Research on Transformer State Detection Technology Based on Voiceprint Compression
To improve the intelligence level of transformer operation and maintenance,a new method for transformer state detection based on voiceprint compression is proposed.This method utilizes voiceprint feature extraction technology to extract key features from the sound of transformer operation,applies voiceprint compression algorithm to achieve efficient encoding,and trains a state recognition model based on the compressed features.The experimental results show that this method outperforms traditional methods in terms of fault detection rate,false alarm rate,accuracy,and other indicators,effectively improving the efficiency and reliability of transformer state detection.
transformer status detectionvoiceprint compressionfeature extraction
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