CN102353877A - Partial discharge detection method for realizing phase resolved partial discharge (PRPD) pattern and time resolved partial discharge (TRPD) pattern - Google Patents
Partial discharge detection method for realizing phase resolved partial discharge (PRPD) pattern and time resolved partial discharge (TRPD) pattern Download PDFInfo
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Abstract
The invention provides a partial discharge detection method for realizing a phase resolved partial discharge (PRPD) pattern and a time resolved partial discharge (TRPD) pattern. The partial discharge detection method is used for monitoring and diagnosing insulation of high-voltage power equipment and is characterized in that: partial discharge signals of various sets of power equipment can be detected through a digital memory scope and a computer as well as a data processing module of a virtual instrument running in the computer; a detection mode comprises a peak value detection mode facing the PRPD pattern and a quick frame fragmentation mode facing the TRPD pattern; detection results can be displayed on a display of the computer through the two PD patterns; therefore, the partial discharge detection results can be analyzed conveniently.
Description
Technical field
The present invention relates to a kind of detection method for local discharge, especially a kind of detection method for local discharge that is used for high voltage electric power equip ment insulating monitoring and diagnosis.
Background technology
Shelf depreciation as a kind of important means of high voltage electric power equip ment insulating monitoring and diagnosis, is extensively promoted and is used in electric system at present.Partial discharge detecting system based on several different methods is developed, and its function develops into from the measurement of simple shelf depreciation apparent charge can carry out electric discharge type identification, and Premium Features are waited in the discharge location.Commercial at present partial discharge detecting system includes off-line checking system and online detection and monitoring system.A plurality of sensors and data acquisition unit need be installed by general partial discharge monitoring system on a power equipment; Then the data of gathering are sent to background server and carry out analytical calculation; System cost is very high, and based on this reason, the Portable PD On-Line detection system is able to exploitation.The characteristics of Portable PD On-Line detection system are easy to carry, as required can on-the-spot interim the installation.Thereby realize the detection of a cover system, reduce cost a plurality of power equipments.But the Portable PD On-Line detection system of using at present receives the restriction of its system architecture, only designs to a certain type of power equipment mostly, and different power equipments is needed the different detection system.Simultaneously present Portable PD On-Line detection system is generally digital, and mainly by the signal coupling unit, data acquisition unit and data processing and display unit constitute.Data acquisition unit generally uses the certain data collecting card of sampling rate.Its selected sampling rate defines the method for its application; Such as a certain Portable PD On-Line detection system sampling rate is that 1M Samp/s then limits the detection method for local discharge that this detection system can only be applied to meet the IEC60270 standard, can not detect ultra-high frequency signal.And if the sampling rate of detection system is defined as several Giga Samp/s, this detection system generally is not used for the apparent charge amount of direct measure local discharge.In addition, its reading of general partial discharge detecting system and Presentation Function realize that by the display module of each producer's stand-alone development the construction cycle is long, and just are difficult to change in case come into operation.
Summary of the invention
The detection method for local discharge that the purpose of this invention is to provide a kind of PRPD of realization and TRPD collection of illustrative plates; This method reaches the virtual instrument data processing module of operation above that based on digital storage oscilloscope and computing machine; Overcome the deficiency of existing most of Portable PD On-Line detection systems; Realized to a plurality of power equipments, used the Partial Discharge Detection of several different methods, and provided support for insulation diagnosis.
In order to realize the foregoing invention purpose, the invention provides the detection method for local discharge of a kind of PRPD of realization and TRPD collection of illustrative plates, it comprises the following steps:
According to different Partial Discharge Sources; The local discharge signal coupling unit that adapts with it is installed; The virtual instrument data processing module that adopts a computing machine then and move is above that controlled digital storage oscilloscope entering peak value detecting pattern or the fast frame fragmentation schema carries out data acquisition to the shelf depreciation coupled signal: under the peak value detecting pattern; Said digital storage oscilloscope carries out data acquisition to the shelf depreciation coupled signal and transmits it to said virtual instrument data processing module the data that collect are handled, and after the virtual instrument data processing module is handled, on graphoscope, is shown as based on phase-resolved shelf depreciation collection of illustrative plates (PRPD collection of illustrative plates: Phase Resolved Partial Discharge Pattern); Under the fast frame fragmentation schema; Said digital storage oscilloscope carries out data acquisition to the shelf depreciation coupled signal; And transmit it to said virtual instrument data processing module the data that collect are handled,, the virtual instrument data processing module on graphoscope, is shown as after handling based on time-resolved shelf depreciation collection of illustrative plates (TRPD collection of illustrative plates: Time Resolved Partial Discharge Pattern).
Under the peak value detecting pattern, said shelf depreciation coupled signal is the shelf depreciation coupled signal through pre-process, and its signal frequency is distributed in below the 500KHz, signal peak and the proportional relation of apparent charge amount.
Under the peak value detecting pattern, said shelf depreciation coupled signal is the envelope signal of single partial discharge pulse signal or high-frequency signal.
Under the peak value detecting pattern, the data of said digital storage oscilloscope collection are the sampling fragment of said shelf depreciation coupled signal and synchronizing voltage (or be called measurement object added high voltage).
Under the peak value detecting pattern; Said digital storage oscilloscope is gathered the peak value of shelf depreciation coupled signal; Said peak value comprises maximal value and minimum value; Acquisition method is: the peak value of said digital storage oscilloscope is set at the pulse response time less than the shelf depreciation coupled signal detection time, notes maximal value and minimum value at peak value impulse response waveform of shelf depreciation coupled signal in detection time then, adopt one to define length window and begin to slide from the slice header of institute's image data; Surpass the triggering threshold that presets when detecting certain numerical value, the maximal value and the minimum value of the data set in the said window just go on record.
Under the peak value detecting pattern; The peak value of the shelf depreciation coupled signal that said virtual instrument data processing module collects according to digital storage oscilloscope calculates the amplitude and the phase angle of shelf depreciation coupled signal, on graphoscope, is shown as then based on phase-resolved shelf depreciation collection of illustrative plates.
Under the fast frame fragmentation schema, said shelf depreciation coupled signal is a plurality of partial discharge pulses signals.
Under the fast frame fragmentation schema, the data of said digital storage oscilloscope collection are the impulse response waveform of said shelf depreciation coupled signal.
Under the fast frame fragmentation schema; Behind the impulse response waveform process wavelet de-noising of said virtual instrument data processing module with the digital storage oscilloscope collection; Adopt time frequency analysis to extract the time-frequency characteristics parameter group of signal; Adopt fuzzy algorithm that the characteristic parameter group of extracting is carried out cluster analysis then; Offer an explanation out the shelf depreciation coupled signal of undesired signal and different Partial Discharge Sources, adopt statistical method to discern based on time-resolved shelf depreciation collection of illustrative plates again, be presented on the graphoscope then single.
The present invention is owing to adopted above technical scheme; It compared with prior art; Can change data sampling rate as required; Run under two kinds of measurement patterns of peak value detecting pattern and fast frame fragmentation schema, realize single application or the Combined application of same detection system to multiple detection method for local discharge, same detection system is to the detection of multiple power equipment shelf depreciation.Adopt detection method for local discharge of the present invention can make up the hardware architecture of measuring system fast, and dependable performance, testing process are convenient.
Description of drawings
Come the detection method for local discharge of PRPD of realization of the present invention and TRPD collection of illustrative plates is further specified below in conjunction with accompanying drawing and specific embodiment.
Fig. 1 is the hardware block diagram that detection method for local discharge adopted of PRPD of realization of the present invention and TRPD collection of illustrative plates.
The structured flowchart of the virtual instrument data processing module that is adopted in the detection method for local discharge of Fig. 2 for PRPD of realization of the present invention and TRPD collection of illustrative plates.
Fig. 3 is a detection method for local discharge process flow diagram of realizing PRPD and TRPD collection of illustrative plates of the present invention.
Fig. 4 has shown the shelf depreciation response impulse that digital storage oscilloscope is caught under the peak value detecting pattern.
Fig. 5 has shown the shelf depreciation apparent charge and the phasing degree of using window setting technique to measure.
Fig. 6 has shown the PRPD collection of illustrative plates of the creeping discharge that certain is once measured.
Fig. 7 has shown that a plurality of offices that digital storage oscilloscope catches put response impulse under the fast frame fragmentation schema.
Fig. 8 is the FB(flow block) of digital storage oscilloscope Data Post under the fast frame fragmentation schema.
Fig. 9 measures the electrical block diagram of three kinds of shelf depreciation collection of illustrative plates for adopting partial discharge detecting system.
The insulation internal discharge PRPD collection of illustrative plates of Figure 10 for adopting circuit shown in Figure 9 to record.
The creeping discharge PRPD collection of illustrative plates of Figure 11 for adopting circuit shown in Figure 9 to record.
The corona discharge PRPD collection of illustrative plates of Figure 12 for adopting circuit shown in Figure 9 to record.
Figure 13 has shown that the non-classified TRPD collection of illustrative plates of response impulse is put in a plurality of offices under the fast frame fragmentation schema.
Figure 14 has shown under the fast frame fragmentation schema, puts the TRPD collection of illustrative plates of response impulse through a plurality of offices of classification.
Embodiment
As shown in Figure 1; The PRPD of realization of the present invention adopts the signal coupling unit that adapts with it with the detection method for local discharge of TRPD collection of illustrative plates according to different discharge source; And adopt digital storage oscilloscope to be connected with it, adopt the virtual instrument data processing module of a computing machine and operation above that to be connected with digital storage oscilloscope.
The input channel of the digital storage oscilloscope in the present embodiment is 4 sampling channels, can sample simultaneously at most 3 portion of road bureau discharge signals and one tunnel synchronizing signal, storer on the 1Mpts plate.Its frequency range is the 1GHz analog bandwidth; Contain (20or 250) MHz hardware low pass filter; Input reference signal is ± 5mV is to ± 50V; 8 bit resolutions can connect multiple existing process or without the coupled signal of the shelf depreciation coupling unit of pre-process, as meet the IEC60270 standard the broadband local discharge signal (≤500kHz), high-frequency signal (≤10MHz), very high frequency circuit (≤200MHz), ultra-high frequency signal (≤1GHz); Data sampling rate can be set (the real-time sampling rate can be up to 4GS/s, the 1GHz analog bandwidth) according to the frequency range adjustment of input signal.The data acquisition scheme of this digital storage oscilloscope is divided into the peak value detecting pattern (towards the collection of PRPD collection of illustrative plates under the control of virtual instrument data processing module; Can be applicable to meet the local discharge signal analysis of IEC60270 standard) and the fast frame fragmentation schema (towards the collection of TRPD collection of illustrative plates; This moment, digital storage oscillograph was triggered by partial discharge pulse's signal itself); Wherein the peak value detecting pattern is used to measure corresponding peak response voltage of apparent charge and envelope sampling, and the fast frame fragmentation schema is used for catching of single partial discharge pulse signal.The trigger mode of this digital storage oscilloscope comprises multiple triggering modes such as edge triggering and burr triggering, can set optimal mode to catch local discharge signal.The message transmission rate of this digital storage oscilloscope is about 1.5MB/s.
As shown in Figure 2; In the present embodiment; The virtual instrument data processing module comprises system configuration submodule, data acquisition submodule, Data Post submodule and display sub-module; The system configuration submodule is connected with digital storage oscilloscope; Its coupled signal according to the signal coupling unit is controlled said digital storage oscilloscope and is got into peak value detecting pattern or fast frame fragmentation schema, and the data acquisition submodule is connected with digital storage oscilloscope, and its control figure storage oscilloscope carries out the data acquisition of local discharge signal under the peak value detecting pattern of correspondence or fast frame fragmentation schema; The Data Post submodule is connected with digital storage oscilloscope; Data to digital storage oscilloscope collects are carried out aftertreatment, and display sub-module will pass through the data presentation of aftertreatment on the display of computing machine, conveniently detected local discharge signal are analyzed.
As shown in Figure 3; The present technique scheme is according to different Partial Discharge Sources; The local discharge signal coupling unit that adapts with it is installed; The virtual instrument data processing module that adopts a computing machine then and move is above that controlled digital storage oscilloscope entering peak value detecting pattern or the fast frame fragmentation schema carries out data acquisition to the shelf depreciation coupled signal: under the peak value detecting pattern; Said digital storage oscilloscope carries out data acquisition to the shelf depreciation coupled signal and transmits it to said virtual instrument data processing module the data that collect are handled, and after the virtual instrument data processing module is handled, on graphoscope, is shown as the PRPD collection of illustrative plates; Under the fast frame fragmentation schema; Said digital storage oscilloscope carries out data acquisition to the shelf depreciation coupled signal; And transmit it to said virtual instrument data processing module the data that collect are handled,, the virtual instrument data processing module on graphoscope, is shown as the TRPD collection of illustrative plates after handling.
Towards the collection of PRPD collection of illustrative plates, it can be applicable to meet the local discharge signal analysis of IEC60270 standard to digital storage oscilloscope under the peak value detecting pattern.The prerequisite of using this measurement pattern is that the shelf depreciation coupled signal has passed through pre-process, and signal frequency is distributed in below the 500kHz, the peak value of signal and the proportional relation of apparent charge amount, and the peak value detecting pattern also can be gathered the envelope signal of high-frequency signal in addition.The peak value detecting pattern of digital storage oscilloscope is based on peak detection technology in the present technique scheme, and the data that this detecting pattern is gathered down are: the sampling segment that a) contains partial discharge pulse; B) high voltage that measurement object adds (synchronizing voltage).It can adopt elliptical time base also can adopt linear time base.The data that collect are that the corresponding peak value of single discharge pulse with it added high-tension phase place of transient measurement thing takes place; When gathering the peak value of partial discharge pulse; Measure the peak value and the phase place of partial discharge pulse's response with window setting technique; Pass through the Data Post (calculating the amplitude and the phasing degree of partial discharge pulse's signal) of Data Post submodule then, be shown as the PRPD collection of illustrative plates on computers through display sub-module.
For the ease of the present technique scheme is further understood, this paper further explains to peak detection technology and window setting technique:
Peak detection technology: based on the frequency span of shelf depreciation coupling unit, partial discharge pulse's response of input data acquisition unit is the oscillation pulse signal of a decay, and time span is not from waited to several microseconds tens nanoseconds.The maximal value and the minimum value of the at interval interior impulse response waveform of setting-up time that peak value detecting pattern record is adjacent.If peak value detects the time interval of setting less than pulse response time, the response signal testing result of a certain partial discharge pulse is that one group of data is right.Each data is to comprising a maximal value and minimum value (as shown in Figure 4).
Window setting technique: in order to obtain above-mentioned this group data centering maximal value and minimum value relevant with shelf depreciation apparent charge amount.One has defined length window and has begun to slide from the data slice paragraph header of sampling; Surpass the triggering threshold that presets in case detect certain data, the maximal value and the minimum value of the data set in the window are just noted down down the correlative that is used as calculating shelf depreciation apparent charge amount.The length of window is calibrated before measurement of partial discharge, by the response wave shape decision of calibration pulse.The polarity of partial discharge pulse is by the polarity decision of the peak-peak of measuring.The phase angle location index that occurs through peak-peak (as among Fig. 5 17358 for peak-peak in this window appear at the 17358th detection time at interval on, wherein U representes to trigger threshold ,-(U
1+ U
2) expression shelf depreciation amplitude) can calculate the time of this partial discharge pulse's hysteresis synchronizing voltage rising edge zero crossing, and then calculate the phase angle at its place.
The PRPD collection of illustrative plates shows: after its amplitude of partial discharge pulse's calculated signals and phasing degree of collection, show testing result (as shown in Figure 6) through the PRPD collection of illustrative plates.According to the frequency band of measuring-signal distribute available mV, dBm or pC sign amplitude.
Digital storage oscilloscope is the collection towards the TRPD collection of illustrative plates under the fast frame fragmentation schema, and this moment, digital storage oscillograph was triggered by partial discharge pulse's signal itself.Trigger pip can be adjusted through its level height and pulse width are set in advance.Under this pattern; Partial discharge detecting system can and also high speed acquisition partial discharge pulse response wave shape only; Office puts discharge pulse and takes place that instantaneous measured object adds test or high voltage instantaneous value and the generation of each partial discharge pulse in real time is instantaneous, and it fragmented storage is got up.Storer can be preserved Wave data as much as possible on the limited plate of partial discharge detecting system like this, gathers a plurality of partial discharge pulses (as shown in Figure 7,1,2,3 represent three different partial discharge pulses respectively among the figure).The Data Post module is carried out aftertreatment according to step as shown in Figure 8 to the data of gathering: adopt time frequency analysis to extract the time-frequency characteristics parameter group of signal through wavelet de-noising (optional flow process) back the TRPD data of gathering; Adopt fuzzy algorithm that the characteristic parameter group of extracting is carried out cluster analysis then; Offer an explanation out the signal of undesired signal and different Partial Discharge Sources, through statistical method single shelf depreciation collection of illustrative plates is discerned again.
Because under the fast frame fragmentation schema, partial discharge detecting system is not directly gathered synchronous high-voltage signal, so can not directly calculate the phase angle position of partial discharge pulse.Therefore need carry out finding the solution of synchronizing signal, the peak value V that suppose high voltage that measuring body adds measure in short-term in maintenance stablize.I
ThWith i
Th+1The partial discharge pulse of individual seizure is Δ t in the corresponding time interval
i, the phase angle that its corresponding needs are found the solution is α
iAnd α
I+1=α
i+ ω Δ t
i, ω is the power frequency angular frequency, its corresponding transient high voltage of measuring is u
iAnd u
I+1, suppose that power-frequency voltage is a sine wave property, relation below existing between then several amounts:
Can derive residing phasing degree of partial discharge pulse and the added high voltage peak of measuring body by above-mentioned formula:
Fig. 9 has shown that partial discharge detecting system of the present invention is an instance of PRPD figure spectrometry.In this instance, use the partial discharge detecting system 4 of invention to measure three kinds of shelf depreciation collection of illustrative plates.These three kinds of shelf depreciation collection of illustrative plates are produced by the local discharging model 5 of manual work, and artificial local discharging model is respectively insulation air entrapment discharging model, creeping discharge model and corona unit.Use shelf depreciation coupling mechanism (the high pressure coupling capacitance C1 and measurement impedance R1 that contain a 2nF) and high-frequency current transformer U1 as the local discharge signal sensor in the measurement.The indirectly measurement loop is used in the wiring of shelf depreciation coupling mechanism, and High Frequency Current Sensor is used directly measurement loop, measured three kinds of shelf depreciation collection of illustrative plates such as Figure 10, Figure 11 and shown in Figure 12.The insulation internal discharge PRPD collection of illustrative plates of Figure 10 for adopting circuit shown in Figure 9 to record.The creeping discharge PRPD collection of illustrative plates of Figure 11 for adopting circuit shown in Figure 9 to record.The corona discharge PRPD collection of illustrative plates of Figure 12 for adopting circuit shown in Figure 9 to record.
Adopt partial discharge detecting system of the present invention to carry out TRPD figure spectrometry and still adopt circuit as shown in Figure 9.Wherein, use high-frequency current voltage device as the local discharge signal coupling unit.The shelf depreciation collection of illustrative plates is produced by the local discharging model 5 of manual work equally, and it comprises two different insulative internal discharge sources and noise signal thereof, a corona discharge source.Behind the impulse response waveform process wavelet de-noising of virtual instrument data processing module with the digital storage oscilloscope collection; Adopt time frequency analysis to extract the time-frequency characteristics parameter group of signal; Adopt fuzzy algorithm that the characteristic parameter group of extracting is carried out cluster analysis then, offer an explanation out the shelf depreciation coupled signal of undesired signal and different Partial Discharge Sources, adopt statistical method to discern based on time-resolved shelf depreciation collection of illustrative plates again single; Thereby be presented on the graphoscope TRPD collection of illustrative plates of single shelf depreciation coupled signal (shown in figure 14 respectively; 1 expression internal discharge signal, 1,2 expression internal discharge signal, 2,3 expression noises among the figure; 4 expressions are disturbed, 5 expression coronas).Figure 13 has shown the TRPD collection of illustrative plates without a plurality of shelf depreciation coupled signals of crossing Classification and Identification.
Be noted that above enumerate be merely specific embodiment of the present invention, obviously the invention is not restricted to above embodiment, many similar variations are arranged thereupon.If those skilled in the art all should belong to protection scope of the present invention from all distortion that content disclosed by the invention directly derives or associates.
Claims (9)
1. the detection method for local discharge that can realize PRPD and TRPD collection of illustrative plates is characterized in that, comprises the following steps:
According to different Partial Discharge Sources; The local discharge signal coupling unit that adapts with it is installed; The virtual instrument data processing module that adopts a computing machine then and move is above that controlled digital storage oscilloscope entering peak value detecting pattern or the fast frame fragmentation schema carries out data acquisition to the shelf depreciation coupled signal: under the peak value detecting pattern; Said digital storage oscilloscope carries out data acquisition to the shelf depreciation coupled signal and transmits it to said virtual instrument data processing module the data that collect are handled, and after the virtual instrument data processing module is handled, on graphoscope, is shown as based on phase-resolved shelf depreciation collection of illustrative plates; Under the fast frame fragmentation schema; Said digital storage oscilloscope carries out data acquisition to the shelf depreciation coupled signal; And transmit it to said virtual instrument data processing module the data that collect are handled,, the virtual instrument data processing module on graphoscope, is shown as after handling based on time-resolved shelf depreciation collection of illustrative plates.
2. detection method for local discharge as claimed in claim 1; It is characterized in that under the peak value detecting pattern, said shelf depreciation coupled signal is the shelf depreciation coupled signal through pre-process; Its signal frequency is distributed in below the 500KHz, signal peak and the proportional relation of apparent charge amount.
3. detection method for local discharge as claimed in claim 2 is characterized in that, under the peak value detecting pattern, said shelf depreciation coupled signal is the envelope signal of single partial discharge pulse signal or high-frequency signal.
4. detection method for local discharge as claimed in claim 3 is characterized in that, under the peak value detecting pattern, the data of said digital storage oscilloscope collection are the sampling fragment and the synchronizing voltage of said shelf depreciation coupled signal.
5. detection method for local discharge as claimed in claim 4; It is characterized in that; Under the peak value detecting pattern; Said digital storage oscilloscope is gathered the peak value of shelf depreciation coupled signal, and said peak value comprises maximal value and minimum value, and acquisition method is: the peak value of said digital storage oscilloscope is set at the pulse response time less than the shelf depreciation coupled signal detection time; Note maximal value and minimum value then at peak value impulse response waveform of shelf depreciation coupled signal in detection time; Adopt one to define length window and begin to slide from the slice header of institute's image data, surpass the triggering threshold that presets when detecting certain numerical value, the maximal value and the minimum value of the data set in the said window just go on record.
6. detection method for local discharge as claimed in claim 5; It is characterized in that; Under the peak value detecting pattern; The peak value of the shelf depreciation coupled signal that said virtual instrument data processing module collects according to digital storage oscilloscope calculates the amplitude and the phase angle of shelf depreciation coupled signal, on graphoscope, is shown as then based on phase-resolved shelf depreciation collection of illustrative plates.
7. detection method for local discharge as claimed in claim 1 is characterized in that, under the fast frame fragmentation schema, said shelf depreciation coupled signal is a plurality of partial discharge pulses signals.
8. detection method for local discharge as claimed in claim 1 is characterized in that, under the fast frame fragmentation schema, the data of said digital storage oscilloscope collection are the impulse response waveform of said shelf depreciation coupled signal.
9. like any described detection method for local discharge among the claim 1-8; It is characterized in that; Under the fast frame fragmentation schema, behind the impulse response waveform process wavelet de-noising of said virtual instrument data processing module with the digital storage oscilloscope collection, adopt time frequency analysis to extract the time-frequency characteristics parameter group of signal; Adopt fuzzy algorithm that the characteristic parameter group of extracting is carried out cluster analysis then; Offer an explanation out the shelf depreciation coupled signal of undesired signal and different Partial Discharge Sources, adopt statistical method to discern based on time-resolved shelf depreciation collection of illustrative plates again, be presented on the graphoscope then single.
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CN102608502A (en) * | 2012-03-01 | 2012-07-25 | 华北电力大学 | Intelligent ultrahigh frequency local charge sensor |
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1924595A (en) * | 2006-09-20 | 2007-03-07 | 重庆大学 | Virtual instrument technique based gas insulation combined electric appliances online detecting method |
CN201177646Y (en) * | 2008-03-25 | 2009-01-07 | 东南大学 | Partial discharge on-line detection apparatus of portable air insulation combined electrical equipment |
CN101750573A (en) * | 2009-12-07 | 2010-06-23 | 上海市电力公司 | Portable cable local discharge detection device |
US20100241372A1 (en) * | 2007-07-03 | 2010-09-23 | Xi'an Jiaotong University | Online partial discharge monitoring system of generator and method thereof |
CN201673235U (en) * | 2010-06-02 | 2010-12-15 | 上海杰智电工科技有限公司 | Digital local discharge tester |
-
2011
- 2011-06-10 CN CN 201110157180 patent/CN102353877B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1924595A (en) * | 2006-09-20 | 2007-03-07 | 重庆大学 | Virtual instrument technique based gas insulation combined electric appliances online detecting method |
US20100241372A1 (en) * | 2007-07-03 | 2010-09-23 | Xi'an Jiaotong University | Online partial discharge monitoring system of generator and method thereof |
CN201177646Y (en) * | 2008-03-25 | 2009-01-07 | 东南大学 | Partial discharge on-line detection apparatus of portable air insulation combined electrical equipment |
CN101750573A (en) * | 2009-12-07 | 2010-06-23 | 上海市电力公司 | Portable cable local discharge detection device |
CN201673235U (en) * | 2010-06-02 | 2010-12-15 | 上海杰智电工科技有限公司 | Digital local discharge tester |
Cited By (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102608502A (en) * | 2012-03-01 | 2012-07-25 | 华北电力大学 | Intelligent ultrahigh frequency local charge sensor |
CN104160286A (en) * | 2012-03-09 | 2014-11-19 | 阿尔斯通技术有限公司 | Method for recognising partial discharges emitted inside or outside an electrical apparatus |
CN102841297A (en) * | 2012-09-10 | 2012-12-26 | 许昌学院 | Self-adaptive partial-discharge monitoring method and device for sampling frequency |
CN102841297B (en) * | 2012-09-10 | 2015-01-28 | 许昌学院 | Self-adaptive partial-discharge monitoring method and device for sampling frequency |
CN105122072B (en) * | 2013-04-22 | 2018-06-22 | 三菱电机株式会社 | The partial discharge detection method and partial discharge detecting device of power equipment |
CN105122072A (en) * | 2013-04-22 | 2015-12-02 | 三菱电机株式会社 | Partial discharge detection method and partial discharge detection device for electrical appliance |
US10317451B2 (en) | 2013-04-22 | 2019-06-11 | Mitsubishi Electric Corporation | Method and apparatus for detecting partial discharge within electrical equipment |
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CN104569745A (en) * | 2013-10-24 | 2015-04-29 | 国家电网公司 | Partial discharge live detection device and method |
WO2016004687A1 (en) * | 2014-07-07 | 2016-01-14 | 国家电网公司 | Method for distinguishing initial time point of ultra-high-frequency partial discharge signal |
CN105807190A (en) * | 2014-12-29 | 2016-07-27 | 国家电网公司 | GIS partial discharge ultrahigh frequency live-line detection method |
CN109872703B (en) * | 2017-12-01 | 2022-04-15 | Ls产电株式会社 | Display device capable of performing self-diagnosis relating to partial discharge |
CN109872703A (en) * | 2017-12-01 | 2019-06-11 | Ls产电株式会社 | It is able to carry out the display equipment of self diagnosis related with shelf depreciation |
CN108226725A (en) * | 2017-12-29 | 2018-06-29 | 国网北京市电力公司 | Local discharge signal detection method and device |
CN110031733A (en) * | 2019-04-16 | 2019-07-19 | 国网江苏省电力有限公司电力科学研究院 | Detection method for local discharge and system |
CN110286302A (en) * | 2019-06-26 | 2019-09-27 | 全球能源互联网欧洲研究院 | The detection method and detection system of local discharge signal |
CN111178388A (en) * | 2019-12-05 | 2020-05-19 | 上海交通大学 | Partial discharge phase distribution detection method based on NSCT photoelectric fusion atlas |
CN110967603A (en) * | 2019-12-19 | 2020-04-07 | 上海交通大学 | Method for evaluating flashover resistance of electrical material |
CN110967603B (en) * | 2019-12-19 | 2021-06-22 | 上海交通大学 | Method for evaluating flashover resistance of electrical material |
CN111579938A (en) * | 2020-04-14 | 2020-08-25 | 杭州柯林电气股份有限公司 | Multi-sensor-based multi-source partial discharge signal separation method and monitoring system |
CN111579938B (en) * | 2020-04-14 | 2024-03-22 | 杭州柯林电气股份有限公司 | Multisensor-based multisource partial discharge signal separation method and monitoring system |
CN113221615A (en) * | 2020-12-31 | 2021-08-06 | 中国石油化工股份有限公司 | Partial discharge pulse extraction method based on noise reduction clustering |
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