CN113945817A - Frequency band adaptive filtering method and device for partial discharge detection - Google Patents
Frequency band adaptive filtering method and device for partial discharge detection Download PDFInfo
- Publication number
- CN113945817A CN113945817A CN202010686865.3A CN202010686865A CN113945817A CN 113945817 A CN113945817 A CN 113945817A CN 202010686865 A CN202010686865 A CN 202010686865A CN 113945817 A CN113945817 A CN 113945817A
- Authority
- CN
- China
- Prior art keywords
- signal
- frequency band
- band filter
- filtering
- channel
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000001914 filtration Methods 0.000 title claims abstract description 111
- 238000001514 detection method Methods 0.000 title claims abstract description 76
- 230000003044 adaptive effect Effects 0.000 title claims abstract description 33
- 238000000034 method Methods 0.000 title claims abstract description 32
- 230000003321 amplification Effects 0.000 claims description 9
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 7
- 230000008054 signal transmission Effects 0.000 claims 1
- 230000000694 effects Effects 0.000 description 7
- 238000012360 testing method Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000009413 insulation Methods 0.000 description 2
- 230000015556 catabolic process Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/14—Circuits therefor, e.g. for generating test voltages, sensing circuits
-
- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03H—IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS; RESONATORS
- H03H21/00—Adaptive networks
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Testing Relating To Insulation (AREA)
Abstract
The invention discloses a frequency band self-adaptive filtering method and a device for partial discharge detection, wherein the self-adaptive filtering method comprises the steps of setting a plurality of frequency band filter channels, and inputting partial discharge original signals into the frequency band filter channels for filtering; setting a channel selection module, wherein the channel selection module compares signal-to-noise ratios of channel filtering output signals of a plurality of frequency band filters and selects the filtering output signal with a large signal-to-noise ratio as a final filtering processed detection signal and transmits the final filtering processed detection signal to discharge detection equipment; the adaptive filtering device comprises a plurality of frequency band filter channels (110) and a channel selection module (120); the channel input end of the frequency band filter receives the original partial discharge signal, the channel output end of the frequency band filter is connected with the discharge detection device, and the frequency band filter channel is controlled by the channel selection module. The self-adaptive filtering method and the self-adaptive filtering device realize the self-adaptive selection of the optimal frequency band filter channel to filter the local discharge signal.
Description
Technical Field
The present invention relates to a partial discharge detection technology, and in particular, to a frequency band adaptive filtering method and apparatus for partial discharge detection.
Background
Partial discharge phenomenon is a main symptom of insulation degradation of power equipment, and in order to find a discharge source early and accurately, prevent accidents, and ensure safe and reliable operation of a power system, partial discharge detection is usually required to be performed on the equipment. However, in the partial discharge detection process, the partial discharge detection process is affected by external electromagnetic interference, such as electromagnetic interference signals of different frequency bands of mobile communication, WIFI, ZigBee and the like, so in actual detection, a filter technology is required to be adopted to filter signals acquired by the sensor, noise interference is filtered, and effective partial discharge signals are extracted.
At present, two methods are mainly adopted for filtering processing of signals, one is a manual method, and the other is a software method. Under a manual method, a detector needs to carry a plurality of filter devices with different frequency bands, and selects a proper filter frequency band by manually replacing a filter and comparing the detected signal-to-noise ratios of different filters, which has the problems that firstly, a partial discharge signal has intermittency, the manual replacement of the filter takes longer time, and in the process, the discharge signal may disappear or change, so that the signals before and after the replacement cannot be compared; secondly, the selection and replacement of the filter generally depend on the field experience of detection personnel, and the reliability of the detection result is generally difficult to ensure; thirdly, the efficiency is low, the method is not suitable for synchronous detection of multi-channel signals, and the method is difficult to be used for online monitoring of discharge signals. Under the software method, the self-adaptive filtering algorithm is implanted into background software, and the method has the problems that signals with a wider frequency band need to be acquired as far as possible at the front end of signal detection, so that high requirements are put forward on performance indexes of devices such as an amplifier, a filter and a data acquisition card at the front end, and the pressure of background data processing is synchronously increased.
Chinese patent (CN 201010214757.2) discloses a gas insulated switchgear testing system, in which a SF6 insulation and reactor compensation technology is adopted to shield a spatially coupled partial discharge interference signal outside a measuring system, so that the rated partial discharge of the system is less than 5pC, thereby reducing the partial discharge of a GIS test testing device and solving the influence of field interference on a test. The invention patent is a partial discharge amount test system, wherein a filter is used for solving the influence of field interference on a test experiment, but the specific type of the filter is not disclosed.
Disclosure of Invention
The invention aims to provide a frequency band self-adaptive filtering method and a frequency band self-adaptive filtering device for partial discharge detection.
In order to achieve the technical purpose, the invention adopts the following technical scheme:
a frequency band adaptive filtering method for partial discharge detection comprises the following steps:
step 1: setting a plurality of different frequency band filter channels, and inputting the original partial discharge signals into the different frequency band filter channels for filtering;
step 2: and a channel selection module is arranged, and the channel selection module compares the signal-to-noise ratios of the filtering output signals of the filter channels of the different frequency bands and selects the filtering output signal with a large signal-to-noise ratio as a final filtering processed detection signal and transmits the final filtering processed detection signal to the discharge detection equipment.
Further, the step 2 comprises:
step 2.1: selecting an uncompared frequency band filter channel, and setting a filter output signal of the frequency band filter channel as a first comparison signal;
step 2.2: selecting an uncompared frequency band filter channel, and setting a filter output signal of the frequency band filter channel as a second comparison signal;
step 2.3: calculating a difference between the signal-to-noise ratio of the first contrast signal minus the signal-to-noise ratio of the second contrast signal;
step 2.4: setting a judgment threshold, judging whether the difference value is larger than the judgment threshold, if so, judging that a frequency band filter channel corresponding to the first comparison signal is won, and if not, judging that a frequency band filter channel corresponding to the second comparison signal is won;
step 2.5: and judging whether an uncompared frequency band filter channel exists, if so, setting the filtering output signal of the frequency band filter channel which is judged to be surpassed as a first comparison signal, returning to the step 2.2, and if not, transmitting the filtering output signal of the frequency band filter channel which is judged to be surpassed as a final filtering processed detection signal to the discharge detection equipment.
A frequency band self-adaptive filtering device for partial discharge detection comprises a plurality of different frequency band filter channels and a channel selection module; the input end of the frequency band filter channel receives a partial discharge original signal, the output end of the frequency band filter channel is connected with the detection end of the discharge detection device, the frequency band filter channel is controlled to be connected to the channel selection module, the channel selection module can select a frequency band filter channel filtering output signal with a large signal-to-noise ratio, and the selected filtering output signal is used as a final filtering processing detection signal and then transmitted to the discharge detection device.
Further, the channel selection module comprises a signal-to-noise ratio difference value arithmetic unit, a threshold comparator, two peak value retainers and a plurality of logic switches; the plurality of logic switches correspond to the plurality of frequency band filter channels one by one, and the output ends of the plurality of frequency band filter channels are respectively connected with the detection end of the discharge detection equipment through the plurality of logic switches; the input ends of the two peak value holders are connected with the output end of the frequency band filter channel in a program control exchange mode, the output ends of the two peak value holders are respectively connected with the two input ends of the signal-to-noise ratio difference calculator, the output end of the signal-to-noise ratio difference calculator is connected with one input end of the threshold comparator, the other input end of the threshold comparator inputs a fixed value which is a judgment threshold, and the output end of the threshold comparator is connected with the control ends of the logic switches in a program control exchange mode.
Furthermore, a signal amplification module is arranged in front of the input end of the adaptive filtering device, and the partial discharge original signal is amplified by the signal amplification module and then input into the adaptive filtering device for filtering.
In the self-adaptive filtering method, a plurality of different frequency band filter channels and a channel selection module are used for filtering the original partial discharge signal, the channel selection module can automatically compare the signal-to-noise ratio of the output signal after filtering by each frequency band filter channel, and the output signal of the frequency band filter channel with the largest signal-to-noise ratio is automatically selected according to the comparison condition to be used as the final detection signal after filtering processing and transmitted to the discharge detection equipment, so that the local discharge signal is filtered by adaptively selecting the optimal frequency band filter channel, the optimal filtering effect is further realized, and the filtering frequency band can be divided into more fine filtering frequency bands without manual participation because the filtering frequency band is automatically selected, great manpower is not required while the better filtering effect is realized, and the working efficiency is also improved. The self-adaptive filtering device is provided with a plurality of frequency band filter channels and a channel selection module, so that the self-adaptive filtering method can be matched to realize the multi-channel filtering of the original local discharge signals, and the frequency band filter channel filtering output signals with high signal-to-noise ratio are selected according to the comparison result of the signal-to-noise ratio to serve as the detection signals after final filtering processing and transmitted to the discharge detection equipment, thereby realizing the effect of adaptively selecting the optimal filtering frequency band to filter the local discharge signals.
Drawings
Fig. 1 is an electrical schematic diagram of a frequency band adaptive filter device for partial discharge detection according to the present invention;
FIG. 2 is an electrical schematic diagram of the channel selection module comparing and selecting the signal-to-noise ratio of the channel of the band filter;
FIG. 3 is a flow chart of a frequency band adaptive filtering method for partial discharge detection according to the present invention;
fig. 4 is a flow chart of the channel selection module performing signal-to-noise ratio comparison and selecting a filtered output signal.
In the figure: the device comprises a 100-adaptive filtering device, a 110-frequency band filter channel, a 112-peak value retainer, a 120-channel selection module, a 121-signal-to-noise ratio difference value arithmetic unit, a 122-threshold comparator, a 123-logic switch, a 2-signal amplification module and a 4-discharge detection device.
Detailed Description
The invention will be further described with reference to the following figures and specific examples:
the background of the embodiment is a work site for performing inspection and maintenance on electric power equipment.
The embodiment provides a frequency band adaptive filtering method for partial discharge detection, which automatically selects a frequency band filter channel 110 with the optimal filtering effect to filter and remove a noise signal from a partial discharge original signal, and then inputs the filtered and noise-removed signal into a discharge detection device 4 to perform partial discharge detection.
Referring to fig. 1 and 3, the adaptive filtering method of the present embodiment includes:
step 1: and setting a plurality of different frequency band filter channels 110, and inputting the partial discharge original signal into the plurality of different frequency band filter channels 110 for filtering.
Step 2: a channel selection module 120 is provided, and the channel selection module 120 compares the signal-to-noise ratios of the filtered output signals of the plurality of different frequency band filter channels 110 and selects the filtered output signal with a large signal-to-noise ratio as a final filtered detection signal to be transmitted to the discharge detection device 4.
Referring to fig. 2 and 4, the step 2 includes:
step 2.1: an undivided band filter channel 110 is selected, the filtered output signal of which is set as the first comparison signal.
Step 2.2: an undivided band filter channel 110 is selected, which band filter channel filtered output signal is set as the second comparison signal.
Step 2.3: a difference between the signal-to-noise ratio of the first contrast signal minus the signal-to-noise ratio of the second contrast signal is calculated.
Step 2.4: setting a judgment threshold, judging whether the difference is larger than the judgment threshold, if so, judging that the frequency band filter channel 110 corresponding to the first comparison signal wins, and if not, judging that the frequency band filter channel 110 corresponding to the second comparison signal wins.
Step 2.5: and judging whether an uncompared frequency band filter channel 110 exists, if so, setting the filtering output signal of the frequency band filter channel 110 which is judged to be surpassed as a first comparison signal, returning to the step 2.2, and if not, transmitting the filtering output signal of the frequency band filter channel 110 which is judged to be surpassed as a final filtering processed detection signal to the discharge detection device 4.
In the adaptive filtering method of the present embodiment, the plurality of different band filter channels 110 and the channel selection module 120 are used to filter the original local discharge signal, the channel selection module 120 can automatically compare the signal-to-noise ratio of the output signal filtered by each band filter channel 110, the output signal of the band filter channel 110 with the largest signal-to-noise ratio is automatically selected according to the comparison condition to be used as the final filtered detection signal to be transmitted to the discharge detection device 4, the filtering method of the embodiment can adaptively select the optimal band filter channel 110 to filter the local discharge signal, thereby realizing the best filtering effect, and because the filtering frequency band is automatically selected without manual participation, the filtering frequency band can be divided into more detailed bands, the better filtering effect is realized, and meanwhile, great manpower is not needed to be paid, so that the working efficiency is also improved.
The present embodiment further provides a frequency band adaptive filtering apparatus for partial discharge detection, where the adaptive filtering apparatus 100 is an apparatus for implementing the adaptive filtering method.
Referring to fig. 1, the adaptive filtering apparatus 100 includes a plurality of different frequency band filter channels 110 and a channel selection module 120; the input end of the band filter channel 110 receives the original signal of partial discharge, the output end of the band filter channel 110 is connected with the detection end of the discharge detection device 4, the band filter channel 110 is controlled to be connected to the channel selection module 120, the channel selection module 120 can select the band filter channel filtering output signal with a large signal-to-noise ratio, and the selected filtering output signal is used as a final filtering processing detection signal to be transmitted to the discharge detection device 4.
With respect to fig. 2, it should be noted that only two band filter channels 110 are shown in fig. 2, but actually, there are not more than two band filter channels 110, and fig. 2 is a schematic diagram for explaining a problem, that is, an electrical schematic diagram for comparing and selecting signal-to-noise ratios of the two band filter channels 110.
Referring to fig. 2, more specifically, the channel selection module 120 includes a signal-to-noise ratio difference operator 121, a threshold comparator 122, two peak holders 112, and several logic switches 123; the plurality of logic switches 123 correspond to the plurality of frequency band filter channels 110 one to one, and the output ends of the plurality of frequency band filter channels 110 are connected with the detection end of the discharge detection device 4 through the plurality of logic switches 123, so that the output signals of the frequency band filter channels 110 can be switched as required; the input ends of the two peak value holders 112 are connected with the output end of the frequency band filter channel 110 through a program control exchange mode, and the output ends of the two peak value holders 112 are respectively connected with the two input ends of the signal-to-noise ratio difference calculator 121; the output end of the signal-to-noise ratio difference operator 121 is connected to one input end of the threshold comparator 122, the other input end of the threshold comparator 122 inputs a fixed value, the fixed value is a decision threshold, and the output end of the threshold comparator 122 is connected to the control ends of the plurality of logic switches 123 through a program control exchange manner.
The filtered signal output from the band filter channel 110 passes through the peak value holder 112 and then enters the signal-to-noise ratio difference calculator 121 for difference calculation, and the peak value holder 112 is used for holding the maximum peak value of "maximum signal amplitude/signal absolute average value", so that the contingency of instantaneous signal change can be avoided, and the calculation accuracy of the signal-to-noise ratio difference calculator 121 is ensured.
The channel selection module 120 is an electrical module controlled by a program, and the program exchange mode is that the specific connection between the input terminals of the two peak value holders 112 and the output terminals of the two band filter channels 110 can be set by a program, that is, the specific calculation object of the signal-to-noise ratio difference calculator 121 can be selected by a program, and similarly, the connection between the output terminal of the threshold comparator 122 and the control terminal of the logic switch 123 is also controlled by a program. Specifically, when any two frequency band filter channels 110 need to be compared, the input ends of two peak value holders 112 are controlled by a program to be connected with the output ends of the two frequency band filter channels 110, and the output end of a control threshold comparator 122 is connected with the control ends of two logic switches 123 corresponding to the two frequency band filter channels 110, after the computation and comparison of the signal-to-noise ratio difference calculator 121 and the threshold comparator 122 are completed, if the other frequency band filter channels 110 need to be compared again, the input ends of two peak value holders 112 are controlled by a program to be connected with the output ends of the other frequency band filter channels 110, and the output end of the control switching threshold comparator 122 is connected with the control ends of the logic switches 123 corresponding to the other frequency band filter channels 110, thereby implementing the program-controlled switching manner. The program control described here is not limited to a software program, and may be a logic control circuit having a time-series change, or a combination of both.
Referring to fig. 2, fig. 2 is an electrical schematic diagram of comparing and selecting signal-to-noise ratios of two band filter channels 110, wherein one band filter channel 110 is an ith band filter channel, and the other band filter channel 110 is an i +1 th band filter channel. When the filtered output signals of the ith and (i + 1) th two different frequency band filter channels 110 need to be compared, the input ends of the two peak value holders 112 can be respectively connected with the output ends of the two different frequency band filter channels 110 through program setting, the output end of the threshold value comparator 122 is simultaneously connected with the control end of the logic switch 123 correspondingly connected with the two frequency band filter channels 110 through program setting, thus forming an independent comparison circuit aiming at the two frequency band filter channels 110, the signal-to-noise ratio difference value calculator 121 firstly carries out signal-to-noise ratio difference value operation on the output peak value signals of the two frequency band filter channels 110, the difference value result obtained after the operation is transmitted to the threshold value comparator 122 to be compared with the decision threshold value, if the difference value is greater than the decision threshold value, the ith frequency band filter channel 110 is considered to be surpassed, the ith frequency band filter channel 110 enters the subsequent comparison process, the threshold comparator 122 outputs a high level 1, the high level 1 is transmitted to the control end of the logic switch 123 corresponding to the ith band filter channel 110, the logic switch 123 is controlled to be turned on, otherwise, the (i + 1) th band filter channel 110 is considered to be surpassed, the (i + 1) th band filter channel 110 enters the subsequent comparison process, the threshold comparator 122 outputs a low level 0, the low level 0 is transmitted to the control end of the logic switch 123 corresponding to the (i + 1) th band filter channel 110 after being reversed, and the logic switch 123 is controlled to be turned on, thereby completing one selection of the band filter channel 110. After the comparison process, the filtering output signals of all the band filter channels 110 are compared once, and finally the optimal band filter channel 110 can be obtained in a self-adaptive manner, only the logic switch 123 corresponding to the optimal band filter channel 110 obtained finally is in an open state, and the other logic switches 123 are in a closed state, that is, only the filtering output signal of the band filter channel 110 is finally input to the detection end of the discharge detection device 4.
Referring to fig. 1, optimally, in order to make the partial discharge original signal have sufficient power, a signal amplification module 2 is usually further disposed before the adaptive filtering apparatus 100, the signal amplification module 2 is a wide-band amplification module, and the partial discharge signal is amplified by the signal amplification module 2 and then enters the adaptive filtering apparatus 100 for filtering.
The plurality of band filter channels 110 are arranged in the adaptive filtering device 100 of the present embodiment, so as to implement multi-channel filtering of the original local discharge signal, and the channel selection module 120 arranged in the adaptive filtering device 100 of the present embodiment can select a band filter channel filtering output signal with a large signal-to-noise ratio as a final filtering processed detection signal to transmit to the discharge detection device 4 according to a comparison result of the signal-to-noise ratio, so as to implement an effect of adaptively selecting an optimal filtering band to filter the local discharge signal.
A specific example of the adaptive filtering method implemented by the adaptive filtering apparatus 100 of this embodiment is provided as follows:
see fig. 1 and 3.
Step 1: the adaptive filtering apparatus 100 is provided with a plurality of different frequency band filter channels 110, and the partial discharge original signal is input into the plurality of different frequency band filter channels 110 in the adaptive filtering apparatus 100 for filtering.
Step 2: the channel selection module 120 in the adaptive filtering apparatus 100 compares the signal-to-noise ratios of the filtered output signals of the plurality of different frequency band filter channels 110, and selects the filtered output signal with a large signal-to-noise ratio as a final filtered detection signal to be transmitted to the discharge detection device 4.
Referring to fig. 2 and 4, more specifically, the step 2 includes:
step 2.1: an undirected band filter channel 110 is selected and the filtered output signal of this band filter channel 110 is set as the first comparison signal.
Step 2.2: an undirected band filter channel 110 is selected and the filtered output signal of the band filter channel 110 is set as the second comparison signal.
Step 2.3: the first and second comparison signals are respectively inputted to the signal-to-noise ratio difference calculator 121 after passing through the peak value holder 112, and the signal-to-noise ratio difference calculator 121 calculates a difference between the signal-to-noise ratio of the first comparison signal and the signal-to-noise ratio of the second comparison signal.
Step 2.4: setting a decision threshold, inputting the decision threshold into one input end of a threshold comparator 122, inputting the difference calculated by a signal-to-noise ratio difference operator 121 into the other input end of the threshold comparator 122, judging whether the difference is greater than the decision threshold by the threshold comparator 122, if so, judging that the frequency band filter channel 110 corresponding to the first comparison signal wins, outputting a high level 1 by the threshold comparator 122, controlling a logic switch 123 corresponding to the first comparison signal to be opened by the high level 1, otherwise, judging that the frequency band filter channel 110 corresponding to the second comparison signal wins, outputting a low level 0 by the threshold comparator 122, and controlling a logic switch 123 corresponding to the second comparison signal to be opened by the low level 0.
Step 2.5: and judging whether an uncompared frequency band filter channel 110 exists, if so, setting the filtering output signal of the frequency band filter channel 110 which is judged to be surpassed as a first comparison signal, returning to the step 2.2, otherwise, transmitting the filtering output signal of the frequency band filter channel 110 which is judged to be surpassed as a final filtering processed detection signal to the discharge detection device 4, namely, keeping the logic switch 123 which is controlled to be opened finally unchanged, wherein the output signal of the frequency band filter channel 110 is a filtering output signal with the maximum signal-to-noise ratio.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. A frequency band adaptive filtering method for partial discharge detection is characterized in that: the method comprises the following steps:
step 1: setting a plurality of different frequency band filter channels, and inputting the original partial discharge signals into the different frequency band filter channels for filtering;
step 2: and a channel selection module is arranged, and the channel selection module compares the signal-to-noise ratios of the filtering output signals of the filter channels of the different frequency bands and selects the filtering output signal with a large signal-to-noise ratio as a final filtering processed detection signal and transmits the final filtering processed detection signal to the discharge detection equipment.
2. The frequency band adaptive filtering method for partial discharge detection according to claim 1, wherein: the step 2 comprises the following steps:
step 2.1: selecting an uncompared frequency band filter channel, and setting a filter output signal of the frequency band filter channel as a first comparison signal;
step 2.2: selecting an uncompared frequency band filter channel, and setting a filter output signal of the frequency band filter channel as a second comparison signal;
step 2.3: calculating a difference between the signal-to-noise ratio of the first contrast signal minus the signal-to-noise ratio of the second contrast signal;
step 2.4: setting a judgment threshold, judging whether the difference value is larger than the judgment threshold, if so, judging that a frequency band filter channel corresponding to the first comparison signal is won, and if not, judging that a frequency band filter channel corresponding to the second comparison signal is won;
step 2.5: and judging whether an uncompared frequency band filter channel exists, if so, setting the filtering output signal of the frequency band filter channel which is judged to be surpassed as a first comparison signal, returning to the step 2.2, and if not, transmitting the filtering output signal of the frequency band filter channel which is judged to be surpassed as a final filtering processed detection signal to the discharge detection equipment.
3. A frequency band adaptive filtering device for partial discharge detection is characterized in that: the adaptive filtering device (100) comprises a plurality of different frequency band filter channels (110) and a channel selection module (120); the input of frequency band filter passageway (110) receives the original signal of partial discharge, and the output of frequency band filter passageway (110) is connected with the sense terminal of discharge detection equipment (4), frequency band filter passageway (110) controlled connection is in passageway selection module (120), and frequency band filter passageway filtering output signal that the SNR is big can be selected in passageway selection module (120) to the filtering output signal who will select gives discharge detection equipment (4) as final filtering processing back detected signal transmission.
4. The band adaptive filtering apparatus for partial discharge detection according to claim 3, wherein: the channel selection module (120) comprises a signal-to-noise ratio difference value arithmetic unit (121), a threshold value comparator (122), two peak value holders (112) and a plurality of logic switches (123);
the plurality of logic switches (123) correspond to the plurality of frequency band filter channels (110) one by one, and the output ends of the plurality of frequency band filter channels (110) are respectively connected with the detection end of the discharge detection equipment (4) through the plurality of logic switches (123);
the input ends of the two peak value holders (112) are connected with the output end of the frequency band filter channel (110) in a program control exchange mode, the output ends of the two peak value holders (112) are respectively connected with the two input ends of the signal-to-noise ratio difference arithmetic unit (121), the output end of the signal-to-noise ratio difference arithmetic unit (121) is connected with one input end of the threshold comparator (122), the other input end of the threshold comparator (122) inputs a fixed value, the fixed value is a judgment threshold, and the output end of the threshold comparator (122) is connected with the control ends of the logic switches (123) in the program control exchange mode.
5. The band adaptive filtering apparatus for partial discharge detection according to claim 3, wherein: a signal amplification module (2) is arranged in front of the input end of the adaptive filtering device (100), and the partial discharge original signal is amplified by the signal amplification module (2) and then input into the adaptive filtering device (100) for filtering.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010686865.3A CN113945817A (en) | 2020-07-16 | 2020-07-16 | Frequency band adaptive filtering method and device for partial discharge detection |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010686865.3A CN113945817A (en) | 2020-07-16 | 2020-07-16 | Frequency band adaptive filtering method and device for partial discharge detection |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113945817A true CN113945817A (en) | 2022-01-18 |
Family
ID=79326358
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010686865.3A Pending CN113945817A (en) | 2020-07-16 | 2020-07-16 | Frequency band adaptive filtering method and device for partial discharge detection |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113945817A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009013640A1 (en) * | 2007-07-26 | 2009-01-29 | Techimp Technologies S.A. | Instrument and a method for detecting partial electrical discharges occurring in an electric apparatus |
| CN202940793U (en) * | 2012-10-31 | 2013-05-15 | 河北德海电子科技有限公司 | Frequency synthesizer |
| CN203465376U (en) * | 2011-07-11 | 2014-03-05 | 云南电力试验研究院(集团)有限公司 | Electric power-used adaptive frequency-selection impedance partial discharge detector |
| CN104865511A (en) * | 2015-06-23 | 2015-08-26 | 国家电网公司 | Partial discharge detection device |
| CN204832421U (en) * | 2015-06-04 | 2015-12-02 | 江苏国电南自海吉科技有限公司 | It takes electric detection means to put based on pulse wide band hyperfrequency office |
| CN205643611U (en) * | 2016-04-29 | 2016-10-12 | 广州供电局有限公司 | Electrical equipment partial discharge detector of transformer substation device |
| CN106130506A (en) * | 2016-06-13 | 2016-11-16 | 国网上海市电力公司 | A kind of band pass filter means being put on-line monitoring by remote control frequency-selecting enforcement office |
| CN207636697U (en) * | 2017-12-12 | 2018-07-20 | 上海莫克电子技术有限公司 | A kind of hand-hold GIS partial discharge tester and partial discharge testing system that frequency range is changeable |
-
2020
- 2020-07-16 CN CN202010686865.3A patent/CN113945817A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009013640A1 (en) * | 2007-07-26 | 2009-01-29 | Techimp Technologies S.A. | Instrument and a method for detecting partial electrical discharges occurring in an electric apparatus |
| CN203465376U (en) * | 2011-07-11 | 2014-03-05 | 云南电力试验研究院(集团)有限公司 | Electric power-used adaptive frequency-selection impedance partial discharge detector |
| CN202940793U (en) * | 2012-10-31 | 2013-05-15 | 河北德海电子科技有限公司 | Frequency synthesizer |
| CN204832421U (en) * | 2015-06-04 | 2015-12-02 | 江苏国电南自海吉科技有限公司 | It takes electric detection means to put based on pulse wide band hyperfrequency office |
| CN104865511A (en) * | 2015-06-23 | 2015-08-26 | 国家电网公司 | Partial discharge detection device |
| CN205643611U (en) * | 2016-04-29 | 2016-10-12 | 广州供电局有限公司 | Electrical equipment partial discharge detector of transformer substation device |
| CN106130506A (en) * | 2016-06-13 | 2016-11-16 | 国网上海市电力公司 | A kind of band pass filter means being put on-line monitoring by remote control frequency-selecting enforcement office |
| CN207636697U (en) * | 2017-12-12 | 2018-07-20 | 上海莫克电子技术有限公司 | A kind of hand-hold GIS partial discharge tester and partial discharge testing system that frequency range is changeable |
Non-Patent Citations (1)
| Title |
|---|
| 李成榕等: "GIS局部放电的超声波检测频带试验研究", 《南方电网技术》, vol. 1, no. 1, 31 October 2007 (2007-10-31), pages 41 - 45 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR100968519B1 (en) | Apparatus for noise gating from partial discharge and detecting partial discharge area of powr equipment | |
| CN106912069B (en) | Distributed antenna system remote terminal and uplink signal link detection method and device thereof | |
| CN103713245A (en) | XLPE cable partial discharge on-line monitoring system | |
| CN101852836B (en) | System of detecting partial discharge in equipment | |
| CN103712551A (en) | Power distribution network transformer low-voltage winding deformation on-line monitoring device and method | |
| CN106842013A (en) | The live detection method and device of the contact of breaker ablation degree based on electromagnetic wave | |
| CN105451256A (en) | Method and device for monitoring indoor distribution system | |
| EP2819270A1 (en) | Network overseeing device and network overseeing method | |
| CN102480273A (en) | Device and method for realizing output power control of power amplifier | |
| CN104683046A (en) | Method and system for testing electronic magnetic interference susceptibility of analog receiver | |
| CN113945817A (en) | Frequency band adaptive filtering method and device for partial discharge detection | |
| CN108419263B (en) | Indoor distributed communication system monitoring device and monitoring method | |
| CN106597090B (en) | Electric energy data acquisition system based on wireless network transmission and working method thereof | |
| CN106908654A (en) | A kind of polarization-depolarization current measuring system | |
| CN112255571A (en) | Earth fault detection system with neutral point indirectly grounded | |
| CN108075846A (en) | A kind of base station interference detection method and device | |
| CN203608207U (en) | Analog receiver electromagnetic interference sensitivity testing system | |
| CN208028887U (en) | Distributed access systems and its radio-frequency cable detection device | |
| CN114384119B (en) | Method and device for detecting dew point of compressed air in steel plant | |
| CN211858122U (en) | Partial discharge online monitoring system for automatically detecting frequency bands of mobile phones and switching channels | |
| CN106358280A (en) | Noise floor level reduction device and noise floor level reduction method | |
| CN105933079A (en) | Detection system and detection method for communication performance of carrier signals with different frequencies | |
| CN106788513B (en) | Binary channels self-identifying fixed ampllitude receiver | |
| CN105207847A (en) | Ethernet test system | |
| CN110940903A (en) | Intelligent judgment processing method for GIS partial discharge monitoring signal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |