<?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">EPTSM</journal-id><journal-title-group><journal-title>Electric Power Technology and Safety Management</journal-title></journal-title-group><issn>2997-3473</issn><eissn>2997-3503</eissn><publisher><publisher-name>Art and Technology</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/EPTSM.2025050005</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>汽轮机设备故障诊断与预防探讨</title><url>https://artdesignp.com/journal/EPTSM/2/5/10.61369/EPTSM.2025050005</url><author>胡晓江,苏阳,潘杭,金仲超</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>2</volume><issue>5</issue><history><date date-type="pub"><published-time>2025-05-20</published-time></date></history><abstract>汽轮机作为电力、化工等领域的核心动力设备，其运行稳定性直接影响生产系统的安全与效率。本文针对汽轮机常见的振动异常、油系统故障、叶片损伤等问题，系统分析故障产生的机理与诊断方法，从状态监测、数据解析、预防策略三个维度构建&amp;ldquo; 诊断- 预警- 维护&amp;rdquo;一体化管理体系。通过融合振动分析、油液检测、红外热成像等技术手段，为提升汽轮机设备可靠性提供实践参考。</abstract><keywords>汽轮机,故障诊断,状态监测,预防维护,设备可靠性</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] 王勇. 大型汽轮机振动故障诊断与处理技术[M]. 北京：中国电力出版社，2020.[2] 张伟, 李明. 汽轮机油系统故障分析及预防措施[J]. 热力发电，2021,50(3):120-125.[3] 刘军, 赵刚.300MW 汽轮机叶片故障诊断与寿命评估[J]. 动力工程学报，2020,40(5):356-361.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
