<?xml version="1.1" encoding="utf-8"?>
<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.v9i6.13178</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Application and Research of Electrical Fault Diagnosis and Operation and Maintenance Technology in Mechanical and Electrical Engineering of Property Services</title><url>https://artdesignp.com/journal/JERA/9/6/10.26689/jera.v9i6.13178</url><author>ZhouRunfeng</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>6</issue><history><date date-type="pub"><published-time>2025-12-16</published-time></date></history><abstract>This paper focuses on electrical fault diagnosis and operation and maintenance technology in property service electromechanical engineering. It details core diagnostic methods, application-oriented tools, predictive maintenance frameworks, and enhanced maintenance planning. It also explores wireless sensor networks, big data analytics, and design-phase applications. Case studies in construction and operation phases are presented. Challenges like legacy system retrofitting are noted, and future potential in quantum sensing and edge AI is discussed.</abstract><keywords/></article-meta></front><body/><back><ref-list/></back></article>
