Full-scene fault research of primary and secondary fusion equipment based on data platform

A full-scenario fault analysis method for primary and secondary fusion equipment based on data platform is proposed. The types and methods of low-voltage distribution network fault scenarios are described, and the factors that affect distribution network fault simulation are analyzed. The single-phase grounding fault model of low-voltage distribution network is described, the small resistance grounding system model and the arc suppression coil grounding system model are established, and the influencing factors of the two when simulating faults are analyzed. Based on the data platform, the convolutional neural network fault diagnosis method is proposed, and the process analysis is carried out in combination with the functional characteristics of the primary and secondary equipment fusion device. The simulation analysis verifies the effectiveness of the fault scenario simulation proposed in this paper in terms of data accuracy and training data results.