Evolution of transformer health index in the form of mathematical equation.

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Title: Evolution of transformer health index in the form of mathematical equation.
Authors: Azmi, A.1, Jasni, J.1 jas@upm.edu.my, Azis, N.1, Kadir, M.Z.A. Ab.1
Source: Renewable & Sustainable Energy Reviews. Sep2017, Vol. 76, p687-700. 14p.
Subject Terms: *Energy consumption, *Electric power production, Electric transformers, Mathematical analysis, Asset management
Abstract: Energy is a basic necessity in every country. The worldwide demand for energy will rise due to the developments of power generation in industrial, service, and residential sectors. A healthy power system is therefore very important to guarantee continuous electricity supply to the end users and this can be achieved through asset management. A proper asset management will allow asset managers to conduct quality assessment of conditions and to develop future management strategies of the electrical assets such as transformers. The execution of transformer asset management involves an investigation of the transformer's condition by employing Transformer's Health Index (THI). Mathematical equation/algorithm or expert judgment has been investigated by many previous studies as one of the technique to determine health index (HI). Some of the established methods of HI determination such as scoring and ranking method, tier method, matrices and multi-feature assessment model have led to the different interpretations of the final condition of a transformer. This paper critically examines and explores the previous studies related to transformer health index by using mathematical equation/algorithm or expert judgment. The concept of HI and its formulation are presented in this study. Generally, there are three parts of HI formulation which are input, algorithm for HI and the output of HI. The application of HI is discussed in terms of the performance of in-service transformer. The limitations of the available methods are also discussed and future works to overcome the problems are suggested. [ABSTRACT FROM AUTHOR]
Copyright of Renewable & Sustainable Energy Reviews is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Evolution of transformer health index in the form of mathematical equation.
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  Data: <searchLink fieldCode="AR" term="%22Azmi%2C+A%2E%22">Azmi, A.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Jasni%2C+J%2E%22">Jasni, J.</searchLink><relatesTo>1</relatesTo><i> jas@upm.edu.my</i><br /><searchLink fieldCode="AR" term="%22Azis%2C+N%2E%22">Azis, N.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kadir%2C+M%2EZ%2EA%2E+Ab%2E%22">Kadir, M.Z.A. Ab.</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Renewable+%26+Sustainable+Energy+Reviews%22">Renewable & Sustainable Energy Reviews</searchLink>. Sep2017, Vol. 76, p687-700. 14p.
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  Data: *<searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+power+production%22">Electric power production</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+transformers%22">Electric transformers</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+analysis%22">Mathematical analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Asset+management%22">Asset management</searchLink>
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  Label: Abstract
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  Data: Energy is a basic necessity in every country. The worldwide demand for energy will rise due to the developments of power generation in industrial, service, and residential sectors. A healthy power system is therefore very important to guarantee continuous electricity supply to the end users and this can be achieved through asset management. A proper asset management will allow asset managers to conduct quality assessment of conditions and to develop future management strategies of the electrical assets such as transformers. The execution of transformer asset management involves an investigation of the transformer's condition by employing Transformer's Health Index (THI). Mathematical equation/algorithm or expert judgment has been investigated by many previous studies as one of the technique to determine health index (HI). Some of the established methods of HI determination such as scoring and ranking method, tier method, matrices and multi-feature assessment model have led to the different interpretations of the final condition of a transformer. This paper critically examines and explores the previous studies related to transformer health index by using mathematical equation/algorithm or expert judgment. The concept of HI and its formulation are presented in this study. Generally, there are three parts of HI formulation which are input, algorithm for HI and the output of HI. The application of HI is discussed in terms of the performance of in-service transformer. The limitations of the available methods are also discussed and future works to overcome the problems are suggested. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Renewable & Sustainable Energy Reviews is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.rser.2017.03.094
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 14
        StartPage: 687
    Subjects:
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Electric power production
        Type: general
      – SubjectFull: Electric transformers
        Type: general
      – SubjectFull: Mathematical analysis
        Type: general
      – SubjectFull: Asset management
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      – TitleFull: Evolution of transformer health index in the form of mathematical equation.
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            NameFull: Jasni, J.
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            NameFull: Azis, N.
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            NameFull: Kadir, M.Z.A. Ab.
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            – D: 01
              M: 09
              Text: Sep2017
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              Y: 2017
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              Value: 76
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