【摘要】 高压断路器作为保护铁路系统免受故障和短路影响的重要设备，在实际运行中产生的电振声信号往往带有各种噪声，严重影响故障诊断和保护功能的可靠性。针对该问题，提出基于改进小波算法的铁路高压断路器电振声信号去噪方法，利用VMD算法分解出含噪信号的IMF分量，引入相关系数，剔除无用信号，采用小波阈值去噪算法处理保留分量。通过采集VS1(VBM7)-12型高压断路器电振声信号，从定性和定量两方面对所提去噪方法的有效性和优越性进行验证。结果表明，所提方法的去噪性能优于传统小波去噪算法，为铁路高压断路器电振声信号去噪提供一种更有效的方法。更多还原

【Abstract】 High voltage circuit breakers, as important equipment for protecting railway systems from faults and short circuits, often generate various types of noise in their electrical vibration and sound signals during actual operation,seriously affecting the reliability of fault diagnosis and protection functions. With regard to this issue, a denoising method is proposed for railway high-voltage circuit breaker electrical vibration sound signals based on improved wavelet algorithm. The VMD algorithm is applied to decompose the IMF component of the signal with noises,introduce correlation coefficients, eliminate useless signals, and the wavelet threshold denoising algorithm is used to process the retained components. By collecting the electrical vibration and sound signals of VS1(VBM7)-12high-voltage circuit breaker, the effectiveness and superiority of the proposed denoising method are verified from both qualitative and quantitative perspectives. The results show that the denoising performance of the proposed method is superior to traditional wavelet denoising algorithms, providing a more effective method for denoising the electrical vibration and sound signals of railway high-voltage circuit breakers.更多还原