Algorithm And Software Development For Power Transformer Vibration Monitoring And Diagnosing System Based On IoT

The sustained and rapid development of China's economy has led to the rapid development of the power industry.Transformer is one of the most important equipments in the power grid and plays an important role in the whole power system.Ensuring the normal operation of transformers is the first prerequisite for the safety of power grid.Once a large power transformer has a sudden accident in operation,it may cause a large area of power outage,resulting in significant social effects and economic losses.Moreover,the maintenance cost of power transformer is high,the maintenance cycle is long,and various economic losses are also very huge.In this paper,vibration analysis method is used to research and realize live detection and fault diagnosis of power transformer.Based on the vibration characteristics and extraction algorithm proposed by the research group,an effective machine learning model is proposed and applied to the fault diagnosis of practical transformers.The transformer vibration monitoring and diagnosis software system based on Android system is developed and implemented by using the increasingly mature Internet of Things technology and architecture.The system can realize live,real-time monitoring and fault diagnosis of power transformer all-weather and long-distance through cloud server.The research contents of this subject are as follows:(1)The vibration mechanism of power transformer,the vibration-based eigenvalue and its extraction algorithm are described.(2)Based on the vibration eigenvalue,the naive Bayesian classification model and the support vector machine model are studied,and a more effective machine learning model and diagnosis algorithm for live monitoring and fault diagnosis of power transformers are proposed and implemented by comparing and analyzing the experimental and field transformer data.(3)On the basis of the above research results,a software system for monitoring and fault diagnosis of live vibration of transformer is designed,developed and implemented by applying the technology and architecture of Internet of Things.The actual application results show that the designed system can effectively monitor the healthy operation status of power transformer remotely and in real time,and improve the safety,stability and reliability of transformer operation.