Active suppression method and system for partial discharge ultra-high frequency signal background noise

Abstract

This invention provides an active suppression method and system for background noise of partial discharge (PD) UHF signals. The method includes: determining the placement positions of a UHF sensor and a noise sensor on the outer wall of a GIS (Gas-Insulated Structure) device; acquiring the mixed noise PD signal using the UHF sensor; acquiring the noise signal using the noise sensor after determining the minimum acquisition period; inputting the acquired noise signal into a spectrum analyzer for spectrum analysis; extracting the obvious narrowband noise frequency band in the frequency domain, determining its frequency band and phase jitter; and actively suppressing narrowband noise in the frequency band where narrowband noise exists using a narrowband noise interference suppression formula. This invention solves the technical problem of poor applicability to narrowband interference from PD UHF signals of GIS equipment in field environments, which restricts the accuracy and reliability of interference suppression.

Description

Technical Field

[0001] This invention relates to the field of ultra-high frequency sensor verification and interference suppression, specifically to an active suppression method and system for background noise of partial discharge ultra-high frequency signals. Background Technology

[0002] Partial discharge is a major cause of insulation degradation in electrical equipment and a key indicator of insulation deterioration. For the overall safety of the system, partial discharge detection of electrical equipment is necessary. Ultra-high frequency (UHF) partial discharge detection is widely used due to its high sensitivity and precise location capabilities. However, in actual operating conditions, wear, corrosion, and noise interference in the substation environment can affect the accuracy and sensitivity of UHF sensors in receiving partial discharge signals. This can lead to delayed detection and warnings of equipment malfunctions, resulting in serious consequences. Therefore, regular calibration of the sensors is essential.

[0003] In practical applications, the accuracy and reliability of UHF sensors are often significantly reduced due to complex background noise during calibration. This noise interference may originate from equipment operation, environmental factors, or other electromagnetic activities. To ensure timely early warning of equipment failures, it is essential to detect this background noise to identify its type and characteristics. This study investigates active suppression methods for narrowband noise interference, providing a foundation for UHF sensor calibration methods in noisy environments.

[0004] The existing invention patent application document CN118759321A, entitled "A Method for Field Detection and Laboratory Reproduction of Background Noise of Partial Discharge UHF Signals," includes the following steps: determining the arrangement position of UHF sensors on the outer wall of the GIS tube according to its shape; arranging the UHF sensors at the arrangement positions on the outer wall of the GIS tube; controlling the UHF sensors at each location to detect the background noise of partial discharge UHF signals of the GIS tube; and reproducing the noise under field conditions in the laboratory through signal processing and the arrangement of each noise sensor. However, the aforementioned existing solution focuses on the collection and experimental reproduction of all types of noise in the field, without considering noise reduction issues, and cannot achieve the removal of narrowband interference in the field.

[0005] The existing invention patent application document CN109782139A, entitled "An Online Monitoring System and Method for UHF Partial Discharge in GIS," describes a monitoring system comprising a sensor array unit, a waveform signal acquisition and transmission unit, and a host computer unit. The host computer unit includes a signal processing and filtering module, a partial discharge judgment module, and a partial discharge location module. The local location module includes a distance calculation module and a spatial positioning module. The monitoring method includes: acquiring background noise during GIS operation through the sensor array unit; obtaining waveforms with an oscilloscope and sending them to the host computer unit; calculating a partial discharge threshold and monitoring subsequent waveform data based on the threshold; determining that partial discharge has occurred when multiple components in a set of waveform data have amplitudes greater than the threshold; analyzing the waveform data using a variable time window method, calculating the waveform distortion time and obtaining the time delay, and then solving the hyperboloid equations using Newton's iteration method to obtain the partial discharge location and issue an alarm. The aforementioned existing solution relies heavily on the variable time window method in MATLAB for determining whether partial discharge has occurred and for locating it. This existing technology is difficult to perform noise reduction operations when noise and partial discharge coexist in the field.

[0006] The existing literature, "Research on Interference Suppression and Data Transmission of GIS Partial Discharge Monitoring System," studies interference suppression methods for GIS partial discharge monitoring systems, proposing a discharge template windowing and translation method to suppress ground noise interference in these systems. It uses Matlab to perform an FFT transform on the acquired noise-free partial discharge signal, using the transformed frequency domain signal as the discharge template. Then, it compares the partial discharge signal tainted by ground noise interference with this template, retaining the minimum value. Finally, it performs an IFFT transform on the processed frequency domain signal, thereby suppressing the interference and enhancing the characteristics of the partial discharge signal. This existing literature compares the spectra of the clean and noisy signals and uses the IFFT method for denoising. However, this existing technique cannot specifically remove narrowband noise.

[0007] This method differs from the existing invention patent application CN118759321A, entitled "A Method for Field Detection and Laboratory Reproduction of Background Noise from Partial Discharge UHF Signals," in that the patent mainly focuses on the collection and experimental reproduction of all types of noise in the field, without considering noise reduction issues. This patent, however, targets the removal of narrowband interference in the field.

[0008] This method differs from the existing invention patent application document CN109782139A, "An Online Monitoring System and Monitoring Method for UHF Partial Discharge in GIS," in that the patent mainly focuses on the MATLAB variable time window method for determining whether partial discharge has occurred and its location. This patent, however, addresses noise reduction in situations where noise and partial discharge coexist.

[0009] This method differs from the existing published literature, "Research on Interference Suppression and Data Transmission of GIS Partial Discharge Monitoring System," in that the literature compares the spectrum diagrams of clean and noisy signals and uses the IFFT method for denoising. This patent, however, considers the inherent properties of the GIS equipment and compares the noise signal with the mixed noise partial discharge signal. It then uses a denoising formula to specifically remove narrowband noise by determining the narrowband noise frequency band.

[0010] In summary, existing technologies have limitations in their applicability to narrowband interference from partial discharge UHF signals of GIS equipment in field environments, which restricts the accuracy and reliability of interference suppression. Summary of the Invention

[0011] The technical problem to be solved by this invention is to address the poor applicability of existing technologies to narrowband interference of partial discharge UHF signals from GIS equipment in field environments, which restricts the accuracy and reliability of interference suppression.

[0012] This invention solves the above-mentioned technical problems by employing the following technical solution: An active suppression method for background noise of partial discharge UHF signals includes:

[0013] S1. In the field environment, a first UHF sensor and a second UHF sensor are arranged on the outer wall of the GIS pipe. Gaussian pulses are injected into the first UHF sensor to excite the first UHF sensor to emit a partial discharge signal. The partial discharge UHF signal of the mixed background noise of the GIS pipe is detected and saved to obtain the average value of the partial discharge UHF signal of the mixed background noise.

[0014] S2. Arrange noise sensors on the outer wall of the GIS pipe, use the noise sensors to detect and save the background noise signal of the GIS pipe, and process it to obtain the average value of the background noise signal;

[0015] S3. Collect noise signals using noise sensors, perform spectrum analysis on the noise signals, determine narrowband noise, and identify the frequency range of narrowband noise; determine the phase jitter of narrowband noise in each frequency range.

[0016] S4. When the spectrum analysis confirms that the noise signal is narrowband noise, determine and store the frequency band and phase jitter of the narrowband noise, and process it to obtain the background noise suppression formula.

[0017] S5. Using the background noise suppression formula, integrate and process to obtain background noise suppression waveform data, and save the background noise suppression waveform data to the host computer.

[0018] S6. Perform mixed processing on the partial discharge UHF signal with mixed background noise and the background noise suppression waveform data to obtain the denoised partial discharge UHF signal.

[0019] This invention considers an active suppression strategy for narrowband interference caused by partial discharge UHF signals from GIS equipment in field environments. It can avoid the influence of complex background noise when calibrating UHF sensors, improving the accuracy and reliability of calibration results and interference suppression operations. This invention can remove narrowband interference in the field. Specifically, it addresses noise reduction in situations where both noise and partial discharge are present.

[0020] In a more specific technical solution, in S1, according to the preset deployment location and distance, a first UHF sensor and a second UHF sensor are arranged on the outer wall of the GIS pipe, and the first UHF sensor and the second UHF sensor are set on a horizontal line.

[0021] In a more specific technical solution, in S1, a Gaussian pulse is injected into the first ultra-high frequency sensor to excite the first ultra-high frequency sensor to emit a partial discharge signal.

[0022] Control the second ultra-high frequency sensor to detect the partial discharge ultra-high frequency signal of the GIS pipe in the mixed background noise;

[0023] The partial discharge ultra-high frequency signal is saved in the host computer and processed to obtain the average value U2 of the partial discharge ultra-high frequency signal mixed with background noise.

[0024] Since noise interference in existing technologies originates from equipment operation, environmental factors, or other electromagnetic activities, this invention detects the aforementioned background noise, identifies the type and characteristics of the noise, and ensures timely early warning of equipment malfunctions.

[0025] In a more specific technical solution, in S2, a noise sensor is arranged at the installation location of the second ultra-high frequency sensor.

[0026] In a more specific technical solution, in S2, the noise sensor is controlled to detect the background noise signal of the GIS pipe;

[0027] The background noise signal is saved in the host computer, and the average value U1 of the background noise signal has been obtained after processing.

[0028] In a more specific technical solution, in S3, a noise sensor is used to collect noise signals according to the following logic:

[0029]

[0030] In the formula, t represents the data acquisition time;

[0031] If the frequency band peak value of the noise signal is significantly higher than the peak value of the white noise across the entire frequency band, and the noise amplitude of the other frequency bands is similar to the white noise amplitude across the entire frequency band, then the presence of narrowband noise in that frequency band is confirmed, and the frequency range of the narrowband noise is identified.

[0032] The phase jitter of narrowband noise in each frequency band was determined by using a spectrum analyzer.

[0033] This invention studies an active suppression method for narrowband noise interference, providing a foundation for calibration methods of UHF sensors in noisy environments. Considering the inherent properties of GIS equipment and comparing noise signals with partial discharge signals from mixed noise sources, this invention uses a denoising formula to specifically remove narrowband noise by determining the narrowband noise frequency band.

[0034] In a more specific technical solution, in S4, if the spectrum analysis confirms that the noise signal is narrowband noise, then the frequency bands f1, f2…f of the narrowband noise are determined. n Phase jitter φ1(t), φ2(t)...φ n (t), where n is the maximum number of narrowband noise frequency bands;

[0035] The frequency bands f1, f2...f n Phase jitter φ1(t), φ2(t)...φ n (t) is stored in the host computer and processed to obtain the background noise suppression formula.

[0036] In a more specific technical solution, the background noise suppression formula is expressed using the following logic:

[0037]

[0038] In the formula, U1 represents the average value of the signal received by the noise sensor; U2 represents the average value of the signal received by the second UHF sensor; a represents the outer diameter of the inner conductor of the GIS tube; b represents the inner diameter of the outer shell of the GIS tube; and V represents the voltage level of the GIS tube.

[0039] In a more specific technical solution, in S6, the following logic is used to process and obtain the denoised partial discharge ultra-high frequency signal k(t):

[0040] k(t) = f(t) + g(t)

[0041] In the formula, f(t) represents the partial discharge UHF signal with mixed narrowband noise measured by the second UHF sensor.

[0042] In a more specific technical solution, the active suppression system for background noise of partial discharge UHF signals includes:

[0043] The partial discharge ultra-high frequency signal detection module is used to deploy a first ultra-high frequency sensor and a second ultra-high frequency sensor in the field environment, inject a Gaussian pulse into the first ultra-high frequency sensor to excite the first ultra-high frequency sensor to emit a partial discharge signal, detect and save the partial discharge ultra-high frequency signal of the mixed background noise of the GIS tube, and obtain the average value of the partial discharge ultra-high frequency signal of the mixed background noise.

[0044] The background noise signal detection module is used to deploy noise sensors, detect and save the background noise signal of the GIS pipe, and process it to obtain the average value of the background noise signal. The background noise signal detection module is connected to the partial discharge ultra-high frequency signal detection module.

[0045] The spectrum analysis module is used to collect noise signals using noise sensors, perform spectrum analysis on the noise signals, determine narrowband noise, and identify the frequency range of narrowband noise; it also determines the phase jitter of narrowband noise in each frequency range.

[0046] The background noise suppression logic determination module is used to determine and store the frequency band and phase jitter of the narrowband noise when the spectrum analysis confirms that the noise signal is narrowband noise. Based on this, the background noise suppression formula is obtained. The background noise suppression logic determination module is connected to the spectrum analysis module.

[0047] The integration processing module is used to integrate and process background noise suppression formula to obtain background noise suppression waveform data, and save the background noise suppression waveform data to the host computer. The integration processing module is connected to the background noise suppression logic determination module.

[0048] The hybrid processing module is used to perform hybrid processing on the partial discharge UHF signal with mixed background noise and the background noise suppression waveform data to obtain the denoised partial discharge UHF signal. The hybrid processing module is connected to the integrated processing module and the background noise signal detection module.

[0049] The present invention has the following advantages over the prior art:

[0050] This invention considers an active suppression strategy for narrowband interference caused by partial discharge UHF signals of GIS equipment in field environments. It can avoid the influence of complex background noise when calibrating UHF sensors, thereby improving the accuracy and reliability of calibration results and interference suppression operations.

[0051] Since noise interference in existing technologies originates from equipment operation, environmental factors, or other electromagnetic activities, this invention detects the aforementioned background noise, identifies the type and characteristics of the noise, and ensures timely early warning of equipment malfunctions.

[0052] This invention studies an active suppression method for narrowband noise interference, which can provide a basis for the calibration method of UHF sensors in noise-affected environments.

[0053] This invention solves the technical problem in the prior art that the partial discharge UHF signal of GIS equipment is poorly applicable to narrowband interference in field environments, which restricts the accuracy and reliability of interference suppression. Attached Figure Description

[0054] Figure 1 This is a schematic diagram of the basic steps of the active suppression method for background noise of UHF partial discharge signals according to Embodiment 1 of the present invention;

[0055] Figure 2 This is a schematic diagram of the ultra-high frequency sensor setup in Embodiment 1 of the present invention;

[0056] Figure 3 This is a schematic diagram of the noise sensor setup in Embodiment 1 of the present invention;

[0057] Figure 4 This is a schematic diagram of the ultra-high frequency Gaussian pulse signal for partial discharge in Embodiment 1 of the present invention;

[0058] Figure 5 This is a spectrum diagram of the background noise signal measured by the noise sensor in the field test of Embodiment 1 of the present invention after spectrum analysis;

[0059] Figure 6 This is the phase diagram of the background noise signal measured by the noise sensor in the field test of Embodiment 1 of the present invention after spectral analysis. Detailed Implementation

[0060] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0061] Example 1

[0062] like Figure 1 As shown, the active suppression method for background noise of UHF partial discharge signals provided by the present invention includes the following basic steps:

[0063] Step S1: In the field environment, a first UHF sensor and a second UHF sensor are arranged on the outer wall of the GIS pipe. Gaussian pulses are injected into the first UHF sensor to excite it to emit a partial discharge signal. The UHF signal of partial discharge of mixed background noise of the GIS pipe is detected and saved to obtain the average value of the UHF signal of partial discharge of mixed background noise.

[0064] like Figure 2 As shown, in the field test of this embodiment, a first UHF sensor is arranged on the outer wall at a distance l1 from any port l1 of the GIS pipe, and a second UHF sensor is arranged on the outer wall at a distance l2 from the first UHF sensor, so that the first UHF sensor and the second UHF sensor are on the same horizontal line. An injection is then applied to the first UHF sensor... Figure 4 The Gaussian pulse shown is used to excite the partial discharge signal, where l1 is 200 mm and l2 is 1000 mm. The second UHF sensor is controlled to detect the UHF partial discharge signal of the GIS tube in the mixed background noise, and the data is saved in the host computer. The average value U2 of the UHF partial discharge signal in the mixed background noise is obtained by processing.

[0065] Step S2, as follows Figure 3 As shown, a noise sensor is placed on the outer wall of the GIS pipe to detect and save the background noise signal of the GIS pipe and obtain the average value of the background noise signal.

[0066] In this embodiment, a noise sensor is placed at the same location as the second UHF sensor in step S1. The noise sensor is controlled to detect the background noise signal of the GIS pipe, and the data is saved in the host computer and processed to obtain the average value U1 of the background noise signal.

[0067] Step S3: Collect noise signals using the aforementioned noise sensor, perform spectrum analysis on the received noise signals to confirm that the noise is narrowband noise and the frequency range of the narrowband noise; determine the phase jitter of the narrowband noise in each frequency range.

[0068] In this embodiment, a noise sensor is used to collect noise signals for a time period t, where:

[0069]

[0070] like Figure 5 , Figure 6 As shown, in this embodiment, spectral analysis is performed on the received noise signal. If the image obtained from the spectral analysis has high peak values ​​in one or more frequency bands and the noise amplitude in the remaining frequency bands is similar to the amplitude of white noise appearing across the entire frequency band, then the noise is confirmed to be narrowband noise, and the frequency range of the narrowband noise is confirmed. The phase jitter of the narrowband noise in each frequency band range is determined by testing with a spectrum analyzer.

[0071] Step S4: When the spectrum analysis confirms that the collected noise is narrowband noise, determine and store the frequency band and phase jitter of the narrowband noise;

[0072] In this embodiment, if spectrum analysis confirms that the collected noise is narrowband noise, then the frequency bands f1, f2...f of the narrowband noise are determined. n and phase jitter φ1(t), φ2(t)...φn (t), where n represents the maximum number of narrowband noise frequency bands, and the data is stored in the host computer. The background noise suppression formula is obtained as follows:

[0073]

[0074] Wherein, U1 represents the average value of the signal received by the noise sensor; U2 represents the average value of the signal received by the second ultra-high frequency sensor; a represents the outer diameter of the inner conductor of the GIS pipe; b represents the inner diameter of the outer shell of the GIS pipe; and V represents the voltage level of the GIS pipe.

[0075] Step S5: Calculate and integrate the background noise suppression waveform data, and save the waveform in the host computer;

[0076] Step S6: Mix the mixed background noise UHF signal obtained in step S2 with the background noise suppression waveform stored in the host computer in step S5 to obtain the denoised UHF signal k(t).

[0077] k(t) = f(t) + g(t)

[0078] Where f(t) represents the partial discharge UHF signal with mixed narrowband noise measured by the second UHF sensor.

[0079] In summary, this invention considers an active suppression strategy for narrowband interference caused by partial discharge UHF signals of GIS equipment in field environments. It can avoid the influence of complex background noise when calibrating UHF sensors, thereby improving the accuracy and reliability of calibration results and interference suppression operations.

[0080] Since noise interference in existing technologies originates from equipment operation, environmental factors, or other electromagnetic activities, this invention detects the aforementioned background noise, identifies the type and characteristics of the noise, and ensures timely early warning of equipment malfunctions.

[0081] This invention studies an active suppression method for narrowband noise interference, which can provide a basis for the calibration method of UHF sensors in noise-affected environments.

[0082] This invention solves the technical problem in the prior art that the partial discharge UHF signal of GIS equipment is poorly applicable to narrowband interference in field environments, which restricts the accuracy and reliability of interference suppression.

[0083] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An active suppression method for background noise of partial discharge UHF signals, characterized in that, The method includes: S1. In the field environment, a first UHF sensor and a second UHF sensor are arranged on the outer wall of the GIS pipe. Gaussian pulses are injected into the first UHF sensor to excite the first UHF sensor to emit a partial discharge signal. The partial discharge UHF signal of the mixed background noise of the GIS pipe is detected and saved to obtain the average value of the partial discharge UHF signal of the mixed background noise. S2. Arrange noise sensors, use the noise sensors to detect and save the background noise signal of the GIS pipe, and process it to obtain the average value of the background noise signal; S3. Use the noise sensor to collect noise signals, perform spectrum analysis on the noise signals, determine narrowband noise, and determine the frequency range of the narrowband noise; determine the phase jitter of the narrowband noise in each frequency range; S4. When the spectrum analysis confirms that the noise signal is the narrowband noise, determine and store the frequency band of the narrowband noise. 、 The phase jitter is processed to obtain the background noise suppression formula; In S4, if the spectrum analysis confirms that the noise signal is the narrowband noise, then the frequency band of the narrowband noise is determined. f 1. f 2 f n The phase jitter , ,in, n Take the maximum number of narrowband noise frequency bands; The frequency band in question f 1. f 2 f n The phase jitter , The data is stored in the host computer and processed to obtain the background noise suppression formula. The background noise suppression formula can be expressed using the following logic: In the formula, U 1 represents the average value of the signal received by the noise sensor; U 2 represents the average value of the signal received by the second ultra-high frequency sensor; a This indicates the outer diameter of the conductor inside the GIS pipe; b This indicates the inner diameter of the GIS pipe casing; V This indicates the voltage rating of the GIS pipe; S5. Using the background noise suppression formula, integrate and process to obtain background noise suppression waveform data, and save the background noise suppression waveform data to the host computer. S6. The partial discharge UHF signal with mixed background noise and the background noise suppression waveform data are mixed and processed to obtain a denoised partial discharge UHF signal.

2. The active suppression method for background noise of partial discharge UHF signals according to claim 1, characterized in that, In step S1, the first UHF sensor and the second UHF sensor are arranged on the outer wall of the GIS pipe according to the preset deployment position and distance, and the first UHF sensor and the second UHF sensor are set on a horizontal line.

3. The active suppression method for background noise of partial discharge UHF signals according to claim 1, characterized in that, In step S1, the Gaussian pulse is injected into the first ultra-high frequency sensor to excite the first ultra-high frequency sensor to emit a partial discharge signal. Control the second ultra-high frequency sensor to detect the partial discharge ultra-high frequency signal of the mixed background noise of the GIS pipe; The partial discharge ultra-high frequency signal is stored in the host computer, and the average value of the partial discharge ultra-high frequency signal mixed with background noise is obtained. U 2.

4. The active suppression method for background noise of partial discharge UHF signals according to claim 1, characterized in that, In step S2, the noise sensor is arranged at the mounting position of the second ultra-high frequency sensor.

5. The active suppression method for background noise of partial discharge UHF signals according to claim 1, characterized in that, In step S2, the noise sensor is controlled to detect the background noise signal of the GIS pipe; The background noise signal is saved in the host computer, and the average value of the background noise signal has been obtained after processing. U 1.

6. The active suppression method for background noise of partial discharge UHF signals according to claim 1, characterized in that, In step S3, the noise signal is acquired using the noise sensor according to the following logic: In the formula, t represents the data acquisition time; Perform spectral analysis on the noise signal. If the peak value of a frequency band in the image obtained by spectral analysis is significantly higher than the peak value of white noise in the entire frequency band, and the noise amplitude of the other frequency bands is similar to the amplitude of white noise in the entire frequency band, then it is confirmed that there is narrowband noise in that frequency band, and the frequency range of the narrowband noise is confirmed. The phase jitter of the narrowband noise in each of the aforementioned frequency bands is determined by using a spectrum analyzer.

7. The active suppression method for background noise of partial discharge UHF signals according to claim 1, characterized in that, In step S6, the denoised partial discharge ultra-high frequency signal is obtained by processing using the following logic. k (t): k (t)= f (t)+ g (t) In the formula, f (t) represents the partial discharge UHF signal with mixed narrowband noise measured by the second UHF sensor.

8. An active suppression system for background noise of UHF partial discharge signals, used to perform the active suppression method for background noise of UHF partial discharge signals as described in any one of claims 1 to 7, characterized in that, The system includes: The partial discharge ultra-high frequency signal detection module is used to deploy a first ultra-high frequency sensor and a second ultra-high frequency sensor in the field environment, inject a Gaussian pulse into the first ultra-high frequency sensor to excite the first ultra-high frequency sensor to emit a partial discharge signal, detect and save the partial discharge ultra-high frequency signal of the mixed background noise of the GIS tube, and obtain the average value of the partial discharge ultra-high frequency signal of the mixed background noise. A background noise signal detection module is used to deploy noise sensors, detect and save the background noise signal of the GIS pipe using the noise sensors, and process the background noise signal to obtain the average value of the background noise signal. The background noise signal detection module is connected to the partial discharge ultra-high frequency signal detection module. The spectrum analysis module is used to collect noise signals using the noise sensor, perform spectrum analysis on the noise signals, determine narrowband noise, and determine the frequency range of the narrowband noise; and determine the phase jitter of the narrowband noise in each frequency range. The background noise suppression logic determination module is used to determine and store the frequency band of the narrowband noise when the spectrum analysis confirms that the noise signal is the narrowband noise. 、 The phase jitter is processed to obtain the background noise suppression formula, and the background noise suppression logic determination module is connected to the spectrum analysis module. An integrated processing module is used to integrate and process the background noise suppression formula to obtain background noise suppression waveform data, and save the background noise suppression waveform data to the host computer. The integrated processing module is connected to the background noise suppression logic determination module. A hybrid processing module is used to perform hybrid processing on the mixed background noise partial discharge ultra-high frequency signal and the background noise suppression waveform data to obtain a denoised partial discharge ultra-high frequency signal. The hybrid processing module is connected to the integrated processing module and the background noise signal detection module.

Images