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火电厂重要辅机状态检测与故障诊断应用研究

Application Research on Condition Detection and Fault Diagnosis of Important Auxiliary Equipment in Thermal Power Plant
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摘要 运用智能传感技术、先进的PeakVue峰值故障诊断技术、工业物联网技术和无线HART技术,可实现火电厂重要辅机设备早期预警和故障预诊断,完善智能点巡检工作,保证电厂安全可靠运行,减员增效,提高运营效率。 Intelligent sensor technology,advanced peakvue peak fault diagnosis technology and industrial Internet of things wireless Hart technology are used to realize early warning and fault pre diagnosis of important auxiliary equipment in thermal power plant,improve intelligent point inspection work,ensure safe and reliable operation of power plant,reduce personnel and increase efficiency,and improve operation efficiency.
作者 李染生 范晓英 吉力特 Li Ran-sheng;Fan Xiao-ying;Gi Li-te
出处 《电力系统装备》 2019年第24期96-97,共2页 Electric Power System Equipment
关键词 状态检修 PeakVue峰值检测技术 预测性诊断维护 工业物联网无线HART技术 state maintenance peakvue peak detection technology predictive diagnosis and maintenance industrial Internet of things wireless Hart Technology
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