Noise reduction method of electric auscultation system in photovoltaic power stations
In order to reduce the noise of collected sound of photovoltaic power stations in the photovoltaic power plant power listening system,the common noise of photovoltaic power plant is analyzed in time domain and spectrum.Besides,the noise reduction network is proposed based on various noise characteristics and U-net classical network.To enhance the noise reduction effect,energy information is added to the complex convolutional network and fused with the Transformer-based expert subsystem.Finally,the constructed dataset and multiple sets of comparison experiments demonstrate that the designed network can significantly improve the signal-to-noise ratio of the sound signal up to 6.14 dB for the common mixed signals.In addition,the effectiveness of the optimization points described in the paper is demonstrated by multiple sets of ablation experiments.
万方数据
维普
