PD Signal Detection Based on Sliding Window Singular Value Decomposition |
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Fund Project:国家自然科学基金(51807123) |
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Abstract:In the process of partial discharge signal detection due to the small amplitude of partial discharge which is easy to be interfered by noise, it is difficult to detect partial discharge signal and restore waveform under low signal-to-noise ratio. In this paper, a partial discharge signal detection method based on sliding window singular value decomposition is proposed. The method utilizes the difference between the noise interference signal and the singular value of the partial discharge signal, then establishes the singular value difference sequence through the sliding window segmentation processing to achieve the purpose of noise reduction and restoration of the partial discharge signal. The simulation and measurement results show that the proposed method has more advantages than traditional methods in suppressing noise interference and restoring partial discharge signals, and has better stability. It is suitable for the detection and waveform recovery of measured partial discharge signals under mixed noise interference. |
keywords:sliding window singular value decomposition partial discharge signal singular value difference sequence noise suppression |
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