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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
【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.
【关键词】 变压器;
机械振动;
流-固耦合;
数据映射;
支持向量机;
【Key words】 Transformer; Mechanical vibration; Fluid-solid coupling; Data mapping; Support vector machines;
【Key words】 Transformer; Mechanical vibration; Fluid-solid coupling; Data mapping; Support vector machines;
【基金】 国家自然科学基金资助项目(51707113)
- 【文献出处】 变压器 ,Transformer , 编辑部邮箱 ,2021年06期
- 【分类号】TM41;TV743
- 【被引频次】2
- 【下载频次】100