Transformer electromagnetic-mechanical information fusion method based on fuzzy support vector machine

A transformer electromagnetic-mechanical information fusion method based on a fuzzy support vector machine belongs to the technical field of transformers, and comprises the following steps: dividing an electromagnetic subsystem and a mechanical subsystem of a transformer, extracting characteristic parameters of each subsystem, forming a characteristic parameter vector set, analyzing a characteristic parameter corresponding relation and a change condition, and forming a global multi-source information base; extracting current and vibration information of a transformer unbalanced operation virtual/physical entity by using a fuzzy support vector machine; and obtaining fusion feature indexes, dividing state grades, constructing a transformer winding state quantitative evaluation and fuzzy clustering system, and realizing information physical fusion of a virtual/physical entity and an electromagnetic-mechanical subsystem. 基于模糊支持向量机的变压器电磁-机械信息融合方法，属于变压器技术领域，本发明通过划分变压器电磁子系统和机械子系统，提取各子系统特征参数，形成特征参数向量集，分析特征参数对应关系及变化情况