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基于贝叶斯网络的变压器在线监测与分析系统设计
引用本文:仝兆景,时俊岭,高彩霞,张艳杰,赵运星.基于贝叶斯网络的变压器在线监测与分析系统设计[J].测控技术,2018,37(2):114-117.
作者姓名:仝兆景  时俊岭  高彩霞  张艳杰  赵运星
作者单位:河南理工大学电气工程与自动化学院,河南焦作,454000
基金项目:国家自然科学基金资助项目(U1504623);河南省高等学校控制工程学科重点开放实验室基金资助项目(KG2014-12); 河南省高等学校矿山信息化重点学科开放实验室开放课题基金资助项目(KY2015-07);国家安全监管总局2017安全生产重特大事故防治关键技术科技项目(Henan-0008-2017AQ)
摘    要:为提升对变压器运行监测水平,全面掌握其性能状况,提前发现故障隐患,在研究变压器各项参数监测的基础上,构建了变压器在线监测与分析系统.以研华PCI-1712数据采集卡为核心搭建系统硬件平台,构建了贝叶斯网络的性能分析模型,以LabVIEW设计算法和调用DLL库函数节点完成数据信号处理和系统分析、推理以及故障诊断报告的生成.仿真及实验表明,该系统能高效全面地监测变压器运行状态并做出状态分析、推理,功能丰富、易于扩展,具有广阔的应用前景.

关 键 词:虚拟仪器  故障分析  贝叶斯网络  在线监测  virtual  instrument  fault  analysis  Bayesian  network  on-line  monitoring

Design of Transformer On-Line Monitoring and Analysis System Based on Bayesian Networks
TONG Zhao-jing,SHI Jun-ling,GAO Cai-xia,ZHANG Yan-jie,ZHAO Yun-xing.Design of Transformer On-Line Monitoring and Analysis System Based on Bayesian Networks[J].Measurement & Control Technology,2018,37(2):114-117.
Authors:TONG Zhao-jing  SHI Jun-ling  GAO Cai-xia  ZHANG Yan-jie  ZHAO Yun-xing
Abstract:In order to improve the monitoring level of transformer operation,grasp its performance status,and find out faults related with state earlier,the transformer on-line monitoring and analysis system based on Bayesian networks is constructed by studying the monitoring technology of transformer various parameters.Advantech PCI-1712 data acquisition card is used as the core to build the system hardware platform,and the performance analysis model of Bayesian network is constructed.Data processing,system analysis,reasoning,and fault diagnosis report generation are completed by LabVIEW design algorithm and calling DLL library function node.Simulation and experiment results show that the system can not only monitor the operation state of transformer efficiently and comprehensively,but also analyze and reason the operation state.The system has the advantages of feature-rich and is easy to be extended,which has broad application prospects.
Keywords:virtual instrument  fault analysis  Bayesian network  on-line monitoring
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