Overview of machine learning for transformer fault diagnosis

In the context of artificial intelligence, by monitoring the massive data in the power grid, the operation status of power equipment can be quickly and accurately predicted, laying a solid foundation for subsequent fault warning. Taking machine learning methods for transformer fault diagnosis in the context of artificial intelligence as the research topic, three classic intelligent diagnostic models are introduced in detail: neural networks,support vector machines, and Bayesian classification. The application and development of these three types of intelligent diagnostic models in transformer fault diagnosis work are elaborated and summarized, as well as their corresponding characteristics; Finally, the development trend of transformer fault diagnosis was introduced and prospects were made.