CN107561386A - The D.C. magnetic biasing data monitoring method and device of a kind of transformer - Google Patents
The D.C. magnetic biasing data monitoring method and device of a kind of transformer Download PDFInfo
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- CN107561386A CN107561386A CN201710757947.0A CN201710757947A CN107561386A CN 107561386 A CN107561386 A CN 107561386A CN 201710757947 A CN201710757947 A CN 201710757947A CN 107561386 A CN107561386 A CN 107561386A
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Abstract
The embodiment of the invention discloses the D.C. magnetic biasing data monitoring method and device of a kind of transformer, wherein, this method includes:S1:Whether the D.C. magnetic biasing data for the transformer for judging to get are in preset normal range (NR), if so, S2 is then performed, if it is not, then performing S3;S2:The D.C. magnetic biasing data are filtered, reduce sample frequency, data acquisition is carried out to the transformer with the sample frequency after reduction, new D.C. magnetic biasing data is obtained, the new D.C. magnetic biasing data is arranged to the D.C. magnetic biasing data, and re-execute S1;S3:The D.C. magnetic biasing data are preserved, and improve sample frequency, data acquisition is carried out to the transformer with the sample frequency after raising, obtains improper magnetic bias data.
Description
Technical field
The present invention relates to transformer DC magnetic bias to monitor field, more particularly to a kind of D.C. magnetic biasing data monitoring of transformer
Method and device.
Background technology
During direct current transportation, due to the particularity of its system architecture, unavoidably occur that monopole the earth mode is transported
Capable situation, in such a case, it is possible to think that the earth is another wire of DC power transmission line, flowing through the electric current of the earth is
The running current of DC transmission engineering, it will now have the up to hundreds of even electric current of several kiloamperes and be injected greatly from direct current grounding pole
Ground, cause the presence of electric field in ground, so as to which DC current can flow through in the transformer of neutral-point solid ground, produce transformer
Raw D.C. magnetic biasing, its exciting current harmonic sharply increase, saturation temperature rise, noise and vibration aggravation unshakable in one's determination, and produce height
Subharmonic, seriously endanger transformer and the safe and stable operation of power system.
In order to avoid D.C. magnetic biasing occurs for the extremely neighbouring power transformer of direct current, ensure the safe and stable operation of transformer,
And then ensure whole power system security stable operation, it is necessary to be monitored to flowing into transformer neutral point DC current, so as to
Transformer DC magnetic bias level is judged exactly, is provided transformer DC magnetic bias alarm in time, is reminded related operations staff to take
Measure suppresses magnetic bias direct current.Meanwhile now transformer bias direct current is monitored on-line, also carried for the D.C. magnetic biasing analysis in later stage
Data source is supplied.
The monitoring method largely to come into operation at present mainly installs on-line direct current monitoring unit, and the DC current of collection is believed
Number mode through being wirelessly transferred is sent on background server, but because monitoring station is more, the monitoring time is longer, causes data
Scattered, data volume is big, is unfavorable for professional and technical personnel's post analysis data, and data degree of opening is very limited.
Therefore it provides the D.C. magnetic biasing data monitoring method and device of a kind of transformer are monitored with solving current D.C. magnetic biasing
System preserves from the information gathering of front end to back-end data and uses promiscuous mode, with increasing for monitoring station, during monitoring
Between lengthening, cause the technical problem that background data base volume is excessively huge, is unfavorable for professional and technical personnel's post analysis.
The content of the invention
The embodiments of the invention provide the D.C. magnetic biasing data monitoring method and device of a kind of transformer, solves straight at present
Stream magnetic bias monitoring system preserves from the information gathering of front end to back-end data uses promiscuous mode, with the increasing of monitoring station
It is more, the lengthening of time is monitored, causes the technology that background data base volume is excessively huge, is unfavorable for professional and technical personnel's post analysis
Problem.
The embodiments of the invention provide a kind of D.C. magnetic biasing data monitoring method of transformer, including:
S1:Whether the D.C. magnetic biasing data for the transformer for judging to get are in preset normal range (NR), if so, then performing
S2, if it is not, then performing S3;
S2:The D.C. magnetic biasing data are filtered, sample frequency is reduced, the transformer is entered with the sample frequency after reduction
Row data acquisition, new D.C. magnetic biasing data are obtained, the new D.C. magnetic biasing data are arranged to the D.C. magnetic biasing data, laid equal stress on
It is new to perform S1;
S3:The D.C. magnetic biasing data are preserved, and improve sample frequency, with the sample frequency after raising to the transformer
Data acquisition is carried out, obtains improper magnetic bias data.
Preferably, also include after step S3:
S4:The D.C. magnetic biasing data and the improper magnetic bias data are pre-processed, obtain pretreated number
According to, and show the pretreated data.
Preferably, step S4 is specifically included:
It is sql server normal data library files by the D.C. magnetic biasing data and the improper magnetic bias data storage,
The sql server normal data library files are parsed according to the query statement got, obtain pretreated number
According to, and show the pretreated data.
Preferably, step S2 is specifically included:
The transformer is confirmed as into non-emphasis monitoring object, filters the D.C. magnetic biasing data, reduces sample frequency, with
Sample frequency after reduction carries out data acquisition to the transformer, new D.C. magnetic biasing data is obtained, by the new D.C. magnetic biasing
Data are arranged to the D.C. magnetic biasing data, and re-execute S1.
Preferably, step S3 is specifically included:
The transformer is confirmed to be emphasis monitoring object, performs and alarms and preserve the D.C. magnetic biasing data, raising is adopted
Sample frequency, data acquisition is carried out to the transformer with the sample frequency after raising, obtains improper magnetic bias data.
Preferably, the embodiment of the present invention additionally provides a kind of D.C. magnetic biasing data monitoring device of transformer, including:
Judging unit, for the D.C. magnetic biasing data of transformer that judge to get whether in preset normal range (NR), if
It is then to trigger the first collecting unit, if it is not, then triggering the second collecting unit;
First collecting unit, for filtering the D.C. magnetic biasing data, sample frequency is reduced, with the sample frequency after reduction
Data acquisition is carried out to the transformer, obtains new D.C. magnetic biasing data, the new D.C. magnetic biasing data are arranged to described straight
Flow magnetic bias data, and retriggered judging unit;
Second collecting unit, for preserving the D.C. magnetic biasing data, and sample frequency is improved, with the sampling frequency after raising
Rate carries out data acquisition to the transformer, obtains improper magnetic bias data.
Preferably, a kind of D.C. magnetic biasing data monitoring device of transformer provided in an embodiment of the present invention also includes:
Pretreatment unit, for the D.C. magnetic biasing data and the improper magnetic bias data to be pre-processed, obtain
Pretreated data, and show the pretreated data.
Preferably, pretreatment unit be additionally operable to be by the D.C. magnetic biasing data and the improper magnetic bias data storage
Sql server normal data library files, the sql server normal data library files are entered according to the query statement got
Row parsing, obtains pretreated data, and show the pretreated data.
Preferably, the first collecting unit is additionally operable to the transformer confirming as non-emphasis monitoring object, filters described straight
Magnetic bias data are flowed, reduce sample frequency, data acquisition is carried out to the transformer with the sample frequency after reduction, obtains new direct current
Magnetic bias data, the new D.C. magnetic biasing data are arranged to the D.C. magnetic biasing data, and retriggered judging unit.
Preferably, the second collecting unit is additionally operable to the transformer confirming to be emphasis monitoring object, performs and alarms and protect
The D.C. magnetic biasing data are deposited, improve sample frequency, data acquisition is carried out to the transformer with the sample frequency after raising, obtained
To improper magnetic bias data.
As can be seen from the above technical solutions, the embodiment of the present invention has advantages below:
The embodiments of the invention provide the D.C. magnetic biasing data monitoring method and device of a kind of transformer, wherein, this method
Including:S1:Whether the D.C. magnetic biasing data for the transformer for judging to get are in preset normal range (NR), if so, S2 is then performed, if
It is not then to perform S3;S2:The D.C. magnetic biasing data are filtered, sample frequency are reduced, with the sample frequency after reduction to the change
Depressor carries out data acquisition, obtains new D.C. magnetic biasing data, the new D.C. magnetic biasing data are arranged into the D.C. magnetic biasing number
According to, and re-execute S1;S3:The D.C. magnetic biasing data are preserved, and improve sample frequency, with the sample frequency after raising to institute
State transformer and carry out data acquisition, obtain improper magnetic bias data.The present invention to the D.C. magnetic biasing data of transformer by carrying out
Judge whether normally, by normal data filtering and by improper data to retain, and adjust sample frequency and realize to transformer
The intelligent acquisition of magnetic bias data and analysis, and then data structure is optimized, realize concentration and the lightweight of data.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, without having to pay creative labor, may be used also
To obtain other accompanying drawings according to these accompanying drawings.
Fig. 1 is a kind of one embodiment of the D.C. magnetic biasing data monitoring method of transformer provided in an embodiment of the present invention
Schematic flow sheet;
Fig. 2 is a kind of another embodiment of the D.C. magnetic biasing data monitoring method of transformer provided in an embodiment of the present invention
Schematic flow sheet;
Fig. 3 is a kind of one embodiment of the D.C. magnetic biasing data monitoring device of transformer provided in an embodiment of the present invention
Structural representation.
Embodiment
The embodiments of the invention provide the D.C. magnetic biasing data monitoring method and device of a kind of transformer, solves straight at present
Stream magnetic bias monitoring system preserves from the information gathering of front end to back-end data uses promiscuous mode, with the increasing of monitoring station
It is more, the lengthening of time is monitored, causes the technology that background data base volume is excessively huge, is unfavorable for professional and technical personnel's post analysis
Problem.
To enable goal of the invention, feature, the advantage of the present invention more obvious and understandable, below in conjunction with the present invention
Accompanying drawing in embodiment, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that disclosed below
Embodiment be only part of the embodiment of the present invention, and not all embodiment.Based on the embodiment in the present invention, this area
All other embodiment that those of ordinary skill is obtained under the premise of creative work is not made, belongs to protection of the present invention
Scope.
An a kind of referring to Fig. 1, reality of the D.C. magnetic biasing data monitoring method of transformer provided in an embodiment of the present invention
Example is applied, including:
Whether the D.C. magnetic biasing data for the transformer for the 101st, judging to get are in preset normal range (NR), if so, then performing
102, if it is not, then performing 103;
102nd, D.C. magnetic biasing data are filtered, reduce sample frequency, data are carried out to transformer with the sample frequency after reduction
Collection, obtains new D.C. magnetic biasing data, new D.C. magnetic biasing data is arranged into D.C. magnetic biasing data, and re-execute 101;
103rd, D.C. magnetic biasing data are preserved, and improve sample frequency, line number is entered to transformer with the sample frequency after raising
According to collection, improper magnetic bias data are obtained.
The embodiment of the present invention is by the D.C. magnetic biasing data of transformer judge whether normally, by normal data mistake
Filter and retain improper data (equivalent to intelligently by the ambient noise automatic fitration of the DC current of transformer, leaving
Transformer neutral point needs the DC magnetic bias current data of early warning), and adjust sample frequency and realize to transformer bias data
Intelligent acquisition and analysis, and then data structure is optimized, realize concentration and the lightweight of data.
It is a kind of one embodiment example of the D.C. magnetic biasing data monitoring method of transformer above, to carry out in particular
It is bright, a kind of another embodiment of the D.C. magnetic biasing data monitoring method of transformer is provided below, referring to Fig. 2, the present invention carries
A kind of another embodiment of the D.C. magnetic biasing data monitoring method of the transformer supplied, including:
Whether the D.C. magnetic biasing data for the transformer for the 201st, judging to get are in preset normal range (NR), if so, then performing
202, if it is not, then performing 203;
D.C. magnetic biasing data monitoring device obtains the D.C. magnetic biasing data of transformer in real time, the transformer for judging to get
Whether D.C. magnetic biasing data are in preset normal range (NR), if so, step 202 is then performed, if it is not, then performing step 203.Need
Illustrate, D.C. magnetic biasing data monitoring device gets the D.C. magnetic biasing data of transformer by sensor, and the data can be
DC magnetic bias current, DC magnetic bias current is then determined whether in default normal range (NR), and then accurate judgement becomes
The D.C. magnetic biasing of depressor is horizontal.
202nd, transformer is confirmed as into non-emphasis monitoring object, filters D.C. magnetic biasing data, reduce sample frequency, to reduce
Sample frequency afterwards carries out data acquisition to transformer, obtains new D.C. magnetic biasing data, new D.C. magnetic biasing data are arranged into straight
Magnetic bias data are flowed, and re-execute 201;
After D.C. magnetic biasing data monitoring device judges that the D.C. magnetic biasing data of transformer are normal, it will be in normal range (NR)
The D.C. magnetic biasing data filtering, do not deposit into database, and confirm that the transformer need not carry out emphasis monitoring, and with relatively low
Sample frequency continue to be acquired the D.C. magnetic biasing data of transformer, the D.C. magnetic biasing data newly obtained are re-executed into step
Rapid 201, its process is repeated no more, and the transformer is monitored in real time.
203rd, transformer is confirmed to be emphasis monitoring object, performs and alarm and preserve D.C. magnetic biasing data, improve sampling frequency
Rate, data acquisition is carried out to transformer with the sample frequency after raising, obtains improper magnetic bias data;
After D.C. magnetic biasing data monitoring device judges that the D.C. magnetic biasing data of transformer are improper, then it is improper to preserve this
D.C. magnetic biasing data, and confirm that the transformer needs to carry out emphasis monitoring, and continued with higher sample frequency to transformer
D.C. magnetic biasing data be acquired, obtain data when transformer under Direct Current Bias works, i.e., transformer is improper
Magnetic bias data, improper magnetic bias data are used to determine whether transformer failure occurs and analyze the detailed of transformer fault
Thin information.
204th, D.C. magnetic biasing data and improper magnetic bias data are pre-processed, obtains pretreated data, and show
Show pretreated data.
D.C. magnetic biasing data monitoring device marks D.C. magnetic biasing data and improper magnetic bias data storage for sql server
Quasi- database file, sql server normal data library files are parsed according to the query statement got, obtain pre- place
Data after reason, and show pretreated data.
It is understood that user can check that the real time data of D.C. magnetic biasing, and selected monitoring point (become in display screen
Depressor) historical trend.Further, user can check all monitoring points of access D.C. magnetic biasing data monitoring device
Real time data, and the historical data that can be inquired about in a certain section of time range.
The present invention crosses filter data when judging transformer normal operation, and reduces the sample frequency of non-early warning class transformer,
Necessary data record is carried out with preserving;Judging the high sample frequency collection of progress of transformer fault moment, and carrying out in detail
With preserving, this not only ensure that the normal recordings for the D.C. magnetic biasing data that needs analyze and process and analysis, can also subtract data record
Minority is accumulated according to the library, embodies transformer DC magnetic bias risk probability.
Referring to Fig. 3, a kind of one embodiment of the D.C. magnetic biasing data monitoring device of transformer provided by the invention, bag
Include:
Judging unit 301, for the D.C. magnetic biasing data of transformer that judge to get whether in preset normal range (NR),
If so, the first collecting unit is then triggered, if it is not, then triggering the second collecting unit;
First collecting unit 302, for filtering the D.C. magnetic biasing data, sample frequency is reduced, with the sampling after reduction
Frequency carries out data acquisition to the transformer, obtains new D.C. magnetic biasing data, the new D.C. magnetic biasing data are arranged into institute
State D.C. magnetic biasing data, and retriggered judging unit;
Second collecting unit 303, for preserving the D.C. magnetic biasing data, and sample frequency is improved, with adopting after raising
Sample frequency carries out data acquisition to the transformer, obtains improper magnetic bias data.
A kind of D.C. magnetic biasing data monitoring device of transformer provided in an embodiment of the present invention also includes:
Pretreatment unit 304 is used to be pre-processed the D.C. magnetic biasing data and the improper magnetic bias data, obtains
To pretreated data, and show the pretreated data.
Pretreatment unit 304, it is sql to be additionally operable to the D.C. magnetic biasing data and the improper magnetic bias data storage
Server normal data library files, the sql server normal data library files are solved according to the query statement got
Analysis, obtains pretreated data, and show the pretreated data.
First collecting unit 302 is additionally operable to the transformer confirming as non-emphasis monitoring object, and it is inclined to filter the direct current
Magnetic data, sample frequency is reduced, data acquisition is carried out to the transformer with the sample frequency after reduction, obtains new D.C. magnetic biasing
Data, the new D.C. magnetic biasing data are arranged to the D.C. magnetic biasing data, and retriggered judging unit.
Second collecting unit 303 is additionally operable to the transformer confirming to be emphasis monitoring object, performs and alarms and preserve institute
D.C. magnetic biasing data are stated, improve sample frequency, data acquisition is carried out to the transformer with the sample frequency after raising, obtained non-
Normal magnetic bias data.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, the corresponding process in preceding method embodiment is may be referred to, will not be repeated here.
In several embodiments provided herein, it should be understood that disclosed system, apparatus and method can be with
Realize by another way.For example, device embodiment described above is only schematical, for example, the unit
Division, only a kind of division of logic function, can there is other dividing mode, such as multiple units or component when actually realizing
Another system can be combined or be desirably integrated into, or some features can be ignored, or do not perform.It is another, it is shown or
The mutual coupling discussed or direct-coupling or communication connection can be the indirect couplings by some interfaces, device or unit
Close or communicate to connect, can be electrical, mechanical or other forms.
The unit illustrated as separating component can be or may not be physically separate, show as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and is used as independent production marketing or use
When, it can be stored in a computer read/write memory medium.Based on such understanding, technical scheme is substantially
The part to be contributed in other words to prior art or all or part of the technical scheme can be in the form of software products
Embody, the computer software product is stored in a storage medium, including some instructions are causing a computer
Equipment (can be personal computer, server, or network equipment etc.) performs the complete of each embodiment methods described of the present invention
Portion or part steps.And foregoing storage medium includes:USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can store journey
The medium of sequence code.
Described above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although with reference to before
Embodiment is stated the present invention is described in detail, it will be understood by those within the art that:It still can be to preceding
State the technical scheme described in each embodiment to modify, or equivalent substitution is carried out to which part technical characteristic;And these
Modification is replaced, and the essence of appropriate technical solution is departed from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (10)
- A kind of 1. D.C. magnetic biasing data monitoring method of transformer, it is characterised in that including:S1:Whether the D.C. magnetic biasing data for the transformer for judging to get are in preset normal range (NR), if so, S2 is then performed, if It is not then to perform S3;S2:The D.C. magnetic biasing data are filtered, sample frequency is reduced, line number is entered to the transformer with the sample frequency after reduction According to collection, new D.C. magnetic biasing data are obtained, the new D.C. magnetic biasing data are arranged to the D.C. magnetic biasing data, and hold again Row S1;S3:The D.C. magnetic biasing data are preserved, and improve sample frequency, the transformer is carried out with the sample frequency after raising Data acquisition, obtain improper magnetic bias data.
- 2. the D.C. magnetic biasing data monitoring method of transformer according to claim 1, it is characterised in that after step S3 also Including:S4:The D.C. magnetic biasing data and the improper magnetic bias data are pre-processed, obtain pretreated data, and Show the pretreated data.
- 3. the D.C. magnetic biasing data monitoring method of transformer according to claim 2, it is characterised in that step S4 is specifically wrapped Include:It is sql server normal data library files by the D.C. magnetic biasing data and the improper magnetic bias data storage, according to The query statement got parses to the sql server normal data library files, obtains pretreated data, and Show the pretreated data.
- 4. the D.C. magnetic biasing data monitoring method of transformer according to claim 1, it is characterised in that step S2 is specifically wrapped Include:The transformer is confirmed as into non-emphasis monitoring object, filters the D.C. magnetic biasing data, reduces sample frequency, to reduce Sample frequency afterwards carries out data acquisition to the transformer, new D.C. magnetic biasing data is obtained, by the new D.C. magnetic biasing data The D.C. magnetic biasing data are arranged to, and re-execute S1.
- 5. the D.C. magnetic biasing data monitoring method of transformer according to claim 1, it is characterised in that step S3 is specifically wrapped Include:The transformer is confirmed to be emphasis monitoring object, performs and alarms and preserve the D.C. magnetic biasing data, improves sampling frequency Rate, data acquisition is carried out to the transformer with the sample frequency after raising, obtains improper magnetic bias data.
- A kind of 6. D.C. magnetic biasing data monitoring device of transformer, it is characterised in that including:Judging unit, whether the D.C. magnetic biasing data of the transformer got for judgement are in preset normal range (NR), if so, then The first collecting unit is triggered, if it is not, then triggering the second collecting unit;First collecting unit, for filtering the D.C. magnetic biasing data, sample frequency is reduced, with the sample frequency after reduction to institute State transformer and carry out data acquisition, obtain new D.C. magnetic biasing data, it is inclined that the new D.C. magnetic biasing data are arranged into the direct current Magnetic data, and retriggered judging unit;Second collecting unit, for preserving the D.C. magnetic biasing data, and sample frequency is improved, with the sample frequency pair after raising The transformer carries out data acquisition, obtains improper magnetic bias data.
- 7. the D.C. magnetic biasing data monitoring device of transformer according to claim 6, it is characterised in that also include:Pretreatment unit, for the D.C. magnetic biasing data and the improper magnetic bias data to be pre-processed, obtain pre- place Data after reason, and show the pretreated data.
- 8. the D.C. magnetic biasing data monitoring device of transformer according to claim 7, it is characterised in that pretreatment unit is also For being sql server normal data library files by the D.C. magnetic biasing data and the improper magnetic bias data storage, according to The query statement got parses to the sql server normal data library files, obtains pretreated data, and Show the pretreated data.
- 9. the D.C. magnetic biasing data monitoring device of transformer according to claim 6, it is characterised in that the first collecting unit It is additionally operable to the transformer confirming as non-emphasis monitoring object, filters the D.C. magnetic biasing data, reduce sample frequency, with drop Sample frequency after low carries out data acquisition to the transformer, new D.C. magnetic biasing data is obtained, by the new D.C. magnetic biasing number According to being arranged to the D.C. magnetic biasing data, and retriggered judging unit.
- 10. the D.C. magnetic biasing data monitoring device of transformer according to claim 6, it is characterised in that the second collection is single Member is additionally operable to the transformer confirming to be emphasis monitoring object, performs and alarms and preserve the D.C. magnetic biasing data, raising is adopted Sample frequency, data acquisition is carried out to the transformer with the sample frequency after raising, obtains improper magnetic bias data.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114039745A (en) * | 2021-10-08 | 2022-02-11 | 中移(杭州)信息技术有限公司 | Method, device and medium for identifying abnormal flow of website |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN202421318U (en) * | 2012-01-05 | 2012-09-05 | 山东电力研究院 | Large transformer bias current monitoring and early warning system |
US20150309089A1 (en) * | 2012-12-03 | 2015-10-29 | Mitsubishi Electric Corporation | Fault detection device, fault detection method, and program |
CN205003224U (en) * | 2015-09-02 | 2016-01-27 | 中国南方电网有限责任公司调峰调频发电公司天生桥水力发电总厂 | 500kV owner becomes dc magnetic biasing data and keeps watch on collection system on line |
CN106451777A (en) * | 2016-10-20 | 2017-02-22 | 广东电网有限责任公司电力科学研究院 | Transformer direct-current bias current management method and device |
CN106896285A (en) * | 2017-03-21 | 2017-06-27 | 国网上海市电力公司 | Transformer DC magnetic bias monitoring system based on vibration, noise and neutral point current |
-
2017
- 2017-08-29 CN CN201710757947.0A patent/CN107561386A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN202421318U (en) * | 2012-01-05 | 2012-09-05 | 山东电力研究院 | Large transformer bias current monitoring and early warning system |
US20150309089A1 (en) * | 2012-12-03 | 2015-10-29 | Mitsubishi Electric Corporation | Fault detection device, fault detection method, and program |
CN205003224U (en) * | 2015-09-02 | 2016-01-27 | 中国南方电网有限责任公司调峰调频发电公司天生桥水力发电总厂 | 500kV owner becomes dc magnetic biasing data and keeps watch on collection system on line |
CN106451777A (en) * | 2016-10-20 | 2017-02-22 | 广东电网有限责任公司电力科学研究院 | Transformer direct-current bias current management method and device |
CN106896285A (en) * | 2017-03-21 | 2017-06-27 | 国网上海市电力公司 | Transformer DC magnetic bias monitoring system based on vibration, noise and neutral point current |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114039745A (en) * | 2021-10-08 | 2022-02-11 | 中移(杭州)信息技术有限公司 | Method, device and medium for identifying abnormal flow of website |
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Application publication date: 20180109 |