Transformer health index estimation using artificial neural network

机译：基于人工神经网络的变压器健康指标评估

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Health Index is a practical tool that determines the priorities for investment, field studies, combining the results of field and laboratory tests represents for asset management, capital and maintenance plans, operating observations. In this study, transformer health index predicted using artificial neural network and test results of various types of transformers. The main purpose of this study is to develop a reliable health index for transformers. The suggested transformer health index calculation method will allow optimum transformer life prediction and assess the transformer health. The results show that the comparison between the actual transformer health index and the estimated one based on real time data is acceptable around 80% similarity rate.

机译：健康指数是一种实用工具，可确定投资，现场研究的优先级，结合代表资产管理，资本和维护计划，运营观察的现场测试结果和实验室测试结果。在这项研究中，使用人工神经网络预测了变压器的健康指数，并测试了各种类型的变压器的测试结果。这项研究的主要目的是为变压器建立可靠的健康指标。建议的变压器健康指数计算方法将可以最佳地预测变压器寿命，并评估变压器的健康状况。结果表明，实际变压器健康指数与基于实时数据估算的变压器健康指数之间的比较在80％的相似率附近是可以接受的。

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来源
《2016 National Conference on Electrical, Electronics and Biomedical Engineering》|2016年|1-5|共5页
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作者
Kübra Nur Birlik; Okan Ozgonenel; Serap Karagül;
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作者单位

Elektrik ve Elektronik Mühendisliği, Ondokuz Mayis Üniversitesi;

Elektrik ve Elektronik Mühendisliği, Ondokuz Mayis Üniversitesi;

Elektrik ve Elektronik Mühendisliği, Ondokuz Mayis Üniversitesi;

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原文格式 PDF
正文语种 eng
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关键词
Indexes; Silicon; Mathematical model; Artificial neural networks; Nanoelectromechanical systems; IEC Standards; Estimation;

机译：指标;硅;数学模型;人工神经网络;纳米机电系统; IEC标准;估计;

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Transformer health index estimation using artificial neural network

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