Graph model-based analysis of technical systems

Pokorádi, László

doi:10.1088/1757-899x/393/1/012007

Cited by 10 publications

(9 citation statements)

References 11 publications

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“…These consumer numbers were sorted in reverse order, in such a way that the failure that affected the most consumers was put into the first record of the data table. After this, the appearances of each consumer number were summarized [31][32][33]. The summary provided the result that, e.g., two-consumer-affected, SSB positive failure cases (i.e., the failure could have been eliminated by SSB) were altogether 2812, three-consumer-affected were 856, etc.…”

Section: Establish Of C-cdn Data Tablementioning

confidence: 99%

Management of Smart Switchboard Placement to Enhance Distribution System Reliability

et al. 2020

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One way of handling short-time short-circuits without causing equipment failure is the management of the reclose function integrated into smart switchboard which is described in this article. Due to the cost of the application, the optimal placement of such equipment must be well-planned. During the planning of the placement optimization of a low-voltage electricity network quality, the increase of the consumer supply security must be considered along with the best economic utilization. The research presented in this article aims to introduce a new special decision support methodology calculated with these variables. The management of smart switchboard (SSB) tool installation into low voltage (LV) network was investigated. The selection of the placement nodes is based on the complex investigation of the network characteristics. Investigation is performed by empiric analysis. This method can support the power companies to make the optimal decision. The presented new device can have outstanding importance for the electric industry and for further research as no testing results of such investigations have been published yet. 101 Narimani et al. [20] provides a framework for the allocation of a central electricity storage facility 102 (EES) in discrete communities, which is created as segmentation along rural energy supplies where 103 the installation of cross connectors is not economical or even feasible. Modeling of the impact of 104 automation failure on distribution system reliability is presented in paper [21]. Reinders [22] focuses 105 on the reliability of electricity supply at three different locations in Indonesia by comparing reported 106 energy reliability indices (SAIFI and SAIDI). A common FLISR approach is to use error indicator (FI) 107 signals with distribution network states [23].108 2. The Smart Switchboard 109 The smart switchboard (SSB) developed by AD&TE is a low voltage distribution switchboard 110 which, under the described maintenance and operational circumstances during its entire life cycle 111 and without the partial or total change of the equipment, interrupts the overcurrent or the short-112 circuit current up to the value defined by the manufacturer, compliant to the applicable standards.113 The SSB detects the overcurrent with the combined usage of the local measure-and evaluation system 114 [24]. The operation happens according to the predefined current-time curve. The equipment is 115 remote, thus the existence of tension (yes/no) at each measuring point, the effective and inefficient 116 current components, the tension and the calculated performance data based on tension-with the 117 application of the security protocols in the related standards-is forwarded to a centre by using 118 wireless communication. The SSB can be operated remotely, accordingly, it is suitable for performing 119 remote switching operations. In order to the secure feasibility of the planned tasks the remote 120 operation can be blocked in-site and has visible breakdown point and earthing possibility. The 121 eq...

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Section: Establish Of C-cdn Data Tablementioning

confidence: 99%

Management of Smart Switchboard Placement to Enhance Distribution System Reliability

et al. 2020

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“…2 shows a block diagram of the wind power plant's structure in the developed expert system. Diagnostic tests on technical equipment are based on functional -diagnostic models for those objects [8][9][10][11][12][13][14][15][16]19]. Thus, a functional -diagnostic model of the wind power plant (see Fig.…”

Section: Structure Of Facts In the Expert Knowledge Base For Wind Powmentioning

confidence: 99%

“…Their works considerably help to practically solve those problems when creating expert knowledge, including its application in diagnostics or operation of technical equipment. There should be also considered works by F. Hayer-Roth, D. Waterman and others in this issue since their works [4,5,[14][15][16][17][18][19] cover mathematical background in terms of development and organization of expert systems, including rules for creation of expert knowledge bases, creation of conclusion rules and means of their analyses (look through and sort out).…”

Section: Introductionmentioning

confidence: 99%

“…The papers by (L. Będkowski, T. Dąbrowski, A. Rosiński and L. Pokoradi, [1,[16][17][18] presents the theoretical background of the reliability of technical devices in the operation process. The author presented mathematical basis of the policy rules of the organization of repairs (replacement of components (constructional elements)) of devices.…”

Section: Introductionmentioning

confidence: 99%

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Creating of structure of facts for the knowledge base of an expert system for wind power plant's equipment diagnosis

Duer

Wrzesień²,

Duer

2017

E3S Web Conf.

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Abstract. This article describes rules and conditions for making a structure (a set) of facts for an expert knowledge base of the intelligent system to diagnose Wind Power Plants' equipment. Considering particular operational conditions of a technical object, that is a set of Wind Power Plant's equipment, this is a significant issue. A structural model of Wind Power Plant's equipment is developed. Based on that, a functional -diagnostic model of Wind Power Plant's equipment is elaborated. That model is a basis for determining primary elements of the object structure, as well as for interpreting a set of diagnostic signals and their reference signals. The key content of this paper is a description of rules for building of facts on the basis of developed analytical dependence. According to facts, their dependence is described by rules for transferring of a set of pieces of diagnostic information into a specific set of facts. The article consists of four chapters that concern particular issues on the subject.

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“…On, the other hand, it can be stated that complexity is extremely high [16,28,29,30] either when assessing the entirety of effects of road traffic on a single vehicle, or only the information [1] to be processed by the driver or the autopilot. Similarly, the system is very complex if we consider only the surface traffic processes as a whole over a large-scale network [21,22,23,24,25]. The reality is, however, much more complex, since the above elements form a single large-scale dynamic system during their operation and are in constant interaction with each other.…”

Section: Introductionmentioning

confidence: 99%

Vehicle Dynamic-based Approach for the Optimization of Traffic Parameters of the Intelligent Driver Model (IDM) and for the Support of Autonomous Vehicles’ Driving Ability

2019

APH

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The research identifies the dynamical parameters in the area of mechanics within the base of traffic model parameters used by the Intelligent Driver Model (IDM), which are the highest acceleration parameters set by the vehicle, the desired speed parameters of the vehicle and the distance-keeping parameters of the vehicle. All this facilitates the automatic control of autonomous electric vehicles in certain vehicle groups.

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Graph model-based analysis of technical systems

Cited by 10 publications

References 11 publications

Management of Smart Switchboard Placement to Enhance Distribution System Reliability

Management of Smart Switchboard Placement to Enhance Distribution System Reliability

Creating of structure of facts for the knowledge base of an expert system for wind power plant's equipment diagnosis

Vehicle Dynamic-based Approach for the Optimization of Traffic Parameters of the Intelligent Driver Model (IDM) and for the Support of Autonomous Vehicles’ Driving Ability

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