WM-based partial discharge white noise adaptive suppression method
A technology of partial discharge and white noise, which is applied in the field of self-adaptive suppression of partial discharge white noise based on WM, can solve the problems that the position of the pulse endpoint is easily distorted, the singular value threshold is difficult to determine, and it is easily affected by human factors, so as to achieve small distortion , good adaptability, and the effect of short algorithm time consumption
Pending Publication Date: 2021-11-30
SICHUAN UNIV
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However, for the measured signal, it is difficult to select the effective number of SVD decomposition layers and singular values, which is easily affected by human factors, and SVD requires a large number of matrix decomposition calculations, and the algorithm takes a long time
Therefore, adaptive singular value decomposition (Adaptive Singular Value Decomposition, ASVD) is proposed to suppress the white noise in the noisy PD signal. Although it can effectively retain the signal details, the singular value threshold is still difficult to determine and the position of the pulse endpoint is prone to distortion.
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[0060] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0061] In the present invention, unless otherwise clearly specified and limited, terms such as "installation", "connection", "connection" and "fixation" should be understood in a broad sense, for example, it can be a fixed connection or a detachable connection , or integrally connected; may be mechanically connected, may also be electrically connected; may be directly connected, may also be indirectly connected through an intermediary, and may be in...
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The invention discloses a partial discharge white noise adaptive suppression method based on WM, and the method comprises the steps: obtaining an original signal generated in a partial discharge test process; decoupling and separating the relative high-frequency component and the relative low-frequency component in the original signal; correcting the relative high-frequency component to obtain a real relative high-frequency fluctuation quantity; obtaining the absolute value of the relative low-frequency component, adopting a sliding threshold window, performing scanning, and obtaining a PD signal after white noise suppression. Separating the aliasing signals, and further de-noising the separated PD signals through an adaptive threshold window, so as to suppress white noise in the noisy signals; white noise in actually measured signals can be effectively suppressed, distortion of a pulse starting point is small, and the signal denoising effect of the method is obviously superior to that of existing DWT and ASVD methods.
Description
technical field [0001] The invention relates to the field of power cable detection, in particular to a WM-based partial discharge white noise adaptive suppression method. Background technique [0002] Partial Discharge (PD) detection is an effective measure to diagnose the insulation state of power cables, and it is also one of the main means to ensure the normal operation of cables. However, on-site cable partial discharge detection is often in a complex environment, and the measured partial discharge signal is often mixed with various interference signals, such as white noise interference, high-frequency pulse interference, and periodic narrow-band interference, thereby affecting the partial discharge detection results. White noise is the main interference in PD detection. Therefore, how to effectively suppress white noise in PD signals is a key issue to improve the accuracy of PD detection. [0003] At present, many scholars at home and abroad have conducted research on...
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IPC IPC(8): H03K17/16
CPCH03K17/16
Inventor孟鹏飞周凯龚薇李原朱光亚曹晓燕冉立
OwnerSICHUAN UNIV