Self-adaptive compressed sensing method for compressed transmission of partial discharge signal
A discharge signal, compressed sensing technology, applied in the recognition of patterns in the signal, computer components, complex mathematical operations, etc., can solve the problems of the minimum l1 norm method reconstruction performance degradation, slow reconstruction speed, not in line with the actual situation and other problems , to achieve the effect of saving signal transmission and storage costs and eliminating noise signals
A discharge signal, compressed sensing technology, applied in the recognition of patterns in the signal, computer components, complex mathematical operations, etc., can solve the problems of the minimum l1 norm method reconstruction performance degradation, slow reconstruction speed, not in line with the actual situation and other problems , to achieve the effect of saving signal transmission and storage costs and eliminating noise signals
CN112508089APending Publication Date: 2021-03-16JINCHENG POWER SUPPLY COMPANY OF STATE GRID SHANXI ELECTRIC POWER
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[0054] refer to Figure 1-5 , a specific embodiment of the present invention comprises the following steps:
[0055] A. Data preprocessing, transforming low signal-to-noise ratio signals into high signal-to-noise ratio signals through wavelet filtering;
[0056] B. A complete dictionary is trained after overlapping blocks with high signal-to-noise ratio. The atoms in the dictionary are only highly correlated with PD pulses;
[0057] C. Determine whether the signal block contains PD pulses, if so, set its label to 1, otherwise set it to 0;
[0058] D. Perform compressed sampling for signal blocks with different labels;
[0059] E. Perform sparse reconstruction on the compressed and sampled signal to obtain the original signal.
[0060] In step A, first use a 5th-order high-pass Butterworth filter with a filter cut-off frequency of 20kHz to filter out the fundamental wave and some low-frequency noise components; The number is set to 3 layers, the wavelet function is dB8 wave...
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The invention discloses a self-adaptive compressed sensing method for compressed transmission of a partial discharge signal, which comprises the following steps of: A, data preprocessing: converting alow signal-to-noise ratio signal into a high signal-to-noise ratio signal through wavelet filtering; B, training an over-complete dictionary after overlapping and partitioning the high signal-to-noise ratio, wherein atoms in the dictionary are only highly related to partial discharge pulses; C, judging whether the signal block contains a partial discharge pulse or not, if so, setting the label ofthe signal block as 1, otherwise, setting the label as 0; D, carrying out compressed sampling on the signal blocks with different labels; and E, performing sparse reconstruction on the compressed andsampled signal to obtain an original signal. According to the method, the defects in the prior art can be overcome, the compression ratio is increased, the on-site acquisition noise can be effectively filtered while the good recovery effect is ensured, and the signal transmission and storage cost is saved.
Description
technical field [0001] The invention relates to the technical field of abnormal detection of electrical equipment, in particular to an adaptive compressed sensing method for compressed transmission of partial discharge signals. Background technique [0002] Partial discharge signals can indicate abnormal conditions in electrical equipment, and prolonged partial discharges can lead to further degradation of insulation. High-voltage discharge will deteriorate the insulation material and greatly reduce the insulation performance of electrical equipment. Therefore, their monitoring is crucial. At present, the application of partial discharge monitoring has been applied to many electrical equipment, such as switchgear, GIS high-voltage switchgear, transformers, generators, buried cables, overhead lines, etc. The main monitoring methods are UHF method, TEV method, ultrasonic method , pulse current method, etc. Among them, the TEV monitoring method has attracted extensive attent...
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Patent Timeline
16 Mar 2021
Publication
CN112508089A
- IPC
- G06K9/62; G06K9/00; G06F17/16
- CPC
- G06F17/16; G06F2218/04; G06F18/214; Y02D30/70
- Inventors
- 常宇歌; 李梦男