CN111983390B - GIS fault accurate positioning system based on vibration signal - Google Patents
GIS fault accurate positioning system based on vibration signal Download PDFInfo
- Publication number
- CN111983390B CN111983390B CN202010902236.XA CN202010902236A CN111983390B CN 111983390 B CN111983390 B CN 111983390B CN 202010902236 A CN202010902236 A CN 202010902236A CN 111983390 B CN111983390 B CN 111983390B
- Authority
- CN
- China
- Prior art keywords
- fault
- vibration
- sensor
- gis
- point
- 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.)
- Active
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
- G01R31/08—Locating faults in cables, transmission lines, or networks
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
-
- 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
- G01R31/1209—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 using acoustic measurements
-
- 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
- G01R31/1254—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 of gas-insulated power appliances or vacuum gaps
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Locating Faults (AREA)
- Gas-Insulated Switchgears (AREA)
Abstract
The invention discloses a GIS fault accurate positioning system based on vibration signals, which comprises a vibration sensor, a data acquisition instrument and a PC (personal computer) which are connected in sequence, wherein the vibration sensor is fixedly arranged on the shell surface of a shell of GIS equipment. According to the GIS fault accurate positioning system based on the vibration signals, the collection of the vibration signals is not in electrical connection with GIS equipment, and the GIS fault accurate positioning system is simple in structure, easy to operate, economical and practical. The GIS fault accurate positioning method based on the vibration signal can simultaneously and accurately position mechanical faults and insulation faults, and the positioning accuracy is higher than that of the existing means and method.
Description
The application is the application number: 201910286834.6, filing date: 2019-04-10, entitled "a GIS fault accurate positioning method and positioning system based on vibration signals".
Technical Field
The invention relates to a fault positioning method of electrical equipment, in particular to a fault position accurate positioning method of GIS equipment, and belongs to the field of GIS equipment state monitoring and fault diagnosis.
Background
GIS equipment, namely Gas Insulated metal-enclosed Switchgear (Gas Insulated Switchgear), was born in the middle of the 60's of the 20 th century, and it combines all circuit breakers, disconnectors, fast (grounding) switches, current transformers, voltage transformers, lightning arresters, busbars (three-phase or single-phase), connecting tubes, transition elements, etc. in a fully enclosed metal enclosure, and the medium for insulation and arc extinction in the enclosure was SF6 Gas of 0.35-0.6 MPa.
With the continuous maturity of the technology, the GIS equipment occupies smaller and smaller area and volume, and is more and more reliable in operation, and the failure rate and the maintenance workload of the GIS equipment which is put into operation at an early stage are obviously lower than those of other types of switch equipment at the same time, so that the GIS equipment is widely used in urban network transformation.
With the rapid increase of the usage amount of GIS equipment in China and the increase of the operation age of the GIS equipment put into operation at early stage in recent years, the failure rate of the GIS equipment tends to increase and is far higher than the requirement that the accident rate of the GIS equipment suggested by IEC does not exceed 0.1 interval/hundred pieces per year.
The GIS equipment is formed by combining a plurality of electrical equipment, but the fault condition is different from the fault condition of each independent electrical equipment, the fault rate is far lower than that of the independent electrical equipment, and the long-time high-voltage environment also becomes the cause of faults of a plurality of GIS equipment. GIS faults mainly comprise mechanical faults and insulation faults (partial discharge), at present, fault diagnosis methods for GIS are also endless, mainly aim at partial discharge, including an ultrasonic method, an ultrahigh frequency method and the like, but the application range of a monitoring method is single, the mechanical faults and the insulation faults cannot be considered at the same time, an accurate positioning means is lacked, the ultrahigh frequency and ultrasonic positioning is only limited to preliminary positioning of the partial discharge to determine a gas chamber, and specific positions cannot be determined, and the main reason is that the sampling resolution of ultrasonic waves and ultrahigh frequencies is not enough to distinguish position differences in short distance.
Disclosure of Invention
The invention aims to provide a GIS fault accurate positioning method and a positioning system based on vibration signals, which can simultaneously detect mechanical faults and insulation faults, can accurately position the specific position of the fault in an air chamber by using a plane expansion method, and are convenient for fault analysis and maintenance.
The technical solution of the invention is as follows:
a GIS fault accurate positioning method based on vibration signals is characterized in that: a GIS fault accurate positioning system is adopted; the GIS fault accurate positioning system comprises a vibration sensor, a data acquisition instrument and a PC (personal computer) which are connected in sequence, wherein the vibration sensor is fixedly arranged on the shell surface of a shell of GIS equipment;
the vibration sensor is used for acquiring vibration signals of the GIS equipment in real time and transmitting the vibration signals to the data acquisition instrument; the data acquisition instrument is used for receiving the vibration signal, and transmitting the vibration signal to the PC after noise reduction, filtering and A/D conversion processing in sequence; the PC is used for receiving the vibration signal output by the data acquisition instrument and performing GIS fault positioning analysis to give a positioning result; the vibration sensor is a ferromagnetic sensor and is fixedly installed on a fixing nut adsorbed at a gas chamber flange of the GIS equipment; the number of the vibration sensors is 5, 4 sensors are arranged on a flange on one side in total, the 4 sensors A, B, C, D are respectively arranged in the directions of 0 point, 3 point, 6 point and 9 point of the corresponding clock, and the sensor E is arranged in the direction of the 0 point of the corresponding clock at the other end of the fault air chamber;
the positioning method comprises the following steps:
1) fixedly mounting a vibration sensor on the shell surface of the GIS equipment, connecting the output end of the vibration sensor to a data acquisition instrument, and connecting the output end of the data acquisition instrument to a PC (personal computer);
2) starting the GIS equipment to be in a running state, collecting vibration signals of the GIS equipment in real time through a vibration sensor, and setting the sampling frequency of the vibration signals to be 25600Hz and the sampling time to be 2.5 s;
3) performing wavelet denoising processing on the vibration signals acquired by the vibration sensor through a data acquisition instrument;
4) filtering and A/D converting the vibration signal after wavelet denoising treatment by a data acquisition instrument;
5) comparing A, B, C, D the time difference of the sensor receiving fault vibration signal, if the maximum time difference delta tmaxIf the time is less than 0.0001s, the fault is positioned on the central conducting rod, otherwise, the fault is positioned on the inner wall of the GIS;
6) after the fault is located on the central conducting rod, comparing the time difference of fault vibration signals captured by the sensor A, E, and respectively determining the distance between the fault point and the flange on the side A according to the time difference of a point A which is (L-3750 Δ t)/2 when the fault is preferentially triggered and the time difference of a point E which is (L +3750 Δ t)/2 when the fault is preferentially triggered, wherein L is the length of a fault air chamber, Δ L is the distance between the fault point on the conducting rod and the sensor A, and Δ t is the time difference of the fault vibration signals captured by the sensor A, E;
7) when the fault is determined to be positioned on the inner wall of the GIS, the time difference delta t of the fault vibration signal captured by the sensors A, C, B and D is respectively determinedAC、ΔtBDDetermining the difference Δ l between the fault point and the A, C sensorAC＝3750ΔtACDifference Δ l in distance of fault point from B, D sensorBD＝3750ΔtBDThe distance difference Deltal is established by respectively taking A, C, B and D as focusesAC，ΔlBDThe effective branches are determined according to the sequence of arrival of signals at the sensors A, C, B and D, the branch close to the sensor where the vibration signal preferentially arrives is the effective branch, and the two hyperbolas are effectiveAnd determining the coordinates of the fault point according to the GIS developed graph.
A GIS fault accurate positioning system is characterized in that: the GIS equipment vibration detection device comprises a vibration sensor, a data acquisition instrument and a PC (personal computer) which are sequentially connected, wherein the vibration sensor is fixedly arranged on the shell surface of the GIS equipment.
And the vibration sensor is used for acquiring vibration signals of the GIS equipment in real time and transmitting the vibration signals to the data acquisition instrument.
And the data acquisition instrument is used for receiving the vibration signal and transmitting the vibration signal to the PC after noise reduction, filtering and A/D conversion processing in sequence.
And the PC is used for receiving the vibration signal output by the data acquisition instrument and carrying out GIS fault positioning analysis to give a positioning result.
The vibration sensor is a ferromagnetic sensor and is fixedly installed on a fixing nut attached to a flange of an air chamber of the GIS device.
The number of the vibration sensors is 5, 4 sensors are totally arranged on one side flange, 4 sensors A, B, C, D are respectively arranged in the 0 o ' clock, 3 o ' clock, 6 o ' clock and 9 o ' clock directions of the corresponding clock, and a sensor E is arranged in the 0 o ' clock direction of the corresponding clock at the other end of the fault air chamber.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the GIS fault accurate positioning system based on the vibration signals, the collection of the vibration signals is not in electrical connection with GIS equipment, and the GIS fault accurate positioning system is simple in structure, easy to operate, economical and practical.
2. The GIS fault accurate positioning method based on the vibration signal can simultaneously and accurately position mechanical faults and insulation faults, and the positioning accuracy is higher than that of the existing means and method.
Drawings
The invention is further illustrated by the following figures and examples.
FIG. 1 is a block diagram of a GIS fault accurate positioning system based on vibration signals;
fig. 2 and fig. 3 are schematic distribution diagrams of vibration sensors in a GIS fault accurate positioning system based on vibration signals according to the present invention;
fig. 4 is a hyperbolic positioning schematic diagram of a GIS fault accurate positioning method based on vibration signals.
Detailed Description
A GIS fault accurate positioning method based on vibration signals adopts a GIS fault accurate positioning system; the GIS fault accurate positioning system comprises a vibration sensor, a data acquisition instrument and a PC (personal computer) which are connected in sequence, wherein the vibration sensor is fixedly arranged on the shell surface of a shell of GIS equipment;
the vibration sensor is used for acquiring vibration signals of the GIS equipment in real time and transmitting the vibration signals to the data acquisition instrument; the data acquisition instrument is used for receiving the vibration signal, and transmitting the vibration signal to the PC after noise reduction, filtering and A/D conversion processing in sequence; the PC is used for receiving the vibration signal output by the data acquisition instrument and performing GIS fault positioning analysis to give a positioning result; the vibration sensor is a ferromagnetic sensor and is fixedly installed on a fixing nut adsorbed at a gas chamber flange of the GIS equipment; the number of the vibration sensors is 5, 4 sensors are arranged on a flange on one side in total, the 4 sensors A, B, C, D are respectively arranged in the directions of 0 point, 3 point, 6 point and 9 point of the corresponding clock, and the sensor E is arranged in the direction of the 0 point of the corresponding clock at the other end of the fault air chamber;
the positioning method comprises the following steps:
1) fixedly mounting a vibration sensor on the shell surface of the GIS equipment, connecting the output end of the vibration sensor to a data acquisition instrument, and connecting the output end of the data acquisition instrument to a PC (personal computer);
2) starting the GIS equipment to be in a running state, collecting vibration signals of the GIS equipment in real time through a vibration sensor, and setting the sampling frequency of the vibration signals to be 25600Hz and the sampling time to be 2.5 s;
3) performing wavelet denoising processing on the vibration signals acquired by the vibration sensor through a data acquisition instrument;
4) filtering and A/D converting the vibration signal after wavelet denoising treatment by a data acquisition instrument;
5) comparing A, B, C, D the time difference of the sensor receiving fault vibration signal, if the maximum time difference delta tmaxIf the time is less than 0.0001s, the fault is positioned on the central conducting rod, otherwise, the fault is positioned on the inner wall of the GIS;
6) after the fault is located on the central conducting rod, comparing the time difference of fault vibration signals captured by the sensor A, E, and respectively determining the distance between the fault point and the flange on the side A according to the time difference of a point A which is (L-3750 Δ t)/2 when the fault is preferentially triggered and the time difference of a point E which is (L +3750 Δ t)/2 when the fault is preferentially triggered, wherein L is the length of a fault air chamber, Δ L is the distance between the fault point on the conducting rod and the sensor A, and Δ t is the time difference of the fault vibration signals captured by the sensor A, E;
7) when the fault is determined to be positioned on the inner wall of the GIS, the time difference delta t of the fault vibration signal captured by the sensors A, C, B and D is respectively determinedAC、ΔtBDDetermining the difference Δ l between the fault point and the A, C sensorAC＝3750ΔtACDifference Δ l in distance of fault point from B, D sensorBD＝3750ΔtBDThe distance difference Deltal is established by respectively taking A, C, B and D as focusesAC，ΔlBDAnd determining effective branches according to the sequence of the signals reaching the sensors A, C, B and D, wherein the branch close to the sensor which the vibration signal preferentially reaches is the effective branch, the intersection point of the two hyperbolic effective branches is a fault point, and determining the coordinate of the fault point according to the GIS development diagram.
The utility model provides a GIS trouble accurate positioning system, includes consecutive vibration sensor, data acquisition appearance and PC, vibration sensor fixed mounting is on the casing shell face of GIS equipment.
And the vibration sensor is used for acquiring vibration signals of the GIS equipment in real time and transmitting the vibration signals to the data acquisition instrument.
And the data acquisition instrument is used for receiving the vibration signal and transmitting the vibration signal to the PC after noise reduction, filtering and A/D conversion processing in sequence.
And the PC is used for receiving the vibration signal output by the data acquisition instrument and carrying out GIS fault positioning analysis to give a positioning result.
The vibration sensor is a ferromagnetic sensor and is fixedly installed on a fixing nut attached to a flange of an air chamber of the GIS device.
The number of the vibration sensors is 5, 4 sensors are totally arranged on one side flange, 4 sensors A, B, C, D are respectively arranged in the 0 o ' clock, 3 o ' clock, 6 o ' clock and 9 o ' clock directions of the corresponding clock, and a sensor E is arranged in the 0 o ' clock direction of the corresponding clock at the other end of the fault air chamber.
Claims (1)
1. A GIS fault accurate positioning system based on vibration signals is characterized in that: the GIS equipment vibration detection device comprises a vibration sensor, a data acquisition instrument and a PC (personal computer), which are connected in sequence, wherein the vibration sensor is fixedly arranged on the shell surface of a shell of the GIS equipment;
the vibration sensor is used for acquiring vibration signals of the GIS equipment in real time and transmitting the vibration signals to the data acquisition instrument; the data acquisition instrument is used for receiving the vibration signal, and transmitting the vibration signal to the PC after noise reduction, filtering and A/D conversion processing in sequence; the PC is used for receiving the vibration signal output by the data acquisition instrument and performing GIS fault positioning analysis to give a positioning result; the vibration sensor is a ferromagnetic sensor and is fixedly installed on a fixing nut adsorbed at a gas chamber flange of the GIS equipment; the number of the vibration sensors is 5, 4 sensors are arranged on a flange on one side in total, the 4 sensors A, B, C, D are respectively arranged in the directions of 0 point, 3 point, 6 point and 9 point of the corresponding clock, and the sensor E is arranged in the direction of the 0 point of the corresponding clock at the other end of the fault air chamber;
the positioning method of the GIS fault accurate positioning system comprises the following steps:
1) fixedly mounting a vibration sensor on the shell surface of the GIS equipment, connecting the output end of the vibration sensor to a data acquisition instrument, and connecting the output end of the data acquisition instrument to a PC (personal computer);
2) starting the GIS equipment to be in a running state, collecting vibration signals of the GIS equipment in real time through a vibration sensor, and setting the sampling frequency of the vibration signals to be 25600Hz and the sampling time to be 2.5 s;
3) performing wavelet denoising processing on the vibration signals acquired by the vibration sensor through a data acquisition instrument;
4) filtering and A/D converting the vibration signal after wavelet denoising treatment by a data acquisition instrument;
5) comparing A, B, C, D the time difference of the sensor receiving fault vibration signal, if the maximum time difference delta tmaxIf the time is less than 0.0001s, the fault is positioned on the central conducting rod, otherwise, the fault is positioned on the inner wall of the GIS;
6) after the fault is located on the central conducting rod, comparing the time difference of fault vibration signals captured by the sensor A, E, and respectively determining the distance between the fault point and the flange on the side A according to the time difference of a point A which is (L-3750 Δ t)/2 when the fault is preferentially triggered and the time difference of a point E which is (L +3750 Δ t)/2 when the fault is preferentially triggered, wherein L is the length of a fault air chamber, Δ L is the distance between the fault point on the conducting rod and the sensor A, and Δ t is the time difference of the fault vibration signals captured by the sensor A, E;
7) when the fault is determined to be positioned on the inner wall of the GIS, the time difference delta t of the fault vibration signal captured by the sensors A, C, B and D is respectively determinedAC、ΔtBDDetermining the difference Δ l between the fault point and the A, C sensorAC＝3750ΔtACDifference Δ l in distance of fault point from B, D sensorBD＝3750ΔtBDThe distance difference Deltal is established by respectively taking A, C, B and D as focusesAC，ΔlBDAnd determining effective branches according to the sequence of the signals reaching the sensors A, C, B and D, wherein the branch close to the sensor which the vibration signal preferentially reaches is the effective branch, the intersection point of the two hyperbolic effective branches is a fault point, and determining the coordinate of the fault point according to the GIS development diagram.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010902236.XA CN111983390B (en) | 2019-04-10 | 2019-04-10 | GIS fault accurate positioning system based on vibration signal |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910286834.6A CN110018391B (en) | 2019-04-10 | 2019-04-10 | GIS fault accurate positioning method and positioning system based on vibration signals |
| CN202010902236.XA CN111983390B (en) | 2019-04-10 | 2019-04-10 | GIS fault accurate positioning system based on vibration signal |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910286834.6A Division CN110018391B (en) | 2019-04-10 | 2019-04-10 | GIS fault accurate positioning method and positioning system based on vibration signals |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111983390A CN111983390A (en) | 2020-11-24 |
| CN111983390B true CN111983390B (en) | 2021-09-14 |
Family
ID=67191076
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910286834.6A Active CN110018391B (en) | 2019-04-10 | 2019-04-10 | GIS fault accurate positioning method and positioning system based on vibration signals |
| CN202010902236.XA Active CN111983390B (en) | 2019-04-10 | 2019-04-10 | GIS fault accurate positioning system based on vibration signal |
Family Applications Before (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910286834.6A Active CN110018391B (en) | 2019-04-10 | 2019-04-10 | GIS fault accurate positioning method and positioning system based on vibration signals |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN110018391B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110849645B (en) * | 2019-09-23 | 2021-04-23 | 红相股份有限公司 | Initial diagnosis method for GIS mechanical fault |
| CN113638871B (en) * | 2021-08-23 | 2022-11-18 | 永城煤电控股集团登封煤业有限公司 | Air compressor air leakage fault monitoring method based on vibration data |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012058046A (en) * | 2010-09-08 | 2012-03-22 | Nissin Electric Co Ltd | Abnormality diagnosis device for power device |
| CN104007369A (en) * | 2013-10-23 | 2014-08-27 | 海南电力技术研究院 | Online power transformer fault positioning system based on ultra-high-frequency external sensors |
| CN104749489A (en) * | 2015-04-07 | 2015-07-01 | 西安交通大学 | High voltage GIS device breakdown discharge positioning system based on vibration signals |
| CN104808106A (en) * | 2015-04-02 | 2015-07-29 | 广州供电局有限公司 | Electrical equipment local discharge positioning method and system |
| CN105629129A (en) * | 2014-10-28 | 2016-06-01 | 江苏宏安变压器有限公司 | Improved drying changing iron core insulation resistance technology and partial discharge on-line monitoring system |
| CN105928609A (en) * | 2016-05-25 | 2016-09-07 | 国网宁夏电力公司固原供电公司 | GIS equipment vibration signal detector |
| CN106840637A (en) * | 2017-03-24 | 2017-06-13 | 国网山东省电力公司莱芜供电公司 | Based on the GIS mechanical oscillation signal Time-Frequency Analysis Methods for improving HHT algorithms |
| EP3187842A1 (en) * | 2015-12-28 | 2017-07-05 | Commissariat À L'Énergie Atomique Et Aux Énergies Alternatives | Method for detecting an electric arc by analysing the acoustic signature thereof |
| CN206362532U (en) * | 2016-07-04 | 2017-07-28 | 国网江苏省电力公司南京供电公司 | The disc insulator of GIS a kind of loosens the accessory system of detection |
| KR101847864B1 (en) * | 2017-07-18 | 2018-04-13 | 주식회사 에스에이치아이앤씨 | MEMS acceleration sensor based partial discharge / fault location detection method and detection system |
| CN108427067A (en) * | 2018-06-12 | 2018-08-21 | 国网江苏省电力有限公司宜兴市供电分公司 | A kind of partial discharge of switchgear fault detection method, apparatus and system |
| CN108646148A (en) * | 2018-04-13 | 2018-10-12 | 贵州电网有限责任公司都匀供电局 | GIS device fault diagnosis precise positioning method based on photoelectric detecting technology |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09133732A (en) * | 1995-11-13 | 1997-05-20 | Nissin Electric Co Ltd | Abnormal vibration monitor device for electric equipment |
| JP2001305179A (en) * | 2000-04-27 | 2001-10-31 | Mitsubishi Electric Corp | Flash point detecting device and dielectric strength testing method for gas insulated electric device using the same flash point detecting device |
| CN203929983U (en) * | 2014-06-20 | 2014-11-05 | 国家电网公司 | A kind of detection system of combined electrical apparatus localization of fault |
| CN104360240A (en) * | 2014-08-07 | 2015-02-18 | 国家电网公司 | Quick detecting device and method for defective equipment of transformer substation |
| CN105699869B (en) * | 2016-04-07 | 2018-03-13 | 国网江苏省电力公司南京供电公司 | GIS equipment partial discharge detection method based on vibration signal |
| CN210346899U (en) * | 2019-07-03 | 2020-04-17 | 国网重庆市电力公司电力科学研究院 | Mechanical vibration abnormal state detection device for gas insulated metal enclosed switchgear |
-
2019
- 2019-04-10 CN CN201910286834.6A patent/CN110018391B/en active Active
- 2019-04-10 CN CN202010902236.XA patent/CN111983390B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012058046A (en) * | 2010-09-08 | 2012-03-22 | Nissin Electric Co Ltd | Abnormality diagnosis device for power device |
| CN104007369A (en) * | 2013-10-23 | 2014-08-27 | 海南电力技术研究院 | Online power transformer fault positioning system based on ultra-high-frequency external sensors |
| CN105629129A (en) * | 2014-10-28 | 2016-06-01 | 江苏宏安变压器有限公司 | Improved drying changing iron core insulation resistance technology and partial discharge on-line monitoring system |
| CN104808106A (en) * | 2015-04-02 | 2015-07-29 | 广州供电局有限公司 | Electrical equipment local discharge positioning method and system |
| CN104749489A (en) * | 2015-04-07 | 2015-07-01 | 西安交通大学 | High voltage GIS device breakdown discharge positioning system based on vibration signals |
| EP3187842A1 (en) * | 2015-12-28 | 2017-07-05 | Commissariat À L'Énergie Atomique Et Aux Énergies Alternatives | Method for detecting an electric arc by analysing the acoustic signature thereof |
| CN105928609A (en) * | 2016-05-25 | 2016-09-07 | 国网宁夏电力公司固原供电公司 | GIS equipment vibration signal detector |
| CN206362532U (en) * | 2016-07-04 | 2017-07-28 | 国网江苏省电力公司南京供电公司 | The disc insulator of GIS a kind of loosens the accessory system of detection |
| CN106840637A (en) * | 2017-03-24 | 2017-06-13 | 国网山东省电力公司莱芜供电公司 | Based on the GIS mechanical oscillation signal Time-Frequency Analysis Methods for improving HHT algorithms |
| KR101847864B1 (en) * | 2017-07-18 | 2018-04-13 | 주식회사 에스에이치아이앤씨 | MEMS acceleration sensor based partial discharge / fault location detection method and detection system |
| CN108646148A (en) * | 2018-04-13 | 2018-10-12 | 贵州电网有限责任公司都匀供电局 | GIS device fault diagnosis precise positioning method based on photoelectric detecting technology |
| CN108427067A (en) * | 2018-06-12 | 2018-08-21 | 国网江苏省电力有限公司宜兴市供电分公司 | A kind of partial discharge of switchgear fault detection method, apparatus and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110018391A (en) | 2019-07-16 |
| CN111983390A (en) | 2020-11-24 |
| CN110018391B (en) | 2020-10-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102735968B (en) | GIS (Geographic Information System) fault diagnosis system and method based on vibration signal spectrum analysis | |
| CN103605053B (en) | Local discharge of gas-insulator switchgear test unit and method under surge voltage | |
| CN102539527B (en) | GIS (gas insulated substation) partial discharge mode identification method based on ultrasonic testing | |
| CN202735426U (en) | GIS fault diagnosis system based on vibration signal spectral analysis | |
| CN202720309U (en) | Detection and positioning system for partial discharging | |
| CN204044292U (en) | For the system of gas insulated metal enclosed swit chgear insulation defect partial discharge monitoring | |
| CN111983390B (en) | GIS fault accurate positioning system based on vibration signal | |
| CN203658526U (en) | Live-line detection device used for partial discharging of distribution cable | |
| CN103913683A (en) | Method for rapidly positioning local discharging source based on two UHF sensors | |
| CN210346899U (en) | Mechanical vibration abnormal state detection device for gas insulated metal enclosed switchgear | |
| CN202885962U (en) | Detection and analytic system for gas insulation composite apparatus shell vibration signal in service | |
| CN105353302A (en) | Switch equipment arcing time detection device and switch equipment arcing time detection method | |
| CN203606470U (en) | Asynchronous time live-line measuring device for circuit breaker | |
| CN102305903B (en) | Partial discharge detection method for pulse current of electrified operation single phase integrated gas insulated switchgear (GIS) | |
| CN103713244A (en) | Electrified detection device and method used for local discharging of distributing cables | |
| CN210129010U (en) | GIS fault accurate positioning system based on vibration signal | |
| CN104749520A (en) | Measuring method and device of breaking time of circuit breaker | |
| CN113419152B (en) | Acoustic-electric composite based fault insulator online detection device and detection method | |
| CN106644423B (en) | A kind of GIS partial discharge identification system and method based on vibration signal | |
| CN202886560U (en) | Field detecting system for gas insulated switch mechanical faults | |
| CN115436762A (en) | Multi-physics combined monitoring device and monitoring method for partial discharge | |
| CN202383244U (en) | Partial discharge detection device of gas insulated switchgear | |
| CN203630275U (en) | Device for acquiring broadband ultrasonic signal | |
| CN219513320U (en) | Capacitive ultra-high frequency partial discharge antenna | |
| CN219552576U (en) | Cable partial discharge on-line monitoring system |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |