Abstract:

The noise voiceprint situation can extract a large amount of mechanical status information of energy storage transformers. The method based on voiceprint features and vibration signal shaping analysis is a more advanced means in transformer mechanical status detection. This article summarizes the operation and maintenance detection techniques of energy storage transformers based on voiceprint characteristics, combined with practical situations. Firstly, the research and development status of commonly used high-quality voiceprint vibration detection technologies at home and abroad were analyzed through examples. Then, the vibration model of energy storage transformers was divided from three aspects: winding vibration principle, iron core vibration principle, and iron core vibration under DC bias magnetization. Finally, various transformer feature diagnosis methods were summarized to achieve transformer problem detection.

Key words: voiceprint features, energy storage, transformer, vibration