Taking decisions in the expert intelligent system to support maintenance of a technical object on the basis information from an artificial neural network

Duer, Stanisław; Zajkowski, K.

doi:10.1007/s00521-012-1169-x

Cited by 22 publications

(10 citation statements)

References 15 publications

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“…The object's state is determined on the basis of an examination of the set of output (diagnostic) signals {X(e i,j )}(Tab 1) [4,5,7,9]. The set of its functional elements {e i,j } determined during a diagnostic study of the object constitutes the basis for the list included in the table of a set of diagnostic signals (Table 1).…”

Section: The Intelligent Diagnostic System Of the Technical Objectmentioning

confidence: 99%

“…The set of its functional elements {e i,j } determined during a diagnostic study of the object constitutes the basis for the list included in the table of a set of diagnostic signals (Table 1). The realization of the task of a comparison of the image of the diagnostic signal with the image of its standard (nominal) signal is the purpose of the neural network in that is used in the diagnostic system [4,7]. For this purpose, it is useful to present the images of the diagnostic signals compared in a vector form.…”

Section: The Intelligent Diagnostic System Of the Technical Objectmentioning

confidence: 99%

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Taking decisions in the diagnostic intelligent systems on the basis information from an artificial neural network

et al. 2018

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Abstract. This paper presents a method to control an operation process of a complex technical object, with the use of trivalent diagnostic information. Also, a general diagram of the complex technical object was presented, and its internal structure was described. A diagnostic analysis was conducted, as a result of which sets of the functional elements of the object and its diagnostic signals were determined. Also, the methodology of the diagnostic examination of the technical system was presented. The result was a functional and diagnostic model, which constituted the basis for initial diagnostic information, which is provided by the sets of information concerning the elements of the basic modules and their output signals. The theoretical results obtained in the present study were verified in practice on the example of a complex and reparable technical object. It belongs to the group of technical equipment for which a short time of shutdowns is required (an ineffective use of the object).

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Section: The Intelligent Diagnostic System Of the Technical Objectmentioning

confidence: 99%

Section: The Intelligent Diagnostic System Of the Technical Objectmentioning

confidence: 99%

Taking decisions in the diagnostic intelligent systems on the basis information from an artificial neural network

et al. 2018

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“…The transmission line can be described with impedance R + jX. This approach was presented by the authors in the following positions: [8][9][10][11][12][13]. The active power P is absorbed by the receiver (Fig.…”

Section: Transmission Line Sectionmentioning

confidence: 99%

Settlement of reactive power compensation in the light of white certificates

Zajkowski

2017

E3S Web Conf.

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Abstract. The article discusses the problem of the determination of savings on active energy as a result of a reactive power compensation. Statutory guidance on the required energy audit to obtain white certificates in the European Union was followed. The analysis was made on the basis of the Polish Law. The paper presents a detailed analytical method and an estimation method taking into account the impact on the line, the transformer and the generator. According to the relevant guidelines in the European Union, the reduction of CO 2 emissions by calculating the saving of active power should be determined.The detailed method and an estimation method proposed for the determination of savings on active energy as a result of the reactive power compensation carried out possess some errors and inconvenience. The detailed method requires knowledge of the network topology and a determination of reactive power Q at each point of the network. The estimation method of analysis is easy in execution, especially if the consumer of energy is the main or the most significant purchaser of electricity in the network. Unfortunately, this latter method can be used only for activities that do not require high computational accuracy. The results obtained by this method are approximate values that can be used for the calculation of economic indicators. The estimation method is suitable for determining the number of white certificates when a power audit concerns a recipient of electricity, the structure of which is a large number of divisions scattered at many different locations in the power system.

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“…Each rule included in this table determines explicitly which element of a given assembly of the object must be subject to regeneration, and what range of prevention activities (from the set of the activities) is to be performed on it. The execution of the determined set of maintenance rules will result in the regeneration of the whole element, assembly and the whole object [1][2][3][8][9][10][11][12]. The technical object, once the maintenance has been performed, is subject to a control check-up (testing) of the state, and in the case of a negative result of the control, the object is once again referred to prevention.…”

Section: Introductionmentioning

confidence: 99%

Analyses of the method development of decisions in an expert system with the use of information from an artificial neural network

et al. 2018

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Abstract. The present article covers the use of an artificial intelligence system in the organization of the prevention of technical objects. For this purpose, the composition of this system including an intelligent diagnostic system and an intelligent maintenance system was characterized and described. An artificial neural network and an expert system, which work among others on the basis of the information developed by the neural network, perform a special function in these systems. It was mentioned in the article that the mathematical model of the regeneration process of the functional properties (prevention) of an object forms the basis of the organization of the prevention activities of technical devices and objects with the use of intelligent systems. This model demonstrated the possibilities and directions for the use of maintenance intelligent systems.

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Taking decisions in the expert intelligent system to support maintenance of a technical object on the basis information from an artificial neural network

Cited by 22 publications

References 15 publications

Taking decisions in the diagnostic intelligent systems on the basis information from an artificial neural network

Taking decisions in the diagnostic intelligent systems on the basis information from an artificial neural network

Settlement of reactive power compensation in the light of white certificates

Analyses of the method development of decisions in an expert system with the use of information from an artificial neural network

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