Research on Fault Diagnosis of Partial Discharge in Oil-Immersed Transformers Based on Voice Recognition
Partial discharge in oil-immersed transformers can lead to local insulation damage,which gradually expands over time,eventually causing equipment damage or.In order to effectively monitor partial discharge failures in oil-immersed transformers,a monitoring method based on voiceprint recognition technology is proposed.The sound signals generated partial discharges in oil-immersed transformers are collected and processed,and a partial discharge failure diagnosis model is established to achieve the monitoring and identification of five types of discharge failures,such as internal tip discharge and floating discharge.Meanwhile,the model is trained and tested with actual voiceprint failure data,which effectively improves the accuracy identification.This method has high practical value and application prospects,and can provide effective technical support and guarantee for the safe operation of power systems.
NETL
NSTL
万方数据
