Anti-interference method for high-frequency partial discharge signal detection
A technology of discharge signal and partial discharge pulse, applied in the direction of testing dielectric strength, etc., can solve the problem of information redundancy and time-consuming calculation
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Embodiment 1
[0071] The invention aims to establish a wavelet threshold denoising method with optimal parameters, so as to be used in the denoising work of partial discharge detection. First of all, the present invention builds a simulated partial discharge detection system, and uses the wavelet threshold method to process the noisy partial discharge signal; then, according to the established index set for evaluating the denoising effect, the different denoising effects are comprehensively judged, Thus the optimal parameter configuration of the wavelet threshold denoising method is obtained.
[0072] see figure 1 As shown, the anti-interference method for high-frequency partial discharge signal detection provided by the present invention comprises the following steps:
[0073] 1) Build a simulated partial discharge signal test loop system, obtain the signal after the partial discharge pulse signal carrying noise passes through the simulated partial discharge signal test loop system, and a...
Embodiment 2
[0129] The following is a specific implementation example of the optimal parameter wavelet threshold denoising method given by the inventor.
[0130] 1. Laboratory simulation verification
[0131] The inventor took the XLPE cable as the partial discharge detection object. Firstly, the laboratory simulation test was carried out to verify the denoising effect of the optimal parameter wavelet threshold denoising method under the condition of high signal-to-noise ratio and various noise types. . The partial discharge test circuit built in the laboratory is as follows: Figure 16 shown. Figure 17 It shows that when Gaussian white noise is superimposed to a signal-to-noise ratio of -11 decibels, the simulated partial discharge pulse signal is shown in figure (a), and the result obtained after optimal parameter wavelet threshold method denoising is shown in figure (b). Figure 18 For when multiple noise signals are superimposed to a signal-to-noise ratio of -10 decibels, the simu...
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