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An evaluation of total variation signal denoising methods for partial discharge signals

机译:局部放电信号总变化信号去噪方法的评估

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In this paper, we investigated the application of modern signal denoising techniques for nonstationary signals to real PD signals. We also introduced a new method ALIF-TV based on signal decomposition and TV, inspired by WATV developments. The methods' performance was evaluated and compared on the basis of their MSE metric. It was found that ALIF-TV outperforms WATV when applied to PD signals. Both algorithms were successful in reducing AWGN noise observed in our data. Other than AWGN, impulsive noise may also be an issue in PD field. However, it is not present in our data. This may be investigated as future work. The work of this paper can be exploited in condition monitoring for EMI fault diagnosis as pre-processing which will clean the signal to aid interpretation of PD information.
机译:在本文中,我们研究了用于非平稳信号到实际PD信号的现代信号去噪技术的应用。我们还借鉴了WATV的发展,推出了一种基于信号分解和TV的新方法ALIF-TV。方法的性能已根据其MSE指标进行了评估和比较。已经发现,将ALIF-TV应用于PD信号时,其性能优于WATV。两种算法都成功地减少了在我们的数据中观察到的AWGN噪声。除了AWGN,脉冲噪声也可能是PD领域的问题。但是,它不在我们的数据中。这可能会作为将来的工作进行调查。本文的工作可以在状态监测中用作EMI故障诊断的预处理,该预处理将清除信号以帮助解释PD信息。

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