CN207396710U - For the testing device for insulation defect of current transformer - Google Patents
For the testing device for insulation defect of current transformer Download PDFInfo
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- CN207396710U CN207396710U CN201721431909.8U CN201721431909U CN207396710U CN 207396710 U CN207396710 U CN 207396710U CN 201721431909 U CN201721431909 U CN 201721431909U CN 207396710 U CN207396710 U CN 207396710U
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- current transformer
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- testing device
- quantum sensor
- insulation defect
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- 230000007547 defect Effects 0.000 title claims abstract description 123
- 238000009413 insulation Methods 0.000 title claims abstract description 40
- 238000012360 testing method Methods 0.000 title claims abstract description 32
- 230000005684 electric field Effects 0.000 claims abstract description 50
- 238000009826 distribution Methods 0.000 claims abstract description 29
- 238000004435 EPR spectroscopy Methods 0.000 claims abstract description 21
- 230000007935 neutral effect Effects 0.000 claims description 6
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 claims 1
- 239000010931 gold Substances 0.000 claims 1
- 229910052737 gold Inorganic materials 0.000 claims 1
- 210000004218 nerve net Anatomy 0.000 claims 1
- 239000011435 rock Substances 0.000 claims 1
- 230000005284 excitation Effects 0.000 abstract description 4
- 230000005358 geomagnetic field Effects 0.000 abstract description 2
- 238000001514 detection method Methods 0.000 description 11
- 238000005259 measurement Methods 0.000 description 9
- 238000000034 method Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- 229910003460 diamond Inorganic materials 0.000 description 4
- 239000010432 diamond Substances 0.000 description 4
- 230000005611 electricity Effects 0.000 description 4
- 230000001537 neural effect Effects 0.000 description 4
- 238000009434 installation Methods 0.000 description 3
- 230000008054 signal transmission Effects 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 230000013016 learning Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 239000003574 free electron Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000000505 pernicious effect Effects 0.000 description 1
- 230000010287 polarization Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 239000002510 pyrogen Substances 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
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- Testing Relating To Insulation (AREA)
Abstract
The utility model embodiment provides a kind of testing device for insulation defect for current transformer, and testing device for insulation defect includes：Quantum sensor is arranged near current transformer；Laser generator, for quantum sensor emission laser with excitation quantum sensor；Microwave transceiver, for quantum sensor emission microwave signal and receiving the microwave signal of quantum sensor feedback；Electron spin resonance spectrometer, for starting laser generator and microwave transceiver and obtaining the distribution characteristics of the electric field and/or magnetic field intensity of current transformer spatially according to the microwave signal of feedback；Processor, for judging current transformer type with the presence or absence of defect and definite defect in the case of judging current transformer existing defects the defects of according to the distribution characteristics of the electric field that detects and/or magnetic field intensity.The defects of testing device for insulation defect can be detected electric field, the characteristics of geomagnetic field distribution of current transformer and judge current transformer type.
Description
Technical field
The utility model is related to current transformers, and dress is detected more particularly to a kind of insulation defect for current transformer
It puts.
Background technology
Electrical equipment is component important in electric system, and it is power system security that normal table, which is run, reliable
The important foundation of operation.However, the reasons such as raw material, design, manufacturing process, transport, installation can cause the flaw in Insulation Problems
Defect.The problems such as hot-spot, shelf depreciation may be generated if cannot find in time, in operational process or even it will cause to set
Standby explosion on fire, seriously affects power grid and personal safety.At present, the state under the electric equipment operations state such as casing, mutual inductor
Detection means mainly has infrared measurement of temperature, the measurement of relative medium loss factor.Infrared measurement of temperature can delicately find current caused hot type
Defect and whole voltage pyrogenicity type defect, but the major defect of small range concentrated is difficult to find, and this kind of defect is proper
It may just quickly grow and cause the generation of pernicious failure；Relative medium loss factor measurement needs to change equipment end shield
It makes, adds equipment operation risk, and such measurement technology is also difficult to find the major defect of small range concentrated.
Utility model content
The purpose of this utility model is to provide a kind of testing device for insulation defect for current transformer, the insulation defect
Detection device and method can be detected electric field, the characteristics of geomagnetic field distribution of current transformer and judge the current transformer
The defects of type.
To achieve these goals, the utility model embodiment provides a kind of insulation defect for current transformer and examines
Device is surveyed, which can include：
Quantum sensor is arranged near current transformer；
Laser generator, for emitting laser to the quantum sensor with excitation quantum sensor；
Microwave transceiver, for quantum sensor emission microwave signal and receive quantum sensor feedback microwave believe
Number；
Electron spin resonance spectrometer, for starting laser generator and microwave transceiver and being obtained according to the microwave signal of feedback
To electric field and/or the magnetic field intensity distribution characteristics spatially of current transformer；
Processor is used for：
Electric field and/or the distribution characteristics of magnetic field intensity according to detecting judge current transformer with the presence or absence of defect and
In the case of judging current transformer existing defects determine the defect the defects of type.
Optionally, which can include diamond.
Optionally, which may further include alarm.The processor can be also used for true
Start the alarm in the case of determining the defect type for major defect.
Optionally, which can be further used for：By distribution characteristics and pre-stored electric field and/or magnetic field intensity
Distributed model spatially is compared, and judges that current transformer is lacked with the presence or absence of defect and existing according to comparison result
The type the defects of defect in the case of falling into.
Optionally, which can be the distributed model using neural net model establishing.
Optionally, which can be radial basis function neural network.
Optionally, testing device for insulation defect can also include：Display, the defects of at least showing current transformer
Type.
Through the above technical solutions, the testing device for insulation defect can be to the electric field of current transformer and/or magnetic field point
Cloth feature is detected, by by the distribution characteristics of the electric field detected and/or magnetic field intensity and default electric field and/or magnetic field
The distribution characteristics of intensity is compared, so as to judge that the current transformer whether there is defect and the situation in existing defects
The defects of lower type.
The other feature and advantage of the utility model embodiment will give in detail in subsequent specific embodiment part
Explanation.
Description of the drawings
Attached drawing is that the utility model embodiment is further understood for providing, and one of constitution instruction
Point, for explaining the utility model embodiment together with following specific embodiment, but do not form to the utility model
The limitation of embodiment.In the accompanying drawings：
Fig. 1 is the stream of the method for detecting insulation defect for current transformer of an embodiment according to the present utility model
Cheng Tu；
Fig. 2 be according to the present utility model one be embodiment the testing device for insulation defect for current transformer
Schematic diagram；
Fig. 3 is the knot of the testing device for insulation defect for current transformer of an embodiment according to the present utility model
Structure block diagram；
Fig. 4 is the knot of the testing device for insulation defect for current transformer of an embodiment according to the present utility model
Structure block diagram；And
Fig. 5 is the knot of the testing device for insulation defect for current transformer of an embodiment according to the present utility model
Structure block diagram.
Reference sign
10th, current transformer 20, quantum sensor
30th, laser generator 40, microwave transceiver
50th, electron spin resonance spectrometer 60, processor
70th, alarm 80, display
Specific embodiment
The specific embodiment of the utility model embodiment is described in detail below in conjunction with attached drawing.It should be understood that
It is specific embodiment described herein is merely to illustrate and explains the utility model embodiment, is not limited to this
Utility model embodiment.
Fig. 1 is the stream of the method for detecting insulation defect for current transformer of an embodiment according to the present utility model
Cheng Tu.The method for detecting insulation defect may comprise steps of in the figure：
In step slo, quantum sensor is set.In the present embodiment, can be as shown in Figure 2 mutual with electric current
The central shaft of sensor is the center of circle, using preset distance to set quantum sensor on the annulus of radius.In the present embodiment, this is pre-
Set a distance can be the precision of the electric field and/or magnetic field intensity detected according to actual needs to determine.In addition, quantum is set to sense
Device can also be arranged on different horizontal planes (assuming that the current transformer is placed to be vertical.).
In step s 11, laser generator emits laser to swash to the quantum sensor being arranged near current transformer
Send out quantum sensor.In the present embodiment, can be that laser generator is controlled to the electric current using electron spin resonance spectrometer
Mutual inductor emits laser with excitation quantum sensor.
In step s 12, microwave transceiver emits microwave signal to the quantum sensor and to receive the quantum sensor anti-
The microwave signal of feedback.In this embodiment, can be that quantum is passed using electron spin resonance spectrometer control microwave transceiver
Sensor emits microwave and the microwave signal of quantum sensor feedback is received by microwave transceiver.
In step s 13, electron spin resonance spectrometer according to the microwave signal of feedback obtain current transformer electric field and/
Or the distribution characteristics of magnetic field intensity spatially；In this embodiment, can be that this is passed through using electron spin resonance spectrometer
The microwave frequency of the signal of feedback determines the electric field and/or magnetic field intensity at this, and the installation position of incorporating quantum sensor comes
Determine the distribution characteristics of the electric field and/or magnetic field intensity of the current transformer spatially.
In step S14, processor judges current transformer with the presence or absence of defect according to distribution characteristics and is judging
The defects of defect is determined in the case of current transformer existing defects type.It in this embodiment, can be for example by detection
The electric field and/or the distribution characteristics of magnetic field intensity that arrive and electric field and/or the distributed model spatially of magnetic field intensity carry out
It compares, to judge that the current transformer whether there is defect under the distribution characteristics of the electric field and/or magnetic field intensity.In the implementation
In mode, the distributed model of the electric field and/or magnetic field intensity can be by learning to substantial amounts of current transformer sample
And establish.Further, can also according to electric field and/or the distributed model spatially of magnetic field intensity judge
The specific defect type of the current transformer.Effective measures so are made to the current transformer convenient for staff.In addition,
A part can also be chosen in the electric field and/or the distributed model of magnetic field intensity learnt by great amount of samples to be used as early warning and lack
It falls into.In the definite current transformer there are during early warning defect, illustrate that the current transformer is likely to go out in a short time at this time
Problem so makes early warning in time convenient for staff, avoids the generation of accident.In addition, in order to improve operation efficiency, it is above-mentioned with
The electric field and/or the distributed model of magnetic field intensity learnt by great amount of samples can be for example using the distributed mode of neural net model establishing
Type, further, the neutral net can be RBF (Radial Basis Function, radial basis function) neutral nets.
Fig. 3 is the knot of the testing device for insulation defect for current transformer of an embodiment according to the present utility model
Structure block diagram.In figure 3, which includes：
Quantum sensor 20 can be arranged near current transformer 10.In one example, quantum sensor 20 can be with
Be provided in the central shaft as shown in Figure 2 using the current transformer 10 as the center of circle, using preset distance as on the annulus of radius.It should
Electric field that preset distance can detect according to actual needs and/or the precision of magnetic field intensity determine.The quantum sensor 20
Electric field that quantity can detect according to actual needs and/or the precision of magnetic field intensity determine.In the embodiment party of the utility model
In formula, which can include diamond.
Laser generator 30, the laser generator 30 are connected with electron spin resonance spectrometer 50, for being sensed to the quantum
Device 20 emits laser with excitation quantum sensor 20.
Microwave transceiver 40, the microwave transceiver 40 are connected with electron spin resonance spectrometer 50, for quantum sensor
20 transmitting microwave signals simultaneously receive the microwave signal of quantum sensor feedback, finally by the microwave signal transmission of the feedback to electricity
Sub- spin resonance spectrometer 50.
Electron spin resonance spectrometer 50, the electron spin resonance spectrometer 50 are connected with processor 60, for detecting the feedback
Microwave signal frequency, the electric field of the current transformer 10 and/or magnetic field intensity are obtained by the frequency of the feedback signal
Distribution characteristics spatially.
Processor 60, is used for：The electric field and/or magnetic field intensity of current transformer 10 are received from electron spin resonance spectrometer 50
Distribution characteristics spatially judges that the current transformer 10 whether there is according to the distribution characteristics of the electric field and/or magnetic field intensity
Defect and the definite defect type in the case where judging 10 existing defects of current transformer.
When detecting, the control of electron spin resonance spectrometer 50 starts laser generator 30 and swashs to the quantum sensor 20 transmitting
Light.The quantum sensor 20 is arranged on the annulus using the central shaft of the current transformer 10 as the center of circle, using preset distance as radius
On, the quantity of the quantum sensor 20 can be such as 4, and the radius of the annulus can be such as 1 centimetre.People in the art
For member it also will be understood that for the needs according to actual estimation precision, the quantity of the quantum sensor 20 can also be other values, should
The radius of annulus can also be other numerical value.(in the present embodiment, which can wrap the quantum sensor 20
Include diamond.) under the irradiation of laser, the free electron in nitrogen-room (NV) colour center structure generates polarization.At this point, microwave is received
It sends out device 40 and emits microwave signal to the quantum sensor 20.The quantum sensor 20 the current transformer 10 electric field and/or
Cause electron spin resonance under the action of magnetic field and microwave signal.At this point, the quantum sensor 20 reflects and own electronic
The identical feedback microwave signal of the frequency of spin resonance.Microwave transceiver 40 receives the microwave signal of feedback and by the micro- of the feedback
Ripple signal transmission electron spin resonance spectrometer 50.The electron spin resonance spectrometer 50 is by detecting the microwave signal of the feedback
Frequency calculates the electric field of the current transformer 10 and/or magnetic field intensity.Processor 60 is received from electron spin resonance spectrometer 50
The distribution characteristics of electric field and/or magnetic field intensity simultaneously judges the electricity according to the electric field and/or the distribution characteristics of magnetic field intensity detected
Current transformer 10 determines defect type with the presence or absence of defect and in the case where judging 10 existing defects of current transformer.
Compared with measurement technology of the prior art, the quantum Technology of Precision Measurement which is based on is base
In to monomolecular manipulation, the reflected physical features that polarize to the internal electron of testee are very sensitive.Therefore, quantum passes
The measurement accuracy of sensor 20 can reach electric field 200mV/m (every meter of millivolt), can reach 10 to magnetic field-13T/m (teslas
Every meter), so as to obtain the fine distributed model of electric field and/or magnetic field spatially when equipment under test is run.
The processor 60 can be general processor, application specific processor, conventional processors, digital signal processor (DSP),
Multi-microprocessor, one or more microprocessors associated with DSP core, controller, microcontroller, application-specific integrated circuit
(ASIC), field programmable gate array (FPGA) circuit, the integrated circuit (IC) of any other type, state machine etc..In this reality
It applies in mode, which can be quantum detection analysis system.Although the above-mentioned selection example for listing several processors,
But the selection example of these processors is not construed as limiting the technical solution of the utility model, those skilled in the art also may be used
It is also applicable to be interpreted as other processors.
Fig. 4 is the testing device for insulation defect for current transformer 10 of an embodiment according to the present utility model
Structure diagram.The difference is that, which lacks with the testing device for insulation defect for current transformer 10 that is shown in Fig. 3
Sunken detection device may further include：Alarm 70, the alarm 70 are connected with processor 20, can be used for starting to prompt
Staff.The processor 60 can be also used for starting the police in the case where the definite current transformer 10 belongs to major defect
Report device 70.For example, when processor 60 judges 10 existing defects of current transformer, so as to determine whether the current transformer
10 the defects of type, and judge whether the defect type belongs to major defect.Judging that the defect type belongs to major defect
In the case of, start the alarm 70 and staff is notified to make corresponding measure, so as to avoid the occurrence of accident.The alarm 70 can be with
LED light, buzzer, voice device etc. are selected, those skilled in the art are it is also assumed that other alarms are also applicable.
Fig. 5 is the testing device for insulation defect for current transformer 10 of an embodiment according to the present utility model.
With the testing device for insulation defect for current transformer 10 that is shown in Fig. 4 the difference is that, insulation defect detection dress
Putting can also include：Display 80, the display 80 can be connected with the processor 60, can be used at least showing that the electric current is mutual
The defects of sensor 10 type.For example, when processor 60 detects 10 existing defects of current transformer, so as to which further detection should
The defects of current transformer 10 type.At this point, processor 60 by the display 80 prompt the type of the staff defect with
Staff is allowed to make measure in advance.When the processor 60 judges that the defect type belongs to major defect, which can
By display 80 staff is prompted to take measures in time with one side；On the other hand work can also be prompted by alarm 70
Make personnel.The generation to cause the accident because of the carelessness of staff is so avoided by alarm twice.The display 80 can
To select LED, OLED display screen etc., those skilled in the art are it is also assumed that other displays are also applicable.
In an embodiment of the utility model, lacked based on the insulation for current transformer 10 as shown in Figure 5
Detection device is fallen into, which can be configured to：By the distribution characteristics of the electric field detected and/or magnetic field intensity with leading to
It crosses the distributed model of the electric field and/or magnetic field intensity of a large amount of sample learnings spatially to be compared, be judged according to comparison result
The current transformer 10 gone out under the distribution characteristics of the electric field and/or magnetic field intensity whether there is defect.It is comparing out in the presence of scarce
In the case of falling into, further by the distribution characteristics of the electric field detected and/or magnetic field intensity and the electricity by great amount of samples study
And/or magnetic field distributed model spatially be compared, type the defects of so as to identify the defect.
In an embodiment of the utility model, based on to being used for current transformer 10 as shown in Figure 5
Testing device for insulation defect, the distributed model can be using neural net model establishing, and further, which can be
RBF (Radial Basis Function, radial basis function) neutral net.Distributed model is modeled using neutral net
Method can be known to those skilled in the art, no longer illustrate its details herein.
As shown in Figure 1 be used for is performed to be used for the testing device for insulation defect of current transformer 10 as shown in Figure 5
The testing device for insulation defect of current transformer 10.During the work time, quantum sensor 10 can be arranged on current transformer
Near 10.In one example, quantum sensor 20 can be provided in the center as shown in Figure 2 with the current transformer 10
Axis is the center of circle, using preset distance as on the annulus of radius.The quantity of the quantum sensor 20 can be such as 6, the annulus
Radius can be such as 1 centimetre.Those skilled in the art are it also will be understood that be according to the needs of the estimation precision of reality, the quantum
The quantity of sensor 20 can also be other values, and the radius of the annulus can also be other numerical value.The quantum sensor 20 is (at this
In embodiment, which can include diamond.) under the irradiation of laser, in nitrogen-room (NV) colour center structure
Electronics polarize.Electron spin resonance spectrometer 50 controls microwave transceiver 40 to emit to the transmitting microwave of the quantum sensor 20
Signal.The quantum sensor 20 causes electricity under the action of the electric field of the current transformer 10 and/or magnetic field and microwave signal
Sub- spin resonance simultaneously reflects the microwave signal identical with the frequency of the resonant frequency.Microwave transceiver 40 receives the microwave letter of feedback
Number and by the microwave signal transmission electron spin resonance spectrometer 50 of the feedback.The electron spin resonance spectrometer 50 should by detection
The frequency of the microwave signal of feedback senses to calculate the electric field of the current transformer 10 and/or magnetic field intensity and pass through each quantum
The installation position of device 20 determines the distribution characteristics of the electric field and/or magnetic field intensity.It is built in processor 60 by RBF neural
Mould by great amount of samples study there are many current transformer 10 under defect situation state electric field and/or magnetic field intensity spatially
Distributed model.The processor 60 by the electric field of the actual current mutual inductor 10 received and/or magnetic field intensity spatially
Distributed model of the distribution characteristics with the electric field and/or magnetic field intensity that are learnt by great amount of samples spatially is compared, according to
Comparison result judges that the current transformer 10 whether there is defect.If 10 existing defects of current transformer, then, processor
60 notify staff by locating startup alarm 70.In addition, the processor 60 can also will further detect that electric current is mutual
The distribution characteristics of the electric field and/or magnetic field intensity of sensor 10 spatially and the electric field learnt by great amount of samples and/or magnetic field
The distributed model of intensity spatially is compared, so as to judge the type of the defect.Processor 60 is aobvious by display 80
Show 10 existing defects of current transformer and show corresponding defect type.Staff can also pass through great amount of samples in advance
It is selected in the distributed model of the electric field and/or magnetic field intensity of the number of drawbacks of study spatially one or more of as serious scarce
It falls into, then if the defect belongs to major defect, then processor 60 prompts staff the Current Mutual Inductance by display 80
There are major defects for device 10.Meanwhile the processor 60 can also start alarm 80 and notify staff, so as to avoid because work
The carelessness of personnel and the generation to cause the accident.
Further, the characteristics of staff can also occur according to major defect, what is learnt by great amount of samples
Early warning defect is set in the distributed model of the electric field and/or magnetic field intensity of number of drawbacks spatially, which indicates
The current transformer 10 to be likely to will appear from major defect.Therefore, when processor 60 compares out the current transformer 10
When defect is early warning defect, can also early warning be made to staff by display 80, so as to avoid the generation of accident in advance.
Through the above technical solutions, the utility model proposes testing device for insulation defect for current transformer and side
Method has the following advantages：
1st, current transformer is measured using the quantum sensor based on quantum Technology of Precision Measurement.By that will pass through
The distributed model of the electric field and/or magnetic field intensity of great amount of samples study spatially and the electric field of the current transformer detected
And/or the distribution characteristics of magnetic field intensity spatially is compared, solving in the prior art can only be whole to current transformer
The problem of state measures realizes the detection to the local small range defect of current transformer.
2nd, by setting early warning defect and major defect, when detecting early warning defect, staff can be prompted to shift to an earlier date
Preparation is made, avoids the generation of accident.When detecting major defect, staff can be prompted in time, avoid getting over
Therefore further deterioration.
It 3rd, also can be to the specific of 10 defect of current transformer by the local small-scale detection of current transformer 10
Position is positioned, convenient for the repair of current transformer 10.
The optional embodiment of the utility model example is described in detail above in association with attached drawing, still, the utility model is implemented
Mode is not limited to the detail in the above embodiment, can in the range of the technology design of the utility model embodiment
To carry out a variety of simple variants to the technical solution of the utility model embodiment, these simple variants belong to the utility model
The protection domain of embodiment.
It is further to note that the specific technical features described in the above specific embodiments, in not lance
In the case of shield, it can be combined by any suitable means.In order to avoid unnecessary repetition, the utility model is implemented
Mode no longer separately illustrates various combinations of possible ways.
In addition, it can also be combined between a variety of embodiments of the utility model embodiment, only
Want it that should equally be considered as interior disclosed in the utility model embodiment without prejudice to the thought of the utility model embodiment
Hold.
Claims (7)
- A kind of 1. testing device for insulation defect for current transformer, which is characterized in that the testing device for insulation defect bag It includes：Quantum sensor (20) is arranged near the current transformer (10)；Laser generator (30), for exciting the quantum sensor (20) to the quantum sensor (20) transmitting laser；Microwave transceiver (40), for emitting microwave signal to the quantum sensor (20) and receiving the quantum sensor (20) microwave signal of feedback；Electron spin resonance spectrometer (50), for starting the laser generator (30) and the microwave transceiver (40) and basis It is special that the microwave signal of the feedback obtains the distribution of the electric field and/or magnetic field intensity of the current transformer (10) spatially Sign；Processor (60), for judging the current transformer with the presence or absence of defect according to the distribution characteristics and judging The defects of defect is determined in the case of current transformer (10) existing defects type.
- 2. testing device for insulation defect according to claim 1, which is characterized in that the quantum sensor (20) includes gold Hard rock.
- 3. testing device for insulation defect according to claim 1, which is characterized in that the testing device for insulation defect is into one Step includes alarm (70)；The processor (60) is additionally operable to start the alarm in the case where the definite defect type is major defect (70)。
- 4. testing device for insulation defect according to claim 1, which is characterized in that the processor (60) is further used In：Distributed model of the distribution characteristics with pre-stored electric field and/or magnetic field intensity spatially is compared, root Judge the defects of current transformer whether there is defect and the in case of a defect defect according to comparison result Type.
- 5. testing device for insulation defect according to claim 4, which is characterized in that the distributed model is to use nerve net The distributed model of network modeling.
- 6. testing device for insulation defect according to claim 5, which is characterized in that the neutral net is radial basis function Neutral net.
- 7. testing device for insulation defect according to claim 1, which is characterized in that the testing device for insulation defect also wraps It includes：Display (80), type the defects of at least showing the current transformer (10).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201721431909.8U CN207396710U (en) | 2017-10-31 | 2017-10-31 | For the testing device for insulation defect of current transformer |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201721431909.8U CN207396710U (en) | 2017-10-31 | 2017-10-31 | For the testing device for insulation defect of current transformer |
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| Publication Number | Publication Date |
|---|---|
| CN207396710U true CN207396710U (en) | 2018-05-22 |
Family
ID=62327805
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| CN201721431909.8U Active CN207396710U (en) | 2017-10-31 | 2017-10-31 | For the testing device for insulation defect of current transformer |
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| Country | Link |
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| CN (1) | CN207396710U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107807342A (en) * | 2017-10-31 | 2018-03-16 | 国网安徽省电力公司电力科学研究院 | Testing device for insulation defect and method for current transformer |
| CN107807315A (en) * | 2017-10-31 | 2018-03-16 | 国网安徽省电力公司电力科学研究院 | Testing device for insulation defect and method for electrical equipment |
-
2017
- 2017-10-31 CN CN201721431909.8U patent/CN207396710U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107807342A (en) * | 2017-10-31 | 2018-03-16 | 国网安徽省电力公司电力科学研究院 | Testing device for insulation defect and method for current transformer |
| CN107807315A (en) * | 2017-10-31 | 2018-03-16 | 国网安徽省电力公司电力科学研究院 | Testing device for insulation defect and method for electrical equipment |
| CN107807315B (en) * | 2017-10-31 | 2023-12-19 | 国网安徽省电力公司电力科学研究院 | Method for detecting insulation defects of electrical equipment |
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