Properly evaluate the transformer insulation state of life of the transformer track

Transformer fault diagnosis technology is properly assess the state of the transformer insulation premise, while the transformer accurate grasp of the internal thermal state largely determines the load capacity and service life of the transformer, the transformer insulation fault diagnosis technology is an extension and expansion. Only correctly assess insulated transformer, the transformer life tracking to the actual state of the transformer to make the right  mcb circuit breaker . Papers from the power transformer fault diagnosis and internal thermal state prediction starting transformer condition for achieving these two important aspects of maintenance conducted in-depth research, the main research work: For the common method of BP neural network fault diagnosis of  Voltage stabilizer  insulation methods, the paper focusing on its network of selected learning sample creation, input selection, the convergence of the learning process and algorithm  electric meter  on issues such as research, was established based on the amount of items and bring variable learning rate improved BP neural network power transformer fault diagnosis method , analysis and simulation results show that the improved BP neural network can achieve better oil dissolved gas content data to the fault type mappings.