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作 者:何苗忠 王丰华[1] 钱国超[2] 颜冰[2] 卢勇[2]
机构地区:[1]电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市200240 [2]云南电网有限责任公司电力科学研究院,云南省昆明市650217
出 处:《电力系统自动化》2017年第1期150-154,共5页Automation of Electric Power Systems
基 金:国家自然科学基金资助项目(51207090)~~
摘 要:为进一步提升智能化变电站变压器运行数据的管理速率,提高站用状态监测系统的工作效率,文中从变压器振动噪声监测的实际需求出发,在分析数据管理移动技术和算法内嵌技术的基础上,设计并开发了基于.NET框架的变压器振动噪声综合分析系统。该系统以Oracle数据库作为后台数据库,采用Client/Server模式及ADO.NET与MATLAB混编技术,实现了变压器运行过程中海量振动噪声监测数据的读入和存储,提高了监测数据管理效率。同时以内嵌的振动噪声信号处理方法提取了变压器稳态与短路冲击下的信号特性,可为在运变压器的状态评估提供依据。系统运行结果验证了所述变压器振动噪声综合分析系统的可行性及有效性。To further improve the management rate of working data for power transformer and working efficiency of condition monitoring system in the smart substation, a comprehensive analyzing system of transformer vibration and noise monitoring system is designed and developed based on the actual demand of transformer vibration and noise monitoring, where data management mobile technology and algorithm embedding technology are analyzed. In the proposed system, the Client/Server mode, ADO. NET and MATLAB hybrid programming are adopted with the Oracle database as the background database. Hence, the developed system is capable of reading and storing the massive monitoring data of vibration and noise with high efficiency. Moreover, vibration and noise signals processing algorithms are embedded to extract the features of the monitored signals of transformer under stable operation and sudden short circuit impact, which is helpful to condition assessment of the transformer in operation. The operation results of the developed system have verified its feasibility and effectiveness.
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