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基于内部机械振动数据表观化映射的抽蓄主变运行状态智能识别方法研究

Research on Intelligent Identification Method of Main Transformer Operating State Based on Visualization Mapping of Internal Mechanical Vibration Data

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【作者】 刘辉; 赵文彬; 卢武; 卢波; 姜益民; 陆胜;

【Author】 LIU Hui;ZHAO Wen-bin;LU Wu;LU Bo;JIANG Yi-min;LU Sheng;School of Electrical Engineering, Shanghai University of Electric Power;State Grid Co., Ltd.East China Branch;East China Tianhuangping Pumped Storage Power Co., Ltd.;

【机构】 上海电力大学电气工程学院; 国家电网有限公司华东分部; 华东天荒坪抽水蓄能有限责任公司;

【摘要】 对一台500kV/360MVA抽蓄主变油箱表面测点振动信号进行采集,拟合了箱体表面在各种工况下的振动云图,仿真了内部机械振动通过变压器油传递到油箱壁上的表面压力云图,并利用支持向量机(SVM)进行了变压器运行状态识别与分析。

【Abstract】 The tank vibration of a 500 kV/360 MVA pump-storage generator transformer under different operating conditions are measured by test points on the tank surface corresponds. The vibration nephograms of the oil tank surface under various working conditions are fitted. The nephogram of surface mechanical pressure caused by the transportation of internal mechanical vibration is simulated. By using support vector machine(SVM), the transformer operating state identification and analysis are carried out.

【基金】 国家自然科学基金资助项目(51707113)
  • 【分类号】TM41;TV743
  • 【被引频次】2
  • 【下载频次】100
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