CN109116204A - A kind of transformer partial discharge signal sorter and fault detection means - Google Patents
A kind of transformer partial discharge signal sorter and fault detection means Download PDFInfo
- Publication number
- CN109116204A CN109116204A CN201811307816.3A CN201811307816A CN109116204A CN 109116204 A CN109116204 A CN 109116204A CN 201811307816 A CN201811307816 A CN 201811307816A CN 109116204 A CN109116204 A CN 109116204A
- Authority
- CN
- China
- Prior art keywords
- signal
- transformer
- discharge signal
- energy
- ultrahigh
- 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
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
Abstract
The invention discloses a kind of transformer partial discharge signal sorter and fault detection means, described device includes: ultrahigh-frequency signal sensing unit, signal acquisition unit, data processing unit；The two-way ultrahigh-frequency signal that ultrahigh-frequency signal sensing unit is generated for measuring transformer bottom shielding of bushing and iron core grounding circuit shelf depreciation；Signal acquisition unit is for recording the two-way local discharge signal that superfrequency sensor measurement arrives；Data processing unit carries out noise reduction process for handling two-way local discharge signal, to two-way local discharge signal, calculates two paths of signals energy and obtains signal energy ratio, is classified than characteristic parameter to all collected discharge signals with signal energy.The present invention can effectively realize the classification to discharge signal, be conducive to accurately identify transformer defect type, improve the reliability of transformer defect diagonsis and maintenance.
Description
Technical field
The present invention relates to transformer detection fields, and in particular, to a kind of transformer partial discharge signal sorter and
Fault detection means.
Background technique
Transformer occupys an important position in the power system, and safe and reliable operation is largely fixed entirely
The normal operation of system.In numerous transformer faults, insulation fault occupies quite a few specific gravity, effective diagnosis and
It identifies insulation defect, is the important way for ensureing transformer safety and improving maintenance efficiency.
When insulation fault occurs for transformer, often phenomena such as generation light, electricity, sound and heat, detection means mainly includes arteries and veins
Rush current method, high-frequency method, supercritical ultrasonics technology, Oil chromatography analysis etc..Pulse current method is to seal in detection impedance in bottom shielding of bushing to obtain
Apparent discharge magnitude is taken, detection sensitivity is high, however this method is mainly used for the test that has a power failure；High-frequency method is iron core, folder ground line
Upper access punching HF current transformer, for this method in the field vulnerable to external interference, interference free performance is poor；Supercritical ultrasonics technology is in oil
The ultrasonic wave that the generation of ultrasonic sensor receiving transformer built-in electrical insulation defect is fixed on tank wall, determines defect size and position with this
It sets, however structure is complicated causes acoustic attenuation and sonic velocity change inconsistent for inside transformer, meanwhile, this method anti-interference ability
Difference, sensitivity is not high；Oil chromatography analysis judges state of insulation, this method timeliness by the ingredient and content of detection gas
It is poor, it cannot reflect the failure of burst.There is numerous electromagnetic interferences at transformer station high-voltage side bus scene, this brings to signal electrical measurement
Very big challenge.And do not classify in the prior art to the signal of transformer detection acquisition in the detection method of transformer,
Cause detection effect bad.
Summary of the invention
The present invention provides a kind of transformer partial discharge signal sorter and fault detection means, the present invention can have
Effect realizes the classification to discharge signal, is conducive to accurately identify transformer defect type, improves transformer defect diagonsis and dimension
The reliability repaired.
There is numerous electromagnetic interferences at transformer station high-voltage side bus scene, this brings very big challenge to signal electrical measurement.It is special
High-frequency method is high by using measurement frequency band, can effectively avoid the influence of the numerous electromagnetic interferences in scene, can become transformation
A kind of effective means of device Partial Discharge Detection.The application installs extra-high keep pouring in additional in Transformer Bushing Tap and iron core grounding circuit
Sense carries out signal acquisition.Signal characteristic is effectively extracted, the important content that defect type is Partial Discharge Detection is accurately identified.
PD Pattern Recognition technology has much at present, wherein clustering procedure is the mode being in daily use.Choose suitable feature
Amount, can realize the classification of signal, then realize defect recognition.
For achieving the above object, on the one hand the application provides a kind of transformer partial discharge signal sorter,
Described device includes:
Ultrahigh-frequency signal sensing unit, signal acquisition unit, data processing unit；Ultrahigh-frequency signal sensing unit is for surveying
Measure the two-way ultrahigh-frequency signal of Transformer Bushing Tap and the generation of iron core grounding circuit shelf depreciation；Signal acquisition unit is for remembering
The two-way local discharge signal that record superfrequency sensor measurement arrives；Data processing unit is used to handle two-way local discharge signal,
Noise reduction process is carried out to two-way local discharge signal, calculate two paths of signals energy and obtains signal energy ratio, with signal energy ratio
Characteristic parameter classifies to all collected discharge signals.
The transformer partial discharge signal sorter based on superfrequency sensing in the present invention, by bushing shell for transformer
End shield and iron core grounding circuit install extra-high video sensor additional, acquire the ultrahigh-frequency signal of shelf depreciation respectively and calculate its signal energy
Amount, and parameter classifies to discharge signal characterized by two paths of signals energy ratio.The present invention, which can be realized effectively, believes electric discharge
Number classification, be conducive to accurately identify transformer defect type, improve transformer defect diagonsis and maintenance reliability.
The present apparatus is sensed using the superfrequency in bottom shielding of bushing and iron core grounding circuit, acquires transformer partial discharge signal,
And two paths of signals energy is calculated separately, using two paths of signals energy ratio as characteristic parameter, transformer partial discharge signal is carried out
Classification, then realizes defect recognition.
The present apparatus is sensed by bottom shielding of bushing and iron core grounding circuit superfrequency, and superfrequency sensing can effectively avoid scene
The influence of various electromagnetic interferences largely reduces the idle component measured in signal；Bottom shielding of bushing and iron core grounding circuit
Sensing device is installed, operability is simple, operates normally equipment substantially without influence, while it is to discharge signal measurement sensitivity
Also there are enough guarantees.
The energy ratio for the discharge signal that the present apparatus measures extra-high video sensor at two carries out signal as characteristic parameter
Classification.The Energy distribution of the discharge signal of different discharge sources has biggish difference, and two paths of signals energy ratio naturally also has larger
Difference, and same discharge source discharge signal energy ratio is closer to.
Further, calculate two paths of signals energy and obtain signal energy ratio, to different type discharge signal energy ratio into
Row is sorted out, and establishes signal energy than database, is divided than characteristic parameter all collected discharge signals with signal energy
Class.
Further, ultrahigh-frequency signal sensing unit includes: two and adds respectively in Transformer Bushing Tap and iron core grounding
The extra-high video sensor of dress, two-way sensor is mutually indepedent, while the superfrequency letter that shelf depreciation generates inside measuring transformer
Number.
Further, noise reduction is carried out according to processing unit, removes the noise component(s) in the original signal that two sensors measure,
Obtain signal f1(n), f2(n)；Then two paths of signals ENERGY E is calculated separately1, E2, energy balane formula is
Two paths of signals energy is done and is compared, characteristic parameter is obtainedDifferent type discharge signal energy ratio is sorted out, is built
Signal energy is found than database, using this feature parameter as foundation, collected all electric discharge samples is done and are classified.
On the other hand, present invention also provides a kind of transformer fault detection device, described device includes: described device packet
Mentioned-above transformer partial discharge signal sorter is included, for classifying to transformer partial discharge signal, is detected
Unit, for the Modulation recognition based on transformer partial discharge signal sorter as a result, selecting corresponding signal carries out event
Barrier detection.
One or more technical solution provided by the present application, has at least the following technical effects or advantages:
The present invention can effectively realize the classification to discharge signal, be conducive to accurately identify transformer defect type, mention
The reliability of high transformer defect diagonsis and maintenance.
Detailed description of the invention
Attached drawing described herein is used to provide to further understand the embodiment of the present invention, constitutes one of the application
Point, do not constitute the restriction to the embodiment of the present invention；
Fig. 1 is the device of the invention composition schematic diagram；
Fig. 2 is the operational process schematic diagram of apparatus of the present invention.
Specific embodiment
To better understand the objects, features and advantages of the present invention, with reference to the accompanying drawing and specific real
Applying mode, the present invention is further described in detail.It should be noted that in the case where not conflicting mutually, the application's
Feature in embodiment and embodiment can be combined with each other.
In the following description, numerous specific details are set forth in order to facilitate a full understanding of the present invention, still, the present invention may be used also
Implemented with being different from the other modes being described herein in range using other, therefore, protection scope of the present invention is not by under
The limitation of specific embodiment disclosed in face.
Fig. 1-Fig. 2 is please referred to, this application provides a kind of transformer partial discharge signal classification based on superfrequency sensing
Device, including ultrahigh-frequency signal sensing unit, signal acquisition unit, data processing unit.Wherein, ultrahigh-frequency signal sensing unit
It is mainly made of the extra-high video sensor that Transformer Bushing Tap and iron core grounding install additional, two-way sensor is mutually indepedent, simultaneously
The ultrahigh-frequency signal that shelf depreciation generates inside measuring transformer；Signal acquisition unit is mainly made of data acquisition equipment, such as
Oscillograph, sampling instrument etc., the local discharge signal arrived for recording superfrequency sensor measurement；Data processing unit is by computer
It constitutes, the discharge signal arrived for handling front-end collection carries out noise reduction process to it, then calculates two paths of signals energy and obtains
Signal energy ratio sorts out different type discharge signal energy ratio, establishes signal energy than database, with this characteristic parameter
Classify to all collected discharge signals.
Number acquisition unit is mainly made of data acquisition equipment, such as oscillograph, sampling instrument, for recording superfrequency sensing
The local discharge signal that device measures.The requirement that sample devices needs to have enough sample rates to meet sampling thheorem, usually
It is required that its sample rate with 2Gs/s or more, meanwhile, sample devices requires enough memory capacity, so as to record
More data samples.
Data processing unit is made of computer, the discharge signal arrived for handling front-end collection.Main processing includes:
Signal de-noising, characteristic parameter calculates and data classification.Data processing unit uses certain noise reduction algorithm first, as small echo drops
It makes an uproar, average noise reduction etc., the noise component(s) in original signal that sensor measures at removal two obtains signal f1(n), f2(n)；It connects
Calculate separately two paths of signals ENERGY E1, E2, energy balane formula isTwo paths of signals energy is done and is compared, is obtained
To characteristic parameterDifferent type discharge signal energy ratio is sorted out, establishes signal energy than database, with
This feature parameter is foundation, does and classifies to collected all electric discharge samples.
Although preferred embodiments of the present invention have been described, it is created once a person skilled in the art knows basic
Property concept, then additional changes and modifications may be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as
It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (5)
1. a kind of transformer partial discharge signal sorter, which is characterized in that described device includes:
Ultrahigh-frequency signal sensing unit, signal acquisition unit, data processing unit；Ultrahigh-frequency signal sensing unit becomes for measuring
The two-way ultrahigh-frequency signal that depressor bottom shielding of bushing and iron core grounding circuit shelf depreciation generate；Signal acquisition unit is for recording spy
The two-way local discharge signal that high frequency sensors measure；Data processing unit is for handling two-way local discharge signal, to two
Road local discharge signal carries out noise reduction process, calculates two paths of signals energy and obtains signal energy ratio, compares feature with signal energy
Parameter classifies to all collected discharge signals.
2. transformer partial discharge signal sorter according to claim 1, which is characterized in that calculate two paths of signals energy
Signal energy ratio is measured and obtained, different type discharge signal energy ratio is sorted out, establishes signal energy than database, with letter
Number energy ratio characteristic parameter classifies to all collected discharge signals.
3. transformer partial discharge signal sorter according to claim 1, which is characterized in that ultrahigh-frequency signal sensing
Unit includes: two extra-high video sensors installed additional respectively in Transformer Bushing Tap and iron core grounding, and two-way sensor is mutual
It is independent, while the ultrahigh-frequency signal that shelf depreciation generates inside measuring transformer.
4. transformer partial discharge signal sorter according to claim 3, which is characterized in that carried out according to processing unit
Noise reduction removes the noise component(s) in the original signal that two sensors measure, and obtains signal f1(n), f2(n)；Then it calculates separately
Two paths of signals ENERGY E1, E2, energy balane formula isTwo paths of signals energy is done and is compared, characteristic parameter is obtainedDifferent type discharge signal energy ratio is sorted out, establishes signal energy than database, with this feature parameter
For foundation, collected all electric discharge samples are done and are classified.
5. a kind of transformer fault detection device, which is characterized in that described device includes any one of in claim 1-4
Transformer partial discharge signal sorter, for classifying to transformer partial discharge signal, detection unit, be used for base
Fault detection is carried out as a result, selecting corresponding signal in the Modulation recognition of transformer partial discharge signal sorter.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811307816.3A CN109116204A (en) | 2018-11-05 | 2018-11-05 | A kind of transformer partial discharge signal sorter and fault detection means |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811307816.3A CN109116204A (en) | 2018-11-05 | 2018-11-05 | A kind of transformer partial discharge signal sorter and fault detection means |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109116204A true CN109116204A (en) | 2019-01-01 |
Family
ID=64853865
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811307816.3A Pending CN109116204A (en) | 2018-11-05 | 2018-11-05 | A kind of transformer partial discharge signal sorter and fault detection means |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109116204A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111458604A (en) * | 2019-12-27 | 2020-07-28 | 广东电网有限责任公司电力科学研究院 | Transformer self-sensing-based oscillation type lightning impulse test system and method |
| CN112834878A (en) * | 2021-01-05 | 2021-05-25 | 国网浙江省电力有限公司电力科学研究院 | Transformer partial discharge defect type identification method and system |
| CN115453286A (en) * | 2022-09-01 | 2022-12-09 | 珠海市伊特高科技有限公司 | GIS partial discharge diagnosis method, model training method, device and system |
| CN116223998A (en) * | 2023-05-08 | 2023-06-06 | 四川省菁蓉和欣科技有限公司 | Acoustic-electric combined positioning method for partial discharge inside large transformer |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09133731A (en) * | 1995-11-09 | 1997-05-20 | Furukawa Electric Co Ltd:The | Partial discharge measuring method |
| CN1834669A (en) * | 2006-04-19 | 2006-09-20 | 重庆大学 | On-line detecting and positioning device for local discharging of electrical insulated combined electrical appliance, and positioning method thereof |
| CN201540350U (en) * | 2009-09-01 | 2010-08-04 | 江苏省电力公司常州供电公司 | Hyper-high-frequency signal receiving device for detecting local discharge |
| CN201788245U (en) * | 2010-09-25 | 2011-04-06 | 广东电网公司电力科学研究院 | Online monitor device for service life of arrester with gaps |
| CN102628917A (en) * | 2012-04-25 | 2012-08-08 | 广州供电局有限公司 | Partial discharge recognition method and system |
| CN102736000A (en) * | 2012-07-06 | 2012-10-17 | 桂林电子科技大学 | On-line detection method and device for power capacitor |
-
2018
- 2018-11-05 CN CN201811307816.3A patent/CN109116204A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09133731A (en) * | 1995-11-09 | 1997-05-20 | Furukawa Electric Co Ltd:The | Partial discharge measuring method |
| CN1834669A (en) * | 2006-04-19 | 2006-09-20 | 重庆大学 | On-line detecting and positioning device for local discharging of electrical insulated combined electrical appliance, and positioning method thereof |
| CN201540350U (en) * | 2009-09-01 | 2010-08-04 | 江苏省电力公司常州供电公司 | Hyper-high-frequency signal receiving device for detecting local discharge |
| CN201788245U (en) * | 2010-09-25 | 2011-04-06 | 广东电网公司电力科学研究院 | Online monitor device for service life of arrester with gaps |
| CN102628917A (en) * | 2012-04-25 | 2012-08-08 | 广州供电局有限公司 | Partial discharge recognition method and system |
| CN102736000A (en) * | 2012-07-06 | 2012-10-17 | 桂林电子科技大学 | On-line detection method and device for power capacitor |
Non-Patent Citations (4)
| Title |
|---|
| R.E.JAMES 等: "Application of Digital Filtering Techniques to the Determination of Partial Discharge Location in Transformers", 《IEEE TRANSACTIONS ON ELECTRICAL INSULATION》 * |
| 周求宽 等: "特高频局部放电检测技术", 《电力设备带电检测技术及应用》 * |
| 桂峻峰 等: "能量比值法定位变压器局部放电", 《高电压技术》 * |
| 汪学勤 等: "变压器局部放电在线监测", 《电气试验与油化验 高级工》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111458604A (en) * | 2019-12-27 | 2020-07-28 | 广东电网有限责任公司电力科学研究院 | Transformer self-sensing-based oscillation type lightning impulse test system and method |
| CN112834878A (en) * | 2021-01-05 | 2021-05-25 | 国网浙江省电力有限公司电力科学研究院 | Transformer partial discharge defect type identification method and system |
| CN112834878B (en) * | 2021-01-05 | 2022-07-01 | 国网浙江省电力有限公司电力科学研究院 | Transformer partial discharge defect type identification method and system |
| CN115453286A (en) * | 2022-09-01 | 2022-12-09 | 珠海市伊特高科技有限公司 | GIS partial discharge diagnosis method, model training method, device and system |
| CN115453286B (en) * | 2022-09-01 | 2023-05-05 | 珠海市伊特高科技有限公司 | GIS partial discharge diagnosis method, model training method, device and system |
| CN116223998A (en) * | 2023-05-08 | 2023-06-06 | 四川省菁蓉和欣科技有限公司 | Acoustic-electric combined positioning method for partial discharge inside large transformer |
| CN116223998B (en) * | 2023-05-08 | 2023-08-22 | 四川省菁蓉和欣科技有限公司 | Acoustic-electric combined positioning method for partial discharge inside large transformer |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109116204A (en) | A kind of transformer partial discharge signal sorter and fault detection means | |
| CN105606975B (en) | A kind of orientable superfrequency cable local discharge detection method and device | |
| CN105334433B (en) | The detection method and device of cable local discharge | |
| CN103913681A (en) | System and method for detecting partial discharge under high-frequency voltage | |
| CN108710074A (en) | A kind of partial discharge of switchgear detecting system based on Radio Transmission Technology | |
| CN110007197B (en) | Series arc fault detection system and detection method | |
| CN103558528B (en) | A kind of partial discharge ultrahigh frequency detection system and method | |
| WO2013091460A1 (en) | Method for discriminating signals and interference during ultrahigh-frequency partial discharge detection of electrical equipment | |
| CN103278751A (en) | Partial discharge comprehensive itinerant detector for high voltage electric power equipment | |
| CN101710166B (en) | Method for monitoring partial discharge of power cable connector on line | |
| KR20140120331A (en) | System for analyzing and locating partial discharges | |
| CN104614648A (en) | Electroacoustic combined DC local discharging detecting device | |
| CN208421140U (en) | A kind of robot shelf depreciation cruising inspection system | |
| CN108414907A (en) | A kind of cable local discharge detection method | |
| CN106249118A (en) | Based on GIS device superfrequency partial discharge detecting system under surge voltage | |
| CN108919070A (en) | A kind of partial discharge of switchgear detection system of Multi-source Information Fusion | |
| Cao et al. | Speeded‐up robust features based single‐ended travelling wave fault location: a practical case study in Yunnan power grid of China | |
| CN105785236A (en) | GIS local discharge detection external interference signal elimination method | |
| Yi et al. | Insulation fault diagnosis of disconnecting switches based on wavelet packet transform and PCA-IPSO-SVM of electric fields | |
| CN110673075A (en) | Method for evaluating electromagnetic interference resistance of ultrahigh frequency partial discharge detector | |
| CN208421150U (en) | A kind of device for Partial Discharge Detection | |
| CN108680843A (en) | A kind of method for detection of partial discharge of switch cabinet based on Radio Transmission Technology | |
| CN106816188B (en) | A kind of guard method of reactor core neutron flux measurement circuit | |
| CN109799432B (en) | Electrical equipment discharge fault positioning device | |
| CN206132913U (en) | Special high frequency cable partial discharge detector device that can fix a position |
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: 20190101 |