CN110824310A - Partial discharge type judgment method and device - Google Patents
Partial discharge type judgment method and device Download PDFInfo
- Publication number
- CN110824310A CN110824310A CN201911146902.5A CN201911146902A CN110824310A CN 110824310 A CN110824310 A CN 110824310A CN 201911146902 A CN201911146902 A CN 201911146902A CN 110824310 A CN110824310 A CN 110824310A
- Authority
- CN
- China
- Prior art keywords
- partial discharge
- weibull
- interval
- time
- discharge type
- 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
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
- G01R31/1227—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 of components, parts or materials
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Testing Relating To Insulation (AREA)
Abstract
The application relates to a partial discharge type judgment method and a partial discharge type judgment device. The partial discharge type judgment method obtains a plurality of interval delays by obtaining the pulse peak time of an effective partial discharge signal in continuous time and calculating the time interval between two adjacent pulses according to the pulse peak time. And performing statistical analysis on the interval time delay by adopting a Weibull distribution probability density function to obtain a Weibull fitting curve. And then, according to the Weibull fitting curve, acquiring a two-dimensional characteristic interval of the partial discharge signal, thereby judging the type of the partial discharge signal. The partial discharge type judgment method is not influenced by the equipment type, the insulation structure and the propagation path of an application field, and has strong practicability. The partial discharge type judgment method can promote the development of partial discharge field diagnosis of power equipment such as a switch cabinet, gas insulated switchgear and a transformer, improve the accuracy of the insulation condition diagnosis of the power equipment, and improve the working efficiency of defect hidden danger troubleshooting and state maintenance.
Description
Technical Field
The present disclosure relates to the field of partial discharge technologies, and in particular, to a method and an apparatus for determining a partial discharge type.
Background
With the continuous development of power grids, the voltage level of power equipment is continuously improved and the power load is continuously increased. Due to manufacturing, transportation, assembly and long-term operation, it is difficult to avoid insulation defects in compact devices. In addition, with the increase of the equipment access amount, the insulation fault probability of the compact equipment is remarkably increased, which puts higher requirements on the accuracy and the working efficiency of the partial discharge detection.
Partial discharge detection (monitoring) is a real-time effective technical means for examining and diagnosing the insulation state of the power equipment, and plays an irreplaceable role in equipment operation and maintenance. However, the diagnosis for partial discharge at present mostly depends on the discharge amount, the discharge amplitude or the variation trend, and this method is greatly affected by the sensor threshold setting difference, the device internal structure difference, the partial discharge signal propagation path difference and other factors. In addition, most partial discharge pattern recognition methods have a high recognition effect only in a low-noise environment and a small-scale model in a laboratory, but are significantly influenced by the type of equipment, an insulation structure and a propagation path in field application, so that the partial discharge pattern recognition methods are difficult to effectively implement.
Disclosure of Invention
In view of the above, it is necessary to provide a partial discharge determination method and apparatus for solving the problem of poor practical applicability of the conventional partial discharge determination method.
The application provides a partial discharge type judgment method, which comprises the following steps:
acquiring pulse peak value time of an effective partial discharge signal in continuous time, and calculating a time interval between two adjacent pulses according to the pulse peak value time to obtain a plurality of interval time delays;
carrying out statistical analysis on the interval time delay by adopting a Weibull distribution probability density function to obtain a Weibull fitting curve;
acquiring a two-dimensional characteristic interval of the partial discharge signal according to the Weibull fitting curve;
and judging the type of the partial discharge signal according to the two-dimensional characteristic interval.
In one embodiment, the effective partial discharge signal is a partial discharge signal with an envelope peak value exceeding a preset value.
In one embodiment, the pulse peak time is a corresponding time at a maximum of the envelope of the partial discharge signal.
In one embodiment, the weibull distribution probability density function is a two-parameter weibull probability density function.
In one embodiment, the two-parameter Weibull probability density function isWherein, Δ t is the interval delay, k is a Weibull shape parameter, and λ is a Weibull scale parameter.
In one embodiment, the straight line of the weibull fit curve is y ═ mx-c, where y ═ ln (-ln (1-F (Δ t))), mx ═ kln Δ t, and c ═ kln λ.
In one embodiment, the obtaining the two-dimensional characteristic interval of the partial discharge according to the weibull fit curve includes:
acquiring the Weibull shape parameters and the Weibull scale parameters according to the Weibull fitting curve;
and acquiring the two-dimensional characteristic interval of partial discharge according to the Weibull shape parameter and the Weibull scale parameter.
In one embodiment, the obtaining the two-dimensional characteristic interval of the partial discharge according to the weibull shape parameter and the weibull scale parameter includes:
acquiring initial voltages and breakdown voltages of different types of partial discharge;
gradually heating from the initial voltage to the breakdown voltage, and respectively obtaining extreme values of the Weibull shape parameter and the Weibull scale parameter in the heating process;
and generating the two-dimensional characteristic interval according to the extreme value of the Weibull shape parameter and the extreme value of the Weibull scale parameter.
In one embodiment, the two-dimensional feature interval is:
based on the same inventive concept, the present application further provides a partial discharge type determination device, including:
the signal acquisition unit is used for acquiring the pulse peak time of the effective partial discharge signal in continuous time;
the pulse processing unit is electrically connected with the signal acquisition unit and is used for receiving the pulse peak time sent by the signal acquisition unit and calculating the time interval between two adjacent pulses according to the pulse peak time to obtain a plurality of interval time delays; and
and the curve fitting unit is electrically connected with the pulse processing unit and used for receiving the interval time delay sent by the pulse processing unit, performing statistical analysis on the interval time delay by adopting a Weibull distribution probability density function to obtain a Weibull fitting curve, acquiring a two-dimensional characteristic interval of the partial discharge signal according to the Weibull fitting curve, and judging the type of the partial discharge signal according to the two-dimensional characteristic interval.
According to the partial discharge type judgment method, a plurality of interval time delays can be obtained by obtaining the pulse peak time of an effective partial discharge signal in continuous time and calculating the time interval between two adjacent pulses according to the pulse peak time. And carrying out statistical analysis on the interval delay by adopting a Weibull distribution probability density function to obtain a Weibull fitting curve. And then acquiring a two-dimensional characteristic interval of the partial discharge signal according to the Weibull fitting curve so as to judge the type of the partial discharge signal. When the partial discharge type judgment method is applied on site, the method is not influenced by the equipment type, the insulation structure and the propagation path of the application site because only the peak time of the partial discharge signal exceeding the preset value needs to be acquired, and the practicability is high. In addition, the partial discharge type judgment method can realize the judgment of the partial discharge type only through the peak time of the partial discharge signal exceeding the preset value and Weibull fitting, has the advantages of simple algorithm and high efficiency, can promote the development of the partial discharge field diagnosis of the power equipment such as a switch cabinet, Gas Insulated Switchgear (GIS) and a transformer, can improve the accuracy of the insulation condition diagnosis of the power equipment, and improves the working efficiency of defect hidden danger troubleshooting and state maintenance.
Drawings
Fig. 1 is a flowchart of a partial discharge type determination method according to an embodiment of the present disclosure;
fig. 2 is a flowchart of another partial discharge type determination method according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an effective partial discharge signal and a peak pulse time according to an embodiment of the present disclosure;
fig. 4 is a schematic view of a weibull fit curve provided in an embodiment of the present application;
fig. 5 is a method for dividing a two-dimensional feature interval according to an embodiment of the present application.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, embodiments accompanying the present application are described in detail below with reference to the accompanying drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. This application is capable of embodiments in many different forms than those described herein and those skilled in the art will be able to make similar modifications without departing from the spirit of the application and it is therefore not intended to be limited to the embodiments disclosed below.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
It can be understood that the existing partial discharge type judgment method mostly depends on discharge amount, discharge amplitude or variation trend, which is affected by sensor threshold setting difference, device internal structure difference or partial discharge signal propagation path difference. In addition, most of partial discharge type judgment methods have a high identification effect only in a low-noise environment and a small-scale model in a laboratory, and are greatly influenced by equipment types, insulation structures and propagation ways during field application, so that the partial discharge type is difficult to effectively judge, and the field application operability is poor. Therefore, the present application provides a partial discharge type determination method.
Referring to fig. 1, the present application provides a partial discharge type determining method, including:
step S100, obtaining the pulse peak time of an effective partial discharge signal in continuous time, and calculating the time interval between two adjacent pulses according to the pulse peak time to obtain a plurality of interval delays;
step S200, carrying out statistical analysis on the interval delay by adopting a Weibull (Weibull) distribution probability fitting function to obtain a Weibull fitting curve;
step S300, acquiring a two-dimensional characteristic interval of the partial discharge signal according to the Weibull fitting curve;
and step S400, judging the type of the partial discharge signal according to the two-dimensional characteristic interval.
Referring to fig. 2, in the present embodiment, the partial discharge determining method can be implemented by the existing partial discharge on-line monitoring or live monitoringThe measuring device (system) obtains the pulse peak time of the effective partial discharge signal in a continuous time. The interval time delay between two adjacent pulses can be calculated according to the peak time of the pulse, and the interval time delay can reflect the type of partial discharge. In one embodiment, the interval time delay between two adjacent pulses is Δ ti＝ti-ti-1. Wherein, tiPulse peak time, t, for the ith effective partial dischargei-1The pulse peak time of the i-1 th effective partial discharge. The pulse interval delay is subjected to statistical analysis through Weibull distribution probability fitting, so that a Weibull shape parameter and a Weibull scale parameter of the pulse interval delay can be obtained. And finally, identifying the type of the partial discharge through two-dimensional characteristic intervals of Weibull shape parameters and Weibull scale parameters of partial discharge pulse sequences with different defects.
According to the partial discharge type judgment method, a plurality of interval time delays can be obtained by obtaining the pulse peak time of an effective partial discharge signal in continuous time and calculating the time interval between two adjacent pulses according to the pulse peak time. And carrying out statistical analysis on the interval delay by adopting a Weibull distribution probability density function to obtain a Weibull fitting curve. And then acquiring a two-dimensional characteristic interval of the partial discharge signal according to the Weibull fitting curve so as to judge the type of the partial discharge signal. When the partial discharge type judgment method is applied on site, the method is not influenced by the equipment type, the insulation structure and the propagation path of the application site because only the peak time of the partial discharge signal exceeding the preset value needs to be acquired, and the practicability is high. In addition, the partial discharge type judgment method can realize the judgment of the partial discharge type only by fitting the peak time of the partial discharge signal exceeding the preset value and by adopting a Weibull probability density function, has the advantages of simple algorithm and high efficiency, can promote the development of the partial discharge field diagnosis of the power equipment such as a switch cabinet, Gas Insulated Switchgear (GIS) and a transformer, can improve the accuracy of the insulation condition diagnosis of the power equipment, and improves the working efficiency of defect hidden danger troubleshooting and state maintenance.
The partial discharge judgment method can be applied to various environments such as high-voltage tests, on-line monitoring, live-line tests and the like, and can be further applied to various partial discharge on-line monitoring systems or live-line detection devices such as ultrahigh frequency detection, ultrasonic detection, earth electric wave detection, high-frequency current detection and the like. The partial discharge judgment method can quickly and effectively extract the statistical characteristic information of the partial discharge pulse sequence and accurately identify the type of the partial discharge.
Referring to fig. 3, in one embodiment, the effective partial discharge signal is a partial discharge signal whose envelope peak value exceeds a predetermined value. In this embodiment, the method for acquiring the effective partial discharge signal and the peak pulse can be seen in fig. 3. The preset value may be a measurement threshold of partial discharge, that is, when the partial discharge signal exceeds the discharge measurement threshold, it is determined that the electrical device to be detected has partial discharge, and the partial discharge signal needs to be acquired. It is understood that the effective partial discharge signal refers to a pulse signal in which peaks of a plurality of sampling points are connected together to form an envelope peak value exceeding a measurement threshold value. In one embodiment, the pulse peak time is a corresponding time at a maximum of the envelope of the partial discharge signal. It can be understood that, by setting the measurement threshold for the partial discharge signal, the influence of the pseudo partial discharge signal generated due to the influence of external or content environments such as noise on the partial discharge judgment result can be avoided, thereby improving the accuracy of the partial discharge judgment method.
In one embodiment, the weibull distribution probability density function is a two-parameter weibull probability density function. The two-parameter Weibull probability density function is
Wherein, Δ t is the interval delay, k is a Weibull shape parameter, and λ is a Weibull scale parameter. The straight line of the weibull fitting curve is in the form of y ═ mx-c, wherein y ═ ln (-ln (1-F (Δ t))), mx ═ k ln Δ t, and c ═ k ln λ. In the present embodimentReferring to fig. 4, fig. 4 is a weibull fit curve obtained by fitting a defect partial discharge as an example. Compared with a partial discharge trend analysis method in the existing partial discharge type judgment method, the method is greatly influenced by random factors, and a common pattern recognition algorithm is complex and has a large difference with a field situation. The method can rapidly extract the statistical characteristics from the partial discharge pulse sequence through the Weibull probability fitting function without obtaining discharge phase information, and has the advantages of simplicity, convenience and rapidness in field application.
In one embodiment, the obtaining the two-dimensional characteristic interval of the partial discharge according to the weibull fit curve includes: and acquiring the Weibull shape parameters and the Weibull scale parameters according to the Weibull fitting curve. And acquiring the two-dimensional characteristic interval of partial discharge according to the Weibull shape parameter and the Weibull scale parameter.
In one embodiment, the obtaining the two-dimensional characteristic interval of the partial discharge according to the weibull shape parameter and the weibull scale parameter includes: and acquiring the initial voltage and the breakdown voltage of different types of partial discharge. And gradually heating from the initial voltage to the breakdown voltage, and respectively acquiring extreme values of the Weibull shape parameter and the Weibull scale parameter in the heating process. And generating the two-dimensional characteristic interval according to the extreme value of the Weibull shape parameter and the extreme value of the Weibull scale parameter.
Referring to fig. 5, in this embodiment, the initial voltage and the breakdown voltage of partial discharge of different defects are determined first, and the extreme values (k) of weibull shape parameters and scale parameters at various voltage levels are obtained by using a boosting methodmin,kmax；λmin,λmax) And taking the extreme value as the upper and lower limit boundaries of the two-dimensional characteristic interval. Wherein, set (k)1,k2,k3,…kn) And set (λ)1,λ2,λ3,…λn) Respectively a Weibull shape parameter set and a scale parameter set under each voltage level. In one embodiment, with coronaDischarge, for example, with its Weibull shape parameter and scale parameter extrema (k)min,kmax；λmin,λmax) Is (19, 39; 0.1,3.4). The two-dimensional characteristic intervals are (k:19 → 39; λ:0.1 → 3.4), the method for dividing the two-dimensional characteristic intervals is shown in fig. 5, and the determination of the other types of partial discharge characteristic intervals is similar to that described above. It can be understood that the statistical time delay parameters of the partial discharge pulses can be effectively extracted by adopting Weibull fitting. And by dividing characteristic regions of the statistical time delay parameters of different typical defects, the partial discharge detection (monitoring) result can be quickly and effectively analyzed and diagnosed, and the algorithm efficiency is high.
In one embodiment, the two-dimensional feature interval is:
it can be understood that by dividing the characteristic regions of the statistical time delay parameters of different typical defects, the partial discharge detection (monitoring) results can be quickly and effectively analyzed and diagnosed, and further the operation and maintenance efficiency of the field device is improved.
Based on the same inventive concept, the application also provides a partial discharge type judgment device. The partial discharge type judgment device comprises a signal acquisition unit, a pulse processing unit and a curve fitting unit. The signal acquisition unit is used for acquiring the pulse peak time of the effective partial discharge signal in continuous time. The pulse processing unit is electrically connected with the signal acquisition unit and used for receiving the pulse peak value time sent by the signal acquisition unit and calculating the time interval between two adjacent pulses according to the pulse peak value time to obtain a plurality of interval time delays. The curve fitting unit is electrically connected with the pulse processing unit and used for receiving the interval time delay sent by the pulse processing unit, performing statistical analysis on the interval time delay by adopting a Weibull distribution probability density function to obtain a Weibull fitting curve, acquiring a two-dimensional characteristic interval of the partial discharge signal according to the Weibull fitting curve, and judging the type of the partial discharge signal according to the two-dimensional characteristic interval.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the claims. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A partial discharge type judgment method is characterized by comprising the following steps:
acquiring pulse peak value time of an effective partial discharge signal in continuous time, and calculating a time interval between two adjacent pulses according to the pulse peak value time to obtain a plurality of interval time delays;
carrying out statistical analysis on the interval time delay by adopting a Weibull distribution probability density function to obtain a Weibull fitting curve;
acquiring a two-dimensional characteristic interval of the partial discharge signal according to the Weibull fitting curve;
and judging the type of the partial discharge signal according to the two-dimensional characteristic interval.
2. The partial discharge type determination method according to claim 1, wherein the effective partial discharge signal is a partial discharge signal whose envelope peak value exceeds a predetermined value.
3. The partial discharge type determination method according to claim 2, wherein the pulse peak time is a time corresponding to a maximum value of the envelope of the partial discharge signal.
4. The partial discharge type judgment method according to claim 1, wherein the weibull distribution probability density function is a two-parameter weibull probability density function.
5. The partial discharge type judgment method according to claim 4, wherein the two-parameter Weibull probability density function is
Wherein, Δ t is the interval delay, k is a Weibull shape parameter, and λ is a Weibull scale parameter.
6. The partial discharge type determination method according to claim 5, wherein a straight line of the Weibull fitting curve is in a form of y-mx-c, where y-ln (1-F (Δ t))), mx-kln Δ t, and c-kln λ.
7. The partial discharge type determination method according to claim 5, wherein the obtaining the two-dimensional characteristic interval of partial discharge according to the weibull fit curve includes:
acquiring the Weibull shape parameters and the Weibull scale parameters according to the Weibull fitting curve;
and acquiring the two-dimensional characteristic interval of partial discharge according to the Weibull shape parameter and the Weibull scale parameter.
8. The partial discharge type determination method according to claim 7, wherein the obtaining the two-dimensional characteristic interval of partial discharge according to the weibull shape parameter and the weibull scale parameter includes:
acquiring initial voltages and breakdown voltages of different types of partial discharge;
gradually heating from the initial voltage to the breakdown voltage, and respectively obtaining extreme values of the Weibull shape parameter and the Weibull scale parameter in the heating process;
and generating the two-dimensional characteristic interval according to the extreme value of the Weibull shape parameter and the extreme value of the Weibull scale parameter.
9. The partial discharge type determination method according to claim 8, wherein the two-dimensional characteristic interval is:
10. a partial discharge type determination device, characterized by comprising:
the signal acquisition unit is used for acquiring the pulse peak time of the effective partial discharge signal in continuous time;
the pulse processing unit is electrically connected with the signal acquisition unit and is used for receiving the pulse peak time sent by the signal acquisition unit and calculating the time interval between two adjacent pulses according to the pulse peak time to obtain a plurality of interval time delays; and
and the curve fitting unit is electrically connected with the pulse processing unit and used for receiving the interval time delay sent by the pulse processing unit, performing statistical analysis on the interval time delay by adopting a Weibull distribution probability density function to obtain a Weibull fitting curve, acquiring a two-dimensional characteristic interval of the partial discharge signal according to the Weibull fitting curve, and judging the type of the partial discharge signal according to the two-dimensional characteristic interval.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911146902.5A CN110824310A (en) | 2019-11-21 | 2019-11-21 | Partial discharge type judgment method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911146902.5A CN110824310A (en) | 2019-11-21 | 2019-11-21 | Partial discharge type judgment method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110824310A true CN110824310A (en) | 2020-02-21 |
Family
ID=69557614
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911146902.5A Pending CN110824310A (en) | 2019-11-21 | 2019-11-21 | Partial discharge type judgment method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110824310A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113848435A (en) * | 2021-08-31 | 2021-12-28 | 四川大学 | Direct current partial discharge signal classification and identification method based on frequency spectrum energy distribution probability |
| CN117972451A (en) * | 2024-03-28 | 2024-05-03 | 国网安徽省电力有限公司电力科学研究院 | GIS isolating switch switching position confirmation method |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102955108A (en) * | 2012-10-25 | 2013-03-06 | 清华大学 | Method for measuring converter transformer paper oil insulation partial discharge characteristic |
| CN103558534A (en) * | 2013-11-20 | 2014-02-05 | 国家电网公司 | Two-dimensional Weibull parameter spectrum clustering method of high voltage cable discharge signal |
-
2019
- 2019-11-21 CN CN201911146902.5A patent/CN110824310A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102955108A (en) * | 2012-10-25 | 2013-03-06 | 清华大学 | Method for measuring converter transformer paper oil insulation partial discharge characteristic |
| CN103558534A (en) * | 2013-11-20 | 2014-02-05 | 国家电网公司 | Two-dimensional Weibull parameter spectrum clustering method of high voltage cable discharge signal |
Non-Patent Citations (4)
| Title |
|---|
| 唐志国: "电气设备局部放电模式识别研究综述", 《高电压技术》 * |
| 张宜倜: "变压器绝缘局部放电的一般知识(下)", 《变压器》 * |
| 杨丽君: "基于局部放电特征量多元统计分析的油纸绝缘老化研究", 《中国优秀硕士论文全文库 工程科技II辑》 * |
| 王静: "油浸式绝缘局部放电模型的模式识别统计参数法研究", 《中国优秀博硕士学位论文全文数据库(硕士) 工程科技II辑》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113848435A (en) * | 2021-08-31 | 2021-12-28 | 四川大学 | Direct current partial discharge signal classification and identification method based on frequency spectrum energy distribution probability |
| CN113848435B (en) * | 2021-08-31 | 2023-12-15 | 四川大学 | Direct-current partial discharge signal classification and identification method based on frequency spectrum energy distribution probability |
| CN117972451A (en) * | 2024-03-28 | 2024-05-03 | 国网安徽省电力有限公司电力科学研究院 | GIS isolating switch switching position confirmation method |
| CN117972451B (en) * | 2024-03-28 | 2024-06-11 | 国网安徽省电力有限公司电力科学研究院 | GIS isolating switch switching position confirmation method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7676333B2 (en) | Method and apparatus for analyzing partial discharges in electrical devices | |
| US9689909B2 (en) | System for analyzing and locating partial discharges | |
| US7579843B2 (en) | Methods and apparatus for analyzing partial discharge in electrical machinery | |
| US20160209459A1 (en) | Diagnostic method for automatic discrimination of phase-to-ground partial discharge, phase-to-phase partial discharge and electromagnetic noise | |
| CN103645425A (en) | High-voltage cable insulation defect partial discharge on-line monitoring diagnosis method | |
| Aschenbrenner et al. | On line PD measurements and diagnosis on power transformers | |
| Liu et al. | Prognosis of underground cable via online data-driven method with field data | |
| WO2015058068A1 (en) | Method and apparatus for measuring partial discharge charge value in frequency domain | |
| CN110824310A (en) | Partial discharge type judgment method and device | |
| Ward | Digital techniques for partial discharge measurements | |
| EP3588108B1 (en) | Method and device for use of multiple frequencies prpd pattern to reduce noise or select suitable frequency ranges for partial discharge measurements | |
| Chen et al. | Energy estimation of partial discharge pulse signals based on noise parameters | |
| Behrmann et al. | State of the Art in GIS PD Diagnostics | |
| Tang et al. | Blind source separation of mixed PD signals produced by multiple insulation defects in GIS | |
| Ardila-Rey et al. | Automatic selection of frequency bands for the power ratios separation technique in partial discharge measurements: part II, PD source recognition and applications | |
| JP2019045401A (en) | Partial discharge diagnostic device and partial discharge diagnostic method | |
| JP2019039845A (en) | Partial discharge diagnosis device and partial discharge diagnosis method | |
| CN108008262B (en) | Rapid partial discharge detection method | |
| Reid et al. | Identification of multiple defects in solid insulation using combined RF and IEC60270 measurement | |
| Yang et al. | Partial discharge ultrasonic analysis for generator stator windings | |
| Anjum et al. | Condition Monitoring system for the detection of defects in ceramic insulators based on their radio frequency (RF) signatures | |
| Golenishchev-Kutuzov et al. | Automated Measuring Device for Remote Control of Dielectric Power Equipment | |
| RU2604578C1 (en) | Method of high-voltage equipment technical condition monitoring | |
| Veloso et al. | Detection of partial discharge in power transformers using Rogowski coil and multiresolution analysis | |
| KR102612726B1 (en) | Partial discharge diagnosis apparatus and method |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200221 |