Aiming to address the significant deviations in transformer fault identification when uneven fault data are processed, a hybrid integration model based on the improved light gradient boosting machine (GCLightGBM) is proposed in this study for effective transformer fault identification. This model consists of two key components. On the one hand, an improved LightGBM model called GCLightGBM is intro...Show More
In order to improve the accuracy of gas turbine fault diagnosis, a fault diagnosis method based on supporting vector machine and improved particle swarm algorithm is proposed: fault diagnosis model of gas turbine based on support vector machine. For the problem that support vector machine is greatly affected by its parameters, the improved particle swarm optimization algorithm based on beetle ante...Show More
