دسته بندی:

شبکه های عصبی - Neural Networks

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سال انتشار:

2021

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عنوان انگلیسی مقاله:

Information and Measurement System for Electric Power Losses Accounting in Railway Transport

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ترجمه فارسی عنوان مقاله:

اطلاعات و سیستم اندازه گیری برای حسابداری تلفات برق در حمل و نقل ریلی

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منبع:

ScienceDirect- Elsevier- Transportation Research Procedia 54 (2021) 552–558

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نویسنده:

Dmitry Frantasova,*, Yuliya Kudryashovaa

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چکیده انگلیسی:

The purpose of the presented research is to minimize the loss of electricity during the operation of railway power systems. Losses are defined as an unbalance between the released and consumed electricity, which is recorded by means of commercial electricity ccounting. Given that electricity losses are divided into technical and non-technical (commercial) components, there are currently no technical tools that can analyze the components of electricity losses in detail, and therefore prevent their occurrence. To achieve this goal, the factors inherent in commercial electricity accounting systems in various areas of production activity that affect the growth of electricity losses are identified. An algorithm is proposed that allows determining the presence of abnormal power losses in real time for making organizational and technical decisions to reduce them. A block diagram of the information and measurement system for accounting of power losses has been developed, which allows using the existing equipment without replacement or modernization, which allows obtaining new technical capabilities. The method of intellectualization of the process of classification of factors that cause the growth of abnormal power losses, based on artificial neural networks, is posed. The intelligent module allows replacing the person who makes organizational and technical decisions, minimizing the consequences of abnormal situations that lead to the growth of abnormal losses, applying the proposed solutions in departments that do not have qualified specialists. The results of training an artificial neural network are considered, and the main parameters of the efficiency of the information and measurement system for loss accounting on a real railway transport object are determined.
Keywords: Power Loss | Artificial Neural Networks.

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قیمت: رایگان

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توضیحات اضافی:

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