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    <journal-meta>
      <journal-id journal-id-type="ojs">JDF</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">Journal of Digital Frontier</journal-title>
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      <publisher>
        <publisher-name>Digital Intelligence Press</publisher-name>
        <publisher-loc>
          <country>HK</country>
          <uri>https://dipscie.com/index.php/JDF/index</uri>
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      <issn pub-type="epub">3135-7695</issn>
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      <article-id pub-id-type="publisher-id">30</article-id>
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          <subject>Articles</subject>
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      <title-group>
        <article-title xml:lang="en">&lt;bold&gt;Power Transformer Fault Diagnosis and Prediction Based on Deep Learning&lt;/bold&gt;</article-title>
      </title-group>
      <contrib-group content-type="author">
        <contrib corresp="yes">
          <name-alternatives>
            <name name-style="western" specific-use="primary">
              <surname>You</surname>
              <given-names>Haoyu</given-names>
            </name>
          </name-alternatives>
          <email>19953322591@163.com</email>
          <xref ref-type="aff" rid="aff-1"/>
        </contrib>
        <contrib>
          <name-alternatives>
            <name name-style="western" specific-use="primary">
              <surname>Hua</surname>
              <given-names>Longtai</given-names>
            </name>
          </name-alternatives>
          <email>longtaihua5@gmail.com</email>
        </contrib>
        <contrib>
          <name-alternatives>
            <name name-style="western" specific-use="primary">
              <surname>Su</surname>
              <given-names>Tianyi</given-names>
            </name>
          </name-alternatives>
          <email>2396287972@qq.com</email>
        </contrib>
      </contrib-group>
      <aff id="aff-1">
        <institution content-type="orgname">Department of Electrical and Information Engineering, Shandong University of Science and Technology, Jinan, Shandong, China</institution>
      </aff>
      <pub-date date-type="pub" publication-format="epub">
        <day>22</day>
        <month>08</month>
        <year>2026</year>
      </pub-date>
      <fpage>144</fpage>
      <lpage>184</lpage>
      <pub-history>
        <event event-type="received">
          <event-desc>Received: <date date-type="received" iso-8601-date="2026-05-31T07:40:09+00:00"><day>31</day><month>5</month><year>2026</year></date></event-desc>
        </event>
      </pub-history>
      <permissions>
        <copyright-statement>Copyright (c) 2026 Haoyu You, Longtai Hua, Tianyi Su (Author)</copyright-statement>
        <copyright-year>2026</copyright-year>
        <copyright-holder>Haoyu You, Longtai Hua, Tianyi Su (Author)</copyright-holder>
        <license xlink:href="https://creativecommons.org/licenses/by/4.0">
          <license-p>&lt;a rel="license" href="https://creativecommons.org/licenses/by/4.0/"&gt;&lt;img alt="Creative Commons License" src="//i.creativecommons.org/l/by/4.0/88x31.png" /&gt;&lt;/a&gt;&lt;p&gt;This work is licensed under a &lt;a rel="license" href="https://creativecommons.org/licenses/by/4.0/"&gt;Creative Commons Attribution 4.0 International License&lt;/a&gt;.&lt;/p&gt;</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="https://dipscie.com/index.php/JDF/article/view/10.67541_jdf2606"/>
      <kwd-group xml:lang="en">
        <kwd>Power transformer; Fault diagnosis; Remaining life prediction; Generative adversarial network; Temporal convolutional network</kwd>
      </kwd-group>
      <counts>
        <page-count count="41"/>
      </counts>
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  </front>
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