Transformer operation state monitoring method and system based on wavelet time-frequency entropy and RUSboost

The invention discloses a transformer operation state monitoring method and system based on wavelet time-frequency entropy and RUSboost, and the method comprises the steps: building a voiceprint data collection platform of a power transformer, collecting voiceprint signal data of the transformer under different operation conditions, and carrying out the data preprocessing; performing time-frequency domain analysis, operation condition analysis and measurement point selection on the preprocessed transformer voiceprint signal; performing 50Hz frequency doubling wavelet time-frequency entropy calculation on the voiceprint signal; establishing a transformer voiceprint recognition model based on an RUSBoost algorithm, and training and testing the transformer voiceprint recognition model; and carrying out transformer operation state online monitoring based on the transformer voiceprint recognition model. Effective support is provided for monitoring and recognition of the mechanical state of the transformer with the