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某舰用变压器在线监测与故障诊断系统研究 被引量:7

Study of on-line monitoring and fault diagnosis system for a naval transformer
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摘要 [目的]舰船变压器是大型舰船综合电力系统安全、稳定、可靠运行的关键,故应避免出现严重故障。[方法]基于高级精简指令集计算机(ARM),构建变压器状态在线监测与故障诊断系统。通过抗干扰和数据处理,用以保证实时、可靠、准确地获取运行状态数据;通过诊断系统数据分析,以准确预测和判断故障类型并报警,从而保证系统及时动作以防止故障扩大化;通过屏幕化显示,用以提高调度员对变压器运行状态的准确把握能力。[结果]Multisim仿真建模分析与现场运行测试结果表明:该系统可以准确采集变压器的运行状态数据,判断故障类型,并实时反馈给集控中心,从而制定合理的控制策略和规划调度方案,保证舰船综合电力系统正常工作。[结论]研究成果可为舰用变压器在线监测与故障诊断提供参考。 [Objectives]The ship transformer is the key to the safe,stable and reliable operation of a large ship integrated power system,so serious faults must be avoided.[Methods]Based on the Advanced RISC Machine(ARM),a transformer status online monitoring and fault diagnosis system was constructed. Anti-interference and data processing are used to ensure real-time,reliable and accurate acquisition of operational status data. Diagnostic system data analysis is used to accurately predict and identify fault types and trigger alarm,thereby ensuring timely action of the system to prevent faults from spread. Screen display is used to improve the dispatcher's ability to accurately grasp the operating status of the transformer.[Results] Multisim simulation modeling analysis and field operation test results show that the system can accurately collect the operating status data of the transformer,determine the type of transformer fault,and feedback it to the centralized control center in real time to formulate a reasonable control strategy and planning and scheduling scheme,thereby ensuring the normal operation of the ship integrated power system.[Conclusions]The research results can provide reference for on-line monitoring and fault diagnosis of ship transformers.
作者 康兴 李维波 余万祥 徐聪 何凯彦 Kang Xing;Li Weibo;Yu Wanxiang;Xu Cong;He Kaiyan(School of Automation,Wuhan University of Technology,Wuhan 430070,China)
出处 《中国舰船研究》 CSCD 北大核心 2019年第4期147-154,共8页 Chinese Journal of Ship Research
基金 国家部委基金资助项目(嵌入式低压电站控制软件研制及测试、舰船电力系统在线风险评估方法研究以及舰船通信系统可靠性设计技术研究)
关键词 综合电力系统 在线监测 专家系统 故障诊断 MULTISIM integrated power system on-line monitoring expert system fault diagnosis Multisim
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