CN106841846A - A kind of transformer state analysis and fault diagnosis method and system - Google Patents
A kind of transformer state analysis and fault diagnosis method and system Download PDFInfo
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- CN106841846A CN106841846A CN201611178523.0A CN201611178523A CN106841846A CN 106841846 A CN106841846 A CN 106841846A CN 201611178523 A CN201611178523 A CN 201611178523A CN 106841846 A CN106841846 A CN 106841846A
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- 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
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- Testing Electric Properties And Detecting Electric Faults (AREA)
Abstract
The embodiment of the invention discloses a kind of analysis of transformer state and fault diagnosis method and system, on-line monitoring for solving transformer in the prior art is isolated one-dimensional data, it is impossible to which the assessment mode of the complete state for reflecting transformer and status monitoring is the technical problem of the judgement assessment mode of extremely irrational setting threshold value.Present invention method includes：Heat engineization electricity multiple parameters to transformer carry out real time on-line monitoring；Obtain the operation of power networks scene key parameters residing for transformer；Multi-dimension information fusion and Gernral Check-up are carried out to transformer by preset diagnosis algorithm；Transformer state analysis is carried out according to the information data combination historical data that multi-dimension information fusion and Gernral Check-up obtain is carried out to transformer；Whether the result monitoring transformer index according to being obtained to transformer state analysis there is Indexes Abnormality, if then sending system early warning, otherwise continue to carry out real time on-line monitoring to transformer.
Description
Technical field
The present invention relates to transformer monitoring field, more particularly to a kind of analysis of transformer state and method for diagnosing faults and it is
System.
Background technology
Used as one of most important power equipment, transformer station undertakes power scheduling, the critical function of protection control.Become
Depressor not only manufacture it is complicated, involve great expense, its can safe and stable operation be also directly connected to effective supply and the system of electric energy
Safe operation.Therefore, the transformer station high-voltage side bus monitoring system of Erecting and improving, builds effective transformer state analysis and is examined with failure
Disconnected method, the important leverage as transformer equipment safe and reliable operation.Current Transformer's Condition Monitoring mainly has：Oil colours
Spectrum, oil temperature, steel core current etc., transformer monitoring gained status data in storage or using it is upper be all isolated.Pass
Whether the assessment mode of the status monitoring of system is to reach threshold value as the decision condition of transformer state using status data, this
There is irrationality in simple transformer state decision method.
It is in particular in, one side a single state amount can not continue the state of quantitative response transformer, its state change tool
There is mutability, only when certain quantity of state reaches preset value, the decision condition of the change of ability match state or failure；The opposing party
Face, strict threshold value decision method cannot reactive moieties abnormality, part abnormality (for example insulate oil degradation, insulation
Line is aging etc.) fault warning value is not reached in single Monitoring Data, cause abnormality long-run development to lead to a disaster.
Additionally, the on-line monitoring of transformer is all isolated one-dimensional data at present, it is impossible to the state of complete reflection transformer,
Cannot be that the repair based on condition of component of transformer proposes complete reliable foundation, it is necessary to consuming patrolled and examined than larger manpower and materials,
Maintenance, test.
Periodic inspection needs to take substantial amounts of manpower and materials, while the electric power that operation suspension is overhauled within a period of time sets
It is standby.This method cannot accomplish real-time and accurately to obtain transformer station high-voltage side bus information, and it is all delayed that major part obtains information, in inspection
In the gap periods repaiied, the failure operation state of power system cannot timely be found, it is more likely that cause major accident to produce
It is raw.Moreover, the method industry safeguarded to power system according to flat schedule and regulation brings very to enterprise and company
More unnecessary economic loss.Under production high efficiency, the economic main trend for maximizing and running safe, this method cannot
Meet power equipment accurately to monitor in real time and maintenance needs.
The content of the invention
A kind of transformer state analysis and fault diagnosis method and system are the embodiment of the invention provides, existing skill is solved
The on-line monitoring of transformer is isolated one-dimensional data in art, it is impossible to complete the reflection state of transformer and commenting for status monitoring
Estimate the technical problem of the judgement assessment mode that mode is extremely irrational setting threshold value.
A kind of transformer state analysis provided in an embodiment of the present invention and method for diagnosing faults, including：
Heat engineization electricity multiple parameters to transformer carry out real time on-line monitoring；
Obtain the operation of power networks scene key parameters residing for transformer；
The operation of power networks scene key parameters residing for heat engineization electricity multiple parameters and transformer according to transformer are by pre-
Put diagnosis algorithm carries out multi-dimension information fusion and Gernral Check-up to transformer；
Enter according to the information data combination historical data that multi-dimension information fusion and Gernral Check-up obtain is carried out to transformer
Line transformer state analysis；
Whether the result monitoring transformer index according to being obtained to transformer state analysis there is Indexes Abnormality, if then sending out
Go out system early warning, otherwise continue to carry out real time on-line monitoring to transformer.
Alternatively, carrying out real time on-line monitoring to the heat engineization of transformer electricity multiple parameters includes：
The heat engineization of transformer electricity multiple parameters are carried out with real time on-line monitoring, and set up it is complete comprising voltage, electric current,
Oil temperature, chromatogram, sound wave, vibration, temperature, the on-line monitoring system of Casing Detection.
Alternatively, obtaining the operation of power networks scene key parameters residing for transformer includes：
The crucial ginseng in terms of the operation of power networks scene of influence transformer state is obtained by production system, lightning location system
Amount, key parameters include overload messages, fault current, the situation of being nearby struck by lightning of transformer.
Alternatively, the operation of power networks scene key parameters residing for the heat engineization electricity multiple parameters and transformer according to transformer
Carrying out multi-dimension information fusion and Gernral Check-up to transformer by preset diagnosis algorithm includes：
The operation of power networks scene key parameters residing for heat engineization electricity multiple parameters and transformer according to transformer are by becoming
The preset diagnosis algorithm of depressor multi-dimensional data coupling carries out multi-dimension information fusion and Gernral Check-up to transformer.
Alternatively, according to carrying out the information data combination history that multi-dimension information fusion and Gernral Check-up are obtained to transformer
Data carry out transformer state analysis to be included：
According to being carried out to transformer, the information data combination historical data that multi-dimension information fusion and Gernral Check-up obtain is true
The weight value of fixed each information, conflicting between the redundancy and adjustment data of processing information, line transformer state analysis of going forward side by side.
A kind of transformer state analysis provided in an embodiment of the present invention and fault diagnosis system, including：
First monitoring modular, real time on-line monitoring is carried out for the heat engineization electricity multiple parameters to transformer；
Acquisition module, for obtaining the operation of power networks scene key parameters residing for transformer；
Diagnostic module, closes for the operation of power networks scene residing for the heat engineization electricity multiple parameters and transformer according to transformer
Key parameter carries out multi-dimension information fusion and Gernral Check-up by preset diagnosis algorithm to transformer；
Analysis module, the information data knot that multi-dimension information fusion and Gernral Check-up are obtained is carried out to transformer for basis
Closing historical data carries out transformer state analysis；
Whether the second monitoring modular, occur for basis to the result monitoring transformer index that transformer state analysis is obtained
Indexes Abnormality, if then sending system early warning, otherwise continues to carry out real time on-line monitoring to transformer.
Alternatively, the first monitoring modular includes：
Monitoring unit, carries out real time on-line monitoring, and set up complete for the heat engineization electricity multiple parameters to transformer
Comprising voltage, electric current, oil temperature, chromatogram, sound wave, vibration, temperature, the on-line monitoring system of Casing Detection.
Alternatively, acquisition module includes：
Acquiring unit, the operation of power networks for obtaining influence transformer state by production system, lightning location system
Key parameters in terms of scape, key parameters include overload messages, fault current, the situation of being nearby struck by lightning of transformer.
Alternatively, diagnostic module includes：
Diagnosis unit, closes for the operation of power networks scene residing for the heat engineization electricity multiple parameters and transformer according to transformer
Key parameter carries out multi-dimension information fusion and health by the preset diagnosis algorithm that transformer multi-dimensional data is coupled to transformer
Diagnosis.
Alternatively, analysis module includes：
Analytic unit, the information data knot that multi-dimension information fusion and Gernral Check-up are obtained is carried out to transformer for basis
The weight value that historical data determines each information, conflicting between the redundancy and adjustment data of processing information are closed, and carries out transformation
Device state analysis.
As can be seen from the above technical solutions, the embodiment of the present invention has advantages below：
A kind of transformer state analysis and fault diagnosis method and system are the embodiment of the invention provides, including：To transformation
The heat engineization electricity multiple parameters of device carry out real time on-line monitoring；Obtain the operation of power networks scene key parameters residing for transformer；Root
Pass through preset diagnosis algorithm according to the operation of power networks scene key parameters residing for the electric multiple parameters of the heat engineization of transformer and transformer
Multi-dimension information fusion and Gernral Check-up are carried out to transformer；Multi-dimension information fusion and Gernral Check-up are carried out according to transformer
The information data combination historical data for obtaining carries out transformer state analysis；According to the result prison obtained to transformer state analysis
Survey whether transformer index occurs Indexes Abnormality, if then sending system early warning, otherwise continue to carry out real-time online to transformer
Monitoring, breaches the information island present situation of transformer online monitoring in the embodiment of the present invention, both considered the current sheet of transformer
The online monitoring data of body, it is contemplated that the influence of the operation of power networks scene of transformer, and by multi-dimension information fusion and comprehensive
Conjunction is processed, and transformer state analysis and fault diagnosis are carried out based on multi-source data, continues, accurately transformer state is carried out
Analysis, the on-line monitoring for solving transformer in the prior art is isolated one-dimensional data, it is impossible to complete reflection transformer
The assessment mode of state and status monitoring is the technical problem of the judgement assessment mode of extremely irrational setting threshold value.
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
The accompanying drawing to be used needed for having technology description is 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
Other accompanying drawings are obtained with according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of a kind of transformer state analysis provided in an embodiment of the present invention and method for diagnosing faults；
Fig. 2 is the informix fusion treatment flow chart of transformer state analysis provided in an embodiment of the present invention；
Fig. 3 is the structural representation of a kind of transformer state analysis provided in an embodiment of the present invention and fault diagnosis system；
Fig. 4 is that the information of transformer state analysis provided in an embodiment of the present invention covers figure.
Specific embodiment
A kind of transformer state analysis and method for diagnosing faults and device are the embodiment of the invention provides, it is existing for solving
The on-line monitoring of transformer is isolated one-dimensional data in technology, it is impossible to the state of complete reflection transformer and status monitoring
Assessment mode is the technical problem of the judgement assessment mode of extremely irrational setting threshold value.
To enable that goal of the invention of the invention, feature, advantage are more obvious and understandable, below in conjunction with the present invention
Accompanying drawing in embodiment, is clearly and completely described, it is clear that disclosed below to the technical scheme in the embodiment of the present invention
Embodiment be only a part of embodiment of the 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.
A kind of transformer state analysis provided in an embodiment of the present invention and method for diagnosing faults, including：
101st, the heat engineization electricity multiple parameters to transformer carry out real time on-line monitoring；
The heat engineization of transformer electricity multiple parameters are carried out with real time on-line monitoring, and set up it is complete comprising voltage, electric current,
Oil temperature, chromatogram, sound wave, vibration, temperature, the on-line monitoring system of Casing Detection.Wherein, to the heat engineization multinomial ginseng of electricity of transformer
Number carries out real time on-line monitoring, including：The outer container temperature of transformer, the environment temperature of air, voltage, electric current, transformer oil
Furfural contains in middle dissolved gas analysis, the monitoring of water content in oil content, hot spot temperature of winding monitoring, iron core grounding current monitoring, oil
The monitoring of amount, the monitoring of sleeve pipe, vibration monitoring, inside transformer transient state acoustic signals, transformer rumble spectrum etc..Balance
The indexs such as reliability, mobility, economy, select optimal measuring method, while correspondence when determining that each parameter index occurs abnormal
The failure that may occur of transformer.On the basis of the routine monitoring parameter of transformer heat engineization electricity, increase transformer vibration, make an uproar
Sound, bushing temperature, environment temperature etc. monitor parameter on-line, and evidence theory is introduced into transformer state analysis field, judge to become
Be divided into for 5 kinds of state differences of transformer by the current running status of depressor, the actual conditions according to each index：Well, normally, can
Doubtful, reliability decrease, precarious position, and latent defect is judged according to diagnosis algorithm.As shown in Fig. 2 being transformer shape
The informix fusion treatment flow chart of state analysis.
102nd, the operation of power networks scene key parameters residing for transformer are obtained；
The crucial ginseng in terms of the operation of power networks scene of influence transformer state is obtained by production system, lightning location system
Amount, key parameters include overload messages, fault current, the situation of being nearby struck by lightning of transformer.The state analysis of transformer also increases
The influence information of the operation of power networks scene residing for it, is transported by obtaining influence transformer with production system, lightning location system etc.
The overload of the data of row reliability, such as transformer, fault current, situations such as be nearby struck by lightning, the basis based on transformer Yu power network
Data, with reference to the historical data of transformer fault and residing operation of power networks, by correlation analysis, and in terms of time and space
Set up the key parameters of operation of power networks scene and the correlation models of transformer state.
As shown in figure 4, for transformer state analysis information cover electrical quantity, mechanical quantity, temperature, insulation, fault message,
Underlying parameter etc..
103rd, the operation of power networks scene key parameters residing for the heat engineization electricity multiple parameters and transformer according to transformer are led to
Cross preset diagnosis algorithm carries out multi-dimension information fusion and Gernral Check-up to transformer；
The operation of power networks scene key parameters residing for heat engineization electricity multiple parameters and transformer according to transformer are by becoming
The preset diagnosis algorithm of depressor multi-dimensional data coupling carries out multi-dimension information fusion and Gernral Check-up to transformer.
104th, basis carries out the information data combination history number that multi-dimension information fusion and Gernral Check-up are obtained to transformer
According to carrying out transformer state analysis；
According to being carried out to transformer, the information data combination historical data that multi-dimension information fusion and Gernral Check-up obtain is true
The weight value of fixed each information, conflicting between the redundancy and adjustment data of processing information, line transformer state analysis of going forward side by side.
105th, whether Indexes Abnormality is occurred according to the result monitoring transformer index obtained to transformer state analysis, if
System early warning is then sent, otherwise continues to carry out real time on-line monitoring to transformer.
Finally, whether Indexes Abnormality is occurred according to the result monitoring transformer index obtained to transformer state analysis, if
It is to send system early warning, otherwise continues to carry out real time on-line monitoring to transformer.
It is more than the detailed description to a kind of transformer state analysis provided in an embodiment of the present invention and method for diagnosing faults,
A kind of transformer state analysis provided in an embodiment of the present invention will be below described in detail with fault diagnosis system.
A kind of transformer state analysis provided in an embodiment of the present invention and fault diagnosis system, including：
First monitoring modular 201, real time on-line monitoring is carried out for the heat engineization electricity multiple parameters to transformer；First prison
Surveying module 201 includes：
Monitoring unit 2011, carries out real time on-line monitoring, and set up for the heat engineization electricity multiple parameters to transformer
It is whole comprising voltage, electric current, oil temperature, chromatogram, sound wave, vibration, temperature, the on-line monitoring system of Casing Detection.
Acquisition module 202, for obtaining the operation of power networks scene key parameters residing for transformer；Acquisition module 202 includes：
Acquiring unit 2021, the power network for being obtained influence transformer state by production system, lightning location system is transported
Key parameters in terms of row scene, key parameters include overload messages, fault current, the situation of being nearby struck by lightning of transformer.
Diagnostic module 203, for the operation of power networks residing for the heat engineization electricity multiple parameters and transformer according to transformer
Scape key parameters carry out multi-dimension information fusion and Gernral Check-up by preset diagnosis algorithm to transformer；Diagnostic module 203 is wrapped
Include：
Diagnosis unit 2031, for the operation of power networks residing for the heat engineization electricity multiple parameters and transformer according to transformer
Scape key parameters by the preset diagnosis algorithm that transformer multi-dimensional data is coupled transformer is carried out multi-dimension information fusion and
Gernral Check-up.
Analysis module 204, the Information Number that multi-dimension information fusion and Gernral Check-up are obtained is carried out to transformer for basis
Transformer state analysis is carried out according to reference to historical data；Analysis module 204 includes：
Analytic unit 2041, the Information Number that multi-dimension information fusion and Gernral Check-up are obtained is carried out to transformer for basis
The weight value of each information, conflicting between the redundancy and adjustment data of processing information are determined according to combination historical data, and is carried out
Transformer state is analyzed.
Whether second monitoring modular 205, transformer index is monitored for basis to the result that transformer state analysis is obtained
Generation Indexes Abnormality, if then sending system early warning, otherwise continues to carry out real time on-line monitoring to transformer.
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, may be referred to the corresponding process in preceding method embodiment, 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
Divide, only a kind of division of logic function there can be other dividing mode when actually realizing, for example multiple units or component
Can combine or be desirably integrated into another system, or some features can be ignored, or do not perform.It is another, it is shown or
The coupling each other for discussing or direct-coupling or communication connection can be the indirect couplings of device or unit by some interfaces
Close or communicate to connect, can be electrical, mechanical or other forms.
The unit that is illustrated as separating component can be or may not be it is physically separate, it is aobvious as unit
The part for showing 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 according to the actual needs selected to realize the mesh of this embodiment scheme
's.
In addition, during each functional unit in each embodiment of the invention can be integrated in a processing unit, it is also possible to
It is that unit is individually physically present, it is also possible to which two or more units are integrated in a unit.Above-mentioned integrated list
Unit can both be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.
If the integrated unit is to realize in the form of SFU software functional unit and as independent production marketing or use
When, can store in a computer read/write memory medium.Based on such understanding, technical scheme is substantially
The part for being contributed to prior art in other words 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 used to so that a computer
Equipment (can be personal computer, server, or network equipment etc.) performs the complete of each embodiment methods described of the 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.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although with reference to preceding
Embodiment is stated to be described in detail the present invention, 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 is carried out to which part technical characteristic；And these
Modification is replaced, and does not make the spirit and scope of the essence disengaging various embodiments of the present invention technical scheme of appropriate technical solution.
Claims (10)
1. a kind of transformer state is analyzed and method for diagnosing faults, it is characterised in that including：
Heat engineization electricity multiple parameters to transformer carry out real time on-line monitoring；
Obtain the operation of power networks scene key parameters residing for transformer；
The operation of power networks scene key parameters residing for heat engineization electricity multiple parameters and the transformer according to the transformer are led to
Cross preset diagnosis algorithm carries out multi-dimension information fusion and Gernral Check-up to transformer；
Become according to the information data combination historical data that multi-dimension information fusion and Gernral Check-up obtain is carried out to transformer
Depressor state analysis；
Whether the result monitoring transformer index according to being obtained to transformer state analysis there is Indexes Abnormality, if then send being
System early warning, otherwise continues to carry out real time on-line monitoring to transformer.
2. transformer state according to claim 1 is analyzed and method for diagnosing faults, it is characterised in that described to transformer
Heat engineization electricity multiple parameters carry out real time on-line monitoring and include：
The heat engineization of transformer electricity multiple parameters are carried out with real time on-line monitoring, and sets up complete comprising voltage, electric current, oil
Temperature, chromatogram, sound wave, vibration, temperature, the on-line monitoring system of Casing Detection.
3. transformer state according to claim 1 is analyzed and method for diagnosing faults, it is characterised in that the acquisition transformation
Operation of power networks scene key parameters residing for device include：
Key parameters in terms of the operation of power networks scene of influence transformer state are obtained by production system, lightning location system,
The key parameters include overload messages, fault current, the situation of being nearby struck by lightning of transformer.
4. transformer state according to claim 1 is analyzed and method for diagnosing faults, it is characterised in that described in the basis
Operation of power networks scene key parameters residing for the heat engineization electricity multiple parameters of transformer and the transformer are calculated by preset diagnosis
Method carries out multi-dimension information fusion and Gernral Check-up to transformer to be included：
The operation of power networks scene key parameters residing for heat engineization electricity multiple parameters and the transformer according to the transformer are led to
The preset diagnosis algorithm for crossing the coupling of transformer multi-dimensional data carries out multi-dimension information fusion and Gernral Check-up to transformer.
5. transformer state according to claim 4 is analyzed and method for diagnosing faults, it is characterised in that the basis is to becoming
Depressor carries out the information data combination historical data that multi-dimension information fusion and Gernral Check-up obtain and carries out transformer state analysis
Including：
According to transformer is carried out the information data combination historical data that multi-dimension information fusion and Gernral Check-up obtain determine it is each
The weight value of information, conflicting between the redundancy and adjustment data of processing information, line transformer state analysis of going forward side by side.
6. a kind of transformer state is analyzed and fault diagnosis system, it is characterised in that including：
First monitoring modular, real time on-line monitoring is carried out for the heat engineization electricity multiple parameters to transformer；
Acquisition module, for obtaining the operation of power networks scene key parameters residing for transformer；
Diagnostic module, for the operation of power networks residing for the heat engineization electricity multiple parameters and the transformer according to the transformer
Scape key parameters carry out multi-dimension information fusion and Gernral Check-up by preset diagnosis algorithm to transformer；
Analysis module, carries out the information data that multi-dimension information fusion and Gernral Check-up obtain to transformer and combines to go through for basis
History data carry out transformer state analysis；
Whether the second monitoring modular, there is index for basis to the result monitoring transformer index that transformer state analysis is obtained
It is abnormal, if then sending system early warning, otherwise continue to carry out real time on-line monitoring to transformer.
7. transformer state according to claim 6 is analyzed and fault diagnosis system, it is characterised in that first monitoring
Module includes：
Monitoring unit, carries out real time on-line monitoring, and set up complete including for the heat engineization electricity multiple parameters to transformer
Voltage, electric current, oil temperature, chromatogram, sound wave, vibration, temperature, the on-line monitoring system of Casing Detection.
8. transformer state according to claim 6 is analyzed and fault diagnosis system, it is characterised in that the acquisition module
Including：
Acquiring unit, the operation of power networks scene side for obtaining influence transformer state by production system, lightning location system
The key parameters in face, the key parameters include overload messages, fault current, the situation of being nearby struck by lightning of transformer.
9. transformer state according to claim 6 is analyzed and fault diagnosis system, it is characterised in that the diagnostic module
Including：
Diagnosis unit, for the operation of power networks residing for the heat engineization electricity multiple parameters and the transformer according to the transformer
Scape key parameters by the preset diagnosis algorithm that transformer multi-dimensional data is coupled transformer is carried out multi-dimension information fusion and
Gernral Check-up.
10. transformer state according to claim 9 is analyzed and fault diagnosis system, it is characterised in that the analysis mould
Block includes：
Analytic unit, carries out the information data that multi-dimension information fusion and Gernral Check-up obtain to transformer and combines to go through for basis
History data determine the weight value of each information, conflicting between the redundancy and adjustment data of processing information, line transformer shape of going forward side by side
State is analyzed.
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| CN201611178523.0A CN106841846A (en) | 2016-12-19 | 2016-12-19 | A kind of transformer state analysis and fault diagnosis method and system |
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| CN116667632A (en) * | 2023-06-01 | 2023-08-29 | 广州市科隆节能科技有限公司 | Rectifier control method and control system |
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| CN117664221A (en) * | 2023-10-30 | 2024-03-08 | 国网江苏省电力有限公司淮安供电分公司 | Transformer with multi-parameter all-fiber sensing function and multi-parameter monitoring method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101614775A (en) * | 2009-07-15 | 2009-12-30 | 河北科技大学 | Transformer State Assessment system and appraisal procedure thereof based on Multi-source Information Fusion |
| CN102981108A (en) * | 2012-11-29 | 2013-03-20 | 重庆大学 | Transformer internal insulation aging diagnosis method based on multi-feature information fusion technology |
| CN103512619A (en) * | 2013-10-18 | 2014-01-15 | 海南电力技术研究院 | System and method for intelligently monitoring state information of transformer |
| CN103778575A (en) * | 2014-03-04 | 2014-05-07 | 国网浙江宁波市鄞州区供电公司 | Transformer state evaluation method and system |
| CN104007336A (en) * | 2014-05-06 | 2014-08-27 | 昆明理工大学 | Transformer on-line monitoring information polymerization method based on internet of things |
| CN106126901A (en) * | 2016-06-17 | 2016-11-16 | 华南理工大学 | A kind of transformator upstate online evaluation method of multi-dimension information fusion |
-
2016
- 2016-12-19 CN CN201611178523.0A patent/CN106841846A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101614775A (en) * | 2009-07-15 | 2009-12-30 | 河北科技大学 | Transformer State Assessment system and appraisal procedure thereof based on Multi-source Information Fusion |
| CN102981108A (en) * | 2012-11-29 | 2013-03-20 | 重庆大学 | Transformer internal insulation aging diagnosis method based on multi-feature information fusion technology |
| CN103512619A (en) * | 2013-10-18 | 2014-01-15 | 海南电力技术研究院 | System and method for intelligently monitoring state information of transformer |
| CN103778575A (en) * | 2014-03-04 | 2014-05-07 | 国网浙江宁波市鄞州区供电公司 | Transformer state evaluation method and system |
| CN104007336A (en) * | 2014-05-06 | 2014-08-27 | 昆明理工大学 | Transformer on-line monitoring information polymerization method based on internet of things |
| CN106126901A (en) * | 2016-06-17 | 2016-11-16 | 华南理工大学 | A kind of transformator upstate online evaluation method of multi-dimension information fusion |
Non-Patent Citations (1)
| Title |
|---|
| 耿建风等: "《智能变电站设计与应用》", 31 March 2012, 中国电力出版社 * |
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