systems such as statistics based systems, expert systems, and algorithms [18].…”

Section: Failure Analysis In a Power System And Assessment Methodsmentioning

confidence: 99%

Condition assessment of power transformers status based on moisture level using fuzzy logic techniques

Rexhepi

Nakov

2018

J. Mechatron. Electr. Power Veh. Technol.

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Power transformers are one of the most expensive components; therefore the focus on their status and its continuous operation is the primary task. In the power systems, condition assessment of performance and reliability is based on the state of components, measurements, testing, and maintenance as well as their diagnosis. Hence, condition assessment of power transformer parameters is important regarding their status and finding incipient failures. Among many factors, the most factors that affect the safe operation and life expectancy of the transformer is the moisture in oil. It is known that the low moisture oil in power transformers causes many problems including electrical breakdown, increase the amount of partial discharge, decreases the dielectric withstand strength and other phenomena. Thus, knowledge about the moisture concentration in a power transformer is significantly important for safe operation and lifespan. In this study, moisture level in oil is estimated, and its status classification is proposed by using fuzzy logic techniques for the power transformer monitoring and condition assessment. Moreover, the goal of the study is to find methods and techniques for the condition assessment of power transformers status based on the state of moisture in oil using the fuzzy logic technique. These applied techniques increase the power system reliability, help to reduce incipient failures and give the better maintenance plan using an algorithm based on logic rules. Also, by using the fuzzy logic techniques, it is easier to prevent failures which may have consequences not only for transformers but also for the power system as a whole.

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Section: Failure Analysis In a Power System And Assessment Methodsmentioning

confidence: 99%

Condition assessment of power transformers status based on moisture level using fuzzy logic techniques

Rexhepi

Nakov

2018

J. Mechatron. Electr. Power Veh. Technol.

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“…It should note that modern IDSS is based on the use of specialized information storage (Data Warehouse) and OLAP (On-Line Analytical Processing) technologies -operational data analysis. The main purpose of OLAP technologies is dynamic multidimensional data analysis using an effective Data mining tool, modeling and forecasting [8][9][10].…”

Section: Literature Reviewmentioning

confidence: 99%

Intelligent decision support systems in the development of megalopolis infrastructure

Trofymchuk

Стенин

Soldatova

et al. 2022

SRIT

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From the point of view of the management theory, a megapolis is a complex non-stationary spatial system. The problem of making innovative decisions on the development of their infrastructure is caused by the presence of a large amount of information, its uncertainty and inconsistency. This article discusses the principles of building intelligent decision support systems of a situational type for the innovative development of the infrastructure of megacities. Solutions are formed by logico-analytical processing of data on the situation in general and special cases of situations for the considered subject of the megalopolis infrastructure. For the practical implementation of the decision-making mechanism, the article proposes a linguistic-numerical method for determining the potentially best alternative and a fuzzy situational algorithm for managing the subjects of the megalopolis infrastructure, based on the structural generality of the situations of a fuzzy situational network. The obtained results were tested on two real infrastructure subjects of Kyiv.

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“…Fuzzy logic enables the representation of uncertainty by allowing an input between 0 and 1, instead of the binary system of either 0 or 1. Thus, by applying fuzzy logic to intelligent decision support systems (including domain knowledge, modeling, and analysis systems) [48], decision support is extended by permitting the variables in the decision problem [49].…”

Section: Autonomy In Engineeringmentioning

confidence: 99%

Integrations between Autonomous Systems and Modern Computing Techniques: A Mini Review

Chen

Abbod

Shieh

2019

Sensors

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The emulation of human behavior for autonomous problem solving has been an interdisciplinary field of research. Generally, classical control systems are used for static environments, where external disturbances and changes in internal parameters can be fully modulated before or neglected during operation. However, classical control systems are inadequate at addressing environmental uncertainty. By contrast, autonomous systems, which were first studied in the field of control systems, can be applied in an unknown environment. This paper summarizes the state of the art autonomous systems by first discussing the definition, modeling, and system structure of autonomous systems and then providing a perspective on how autonomous systems can be integrated with advanced resources (e.g., the Internet of Things, big data, Over-the-Air, and federated learning). Finally, what comes after reaching full autonomy is briefly discussed.

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Intelligent Decision Support Systems

Cited by 21 publications

References 177 publications

Condition assessment of power transformers status based on moisture level using fuzzy logic techniques

Condition assessment of power transformers status based on moisture level using fuzzy logic techniques

Intelligent decision support systems in the development of megalopolis infrastructure

Integrations between Autonomous Systems and Modern Computing Techniques: A Mini Review

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