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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v10i4.14892</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Characteristic Frequency Injection Technology for Secondary Cables in Substation Renovation Projects</title><url>https://artdesignp.com/journal/JERA/10/4/10.26689/jera.v10i4.14892</url><author>LiZhengjun,FangJiancheng,SunDianlong,ZhangJinghan</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>10</volume><issue>4</issue><history><date date-type="pub"><published-time>2026-05-21</published-time></date></history><abstract>This paper investigates key technologies for reliable electrical monitoring in complex power environments. Core techniques include anti-electromagnetic interference sensing, multi-source signal isolation and filtering, characteristic signal injection with non-contact identification, multi-channel real-time data acquisition, and rapid fault recognition with protection interruption. Experimental analysis demonstrates stable monitoring performance and effective fault detection under electromagnetic disturbance conditions.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Li J, Zhang J, Xiong Q, et al., 2025, A Method for Grounding Fault Line Selection in Distribution Networks Using Phase Similarity of Characteristic Frequency Currents. Journal of Xi’an Jiaotong University, 59(4): 81–92.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Li Z, Qiao W, Tan Z, et al., 2021, A Fault Location Method for Hybrid Lines in Distribution Networks Based on Traveling Wave Characteristic Frequencies. Power System and Clean Energy, 37(5): 33–42+51.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Gen L, Jie C, Hongze L, et al., 2022, Diagnosis and Location of Power Cable Faults Based on Characteristic Frequencies of Impedance Spectroscopy. Energies, 15(15): 5617.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Patent Application: “Cable System Problem Detection via Characteristic Frequency”, USPTO 20160154050, 2016.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Studies from Tongji University Add New Findings in the Area of Mechanical Engineering. Journal of Engineering, 2016, 142(4).</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
