基于漏磁场和深度信念网络的变压器绕组变形诊断研究

Research On Transformer Winding Deformation Diagnosis Based on Leakage Magnetic Field and Deep Belief Network

针对变压器绕组变形故障诊断问题,提出了一种利用变压器漏磁场信息作为分类属性的深度信念网络绕组变形故障诊断方法,并通过仿真测试验证了其有效性。

Aiming at the problem of transformer winding deformation fault diagnosis,a deep belief network winding deformation fault diagnosis method using transformer leakage magnetic field information is proposed as classification attribute.The validity of fault diagnosis is verified by simulation test.