CN107228913A - A kind of condition diagnosing system of transformer fault type - Google Patents
A kind of condition diagnosing system of transformer fault type Download PDFInfo
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- CN107228913A CN107228913A CN201710434086.2A CN201710434086A CN107228913A CN 107228913 A CN107228913 A CN 107228913A CN 201710434086 A CN201710434086 A CN 201710434086A CN 107228913 A CN107228913 A CN 107228913A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
- G01N30/62—Detectors specially adapted therefor
- G01N30/64—Electrical detectors
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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
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1263—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
- G01R31/1281—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of liquids or gases
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- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Housings And Mounting Of Transformers (AREA)
- Testing Electric Properties And Detecting Electric Faults (AREA)
Abstract
The present invention relates to power equipment state monitoring and fault diagnosis technology field, specifically related to a kind of condition diagnosing system of transformer fault type, the system includes oil sample acquisition module, Oil-gas Separation module, gas separation module, gas detection module, data processing module, data transmission module；The present invention is successfully realized the Dissolved Gases in Insulating Oil composition and concentration for quickly, accurately and real-time detecting transformer, there is provided the authentic data that running state of transformer and residual life are analyzed for online evaluation for the drawbacks of avoiding the monitoring means that is short of that steady in a long-term, precision is credible in transformer O＆M；It is initiative that the sample searching algorithm based on Euclidean distance is introduced into fault type recognition, overcome Dissolved Gases in Insulating Oil data ambiguity and applicable sex chromosome mosaicism, the accuracy rate and promptness of identification failure are improved, and has reached that electric power safety production risk, efficiency and cost integrate optimal target.
Description
Technical field
The present invention relates to power equipment state monitoring and fault diagnosis technology field, and in particular to a kind of transformer fault class
The condition diagnosing system of type.
Background technology
Transformer is mostly oil-filled transformer, and the medium of insulation and radiating is used as using insulating oil.In actual motion, transformation
Device insulating oil and solid insulating material understand gradually aging, decomposition, produce the feature gas being dissolved in oil in the presence of electrically and thermally
Body, when there is latency defect, the generation speed of these gases and the quantity being dissolved in insulating oil can all increase, and failure
The composition and content of gas and equipment fault type and order of severity close relation.Therefore, transformer insulation oil is monitored
Dissolved gas situation is to monitor one of important means of transformer station high-voltage side bus, can aid in the insulation for finding its internal early stage early
Defect, and by timely fault diagnosis and state evaluation, to take specific treatment measures, it is to avoid its malignant development.But due to
Equipment physical fault differentiates the problems such as knowledge is incomplete, failure key message is fuzzy with running environment complexity, fault type, causes
Dissolved gas state monitoring apparatus is mainly characteristic gas in realization detection insulating oil oil in existing transformer insulation oil, does not have still
The ability that standby fault type is diagnosed.
The content of the invention
In order to solve the above problems, the invention provides a kind of condition diagnosing system of transformer fault type, specific skill
Art scheme is as follows：
A kind of condition diagnosing system of transformer fault type includes oil sample acquisition module, Oil-gas Separation module, gas splitting die
Block, gas detection module, data processing module, data transmission module；The oil sample acquisition module is used to gather transformer body
In insulating oil and the insulating oil in the transformer body collected is inputted to Oil-gas Separation module；Oil-gas Separation module is used for
The mixed gas of insulating oil and dissolved in insulating oil in the transformer body of separation oil sample acquisition module collection will simultaneously be isolated
The mixed gas come is inputted to gas separation module；Gas separation module is used to separate what is separated from Oil-gas Separation module
Each gas component of mixed gas simultaneously inputs each gas component separated to gas detection module；Gas detects mould
Block is used to detect the concentration of each gas component inputted from gas separation module and is converted into the concentration of each gas component
Electric signal is inputted to data processing module；Data processing module is used to gather each gas group that gas detection module is detected
The data of point concentration are simultaneously handled, stored, Fault Diagnosis Method of Power Transformer type, by each gas component concentrations data and transformer
Fault type diagnostic result is inputted to data transmission module；Data transmission module is used for each gas for inputting data processing module
Body concentration of component data and transformer know fault type diagnostic result and are uploaded to status monitoring assessment centers；The oil sample gathers mould
Block, Oil-gas Separation module, gas separation module, gas detection module, data processing module, data transmission module are sequentially connected.
Further, the oil sample acquisition module includes oil inlet pipe, oil return pipe, 2 fuel taps, air boost pumps；The oil-feed
One end of pipe and the fuel feeding valve of transformer are connected, and set fuel tap on oil inlet pipe, the other end of oil inlet pipe is connected with air boost pump；
One end of oil return pipe and the draining valve of transformer are connected, and fuel tap, the other end and air boost pump of oil return pipe are set on oil return pipe
Connection.
Further, the Oil-gas Separation module includes reducing piston pump.
Further, the gas separation module includes compound gas chromatographic column, and the compound gas chromatographic column sets 2.
Further, gas detection module includes resistor-type semiconductor gas sensor.
Further, the data processing module includes A/D conversion chips, microcontroller.
Further, the data transmission module includes communication card.
Further, the data processing module uses sample searching algorithm Fault Diagnosis Method of Power Transformer type, including following step
Suddenly：
（1）Set up failure sample storehouse
The failure sample of transformer dissolved in insulating oil when collecting more than 500 transformer true faults, and set up after training
Failure sample storehouse；If having n kind fault types after training；It is mixed with the whole of transformer dissolved in insulating oil during transformer true fault
Close gas and be characterized gas, if whole characteristic gas in failure sample storehouse are w；X is failure sample matrix, then failure sample
Matrix；
（2）Variable cluster is analyzed
Calculate the characteristic gas in the mixed gas dissolved in actual measurement transformer insulation oil and the failure sample in failure sample storehouse
Generic degree to diagnose the fault type that transformer is matched the most；It is exhausted that failure sample in the failure sample storehouse includes transformer
Spark in shelf depreciation, transformer insulation oil in edge oil overheat, transformer insulation oil and insulating paper overheat, transformer insulated oilpaper
High-energy discharge in high-energy discharge, transformer insulation oil and insulating paper in electric discharge, transformer insulation oil；Step includes：
1）Calculate the Euclidean distance of characteristic gas
Index is characterized with the characteristic gas dissolved in the transformer insulation oil of actual measurement, if the number of characteristic index is m, if actual measurement
Characteristic index vector is Y, then surveys characteristic index vector,；Reality is described with Euclidean distance respectively
Characteristic index vector Y and the distance of each row vectors of failure sample matrix X are surveyed, calculation formula is as follows：
；
Wherein i is failure sample matrix X line number,, j be characterized gas numbering,；
2）Calculate generic degree
IfTo survey the generic degree of transformer fault and each fault type in failure sample storehouse, thenCalculation formula such as
Under：
；
Compare the generic degree size of actual measurement transformer fault and each fault type in failure sample storehouse, find wherein generic degree
Maximum, then the event that the row vector of transformer fault the i-th row corresponding with failure sample matrix X is represented is surveyed
Barrier type is most matched, so as to be diagnosed to be actual measurement transformer fault and the fault type matched the most in failure sample storehouse.
Further, the fuel tap is flange-type fuel tap.
Further, the surface of the oil inlet pipe, the surface of oil return pipe are covered each by heating tape.
The present invention be successfully realized quickly, accurately and real-time detect the Dissolved Gases in Insulating Oil composition of transformer with
Concentration, it is to avoid there is provided for online evaluation the drawbacks of the monitoring means that is short of that steady in a long-term, precision is credible in transformer O＆M
Analyze the authentic data of running state of transformer and residual life.It is initiative to introduce the sample searching algorithm based on Euclidean distance
Fault type recognition, overcomes Dissolved Gases in Insulating Oil data ambiguity and applicable sex chromosome mosaicism, improves the standard of identification failure
True rate and promptness, and reached that electric power safety production risk, efficiency and cost integrate optimal target.
Brief description of the drawings
Fig. 1 is structural representation of the invention.
Embodiment
In order to be better understood from the present invention, the invention will be further described with specific embodiment below in conjunction with the accompanying drawings：
A kind of condition diagnosing system of transformer fault type includes oil sample acquisition module, Oil-gas Separation module, gas splitting die
Block, gas detection module, data processing module, data transmission module；Oil sample acquisition module is used to gather in transformer body
Insulating oil simultaneously inputs the insulating oil in the transformer body collected to Oil-gas Separation module；Oil-gas Separation module is used to separate
The mixed gas of insulating oil and dissolved in insulating oil in the transformer body of oil sample acquisition module collection will simultaneously be separated
Mixed gas is inputted to gas separation module；Gas separation module is used to separate the mixing separated from Oil-gas Separation module
Each gas component of gas simultaneously inputs each gas component separated to gas detection module；Gas detection module is used
The concentration of each gas component is simultaneously converted into telecommunications by the concentration of each gas component inputted in detection from gas separation module
Number input is to data processing module；Data processing module is dense for gathering each gas component that gas detection module is detected
The data of degree are simultaneously handled, stored, Fault Diagnosis Method of Power Transformer type, by each gas component concentrations data and transformer fault
Type diagnostic result is inputted to data transmission module；Data transmission module is used for each gas group for inputting data processing module
Divide concentration data and transformer to know fault type diagnostic result and be uploaded to status monitoring assessment centers；Oil sample acquisition module, oil gas
Separation module, gas separation module, gas detection module, data processing module, data transmission module are sequentially connected.
Oil sample acquisition module includes oil inlet pipe, oil return pipe, 2 fuel taps, air boost pumps；One end of oil inlet pipe becomes with electric power
Fuel tap is set on the fuel feeding valve connection of depressor, oil inlet pipe, the other end of oil inlet pipe is connected with air boost pump；One end of oil return pipe
It is connected with the draining valve of power transformer, fuel tap is set on oil return pipe, the other end of oil return pipe is connected with air boost pump；Fuel tap
For flange-type fuel tap, oil inlet pipe, oil return pipe use a diameter of 8 millimeters, density is 8.96 grams of copper tube per cubic centimeter, oil-feed
The surface of pipe, the surface of oil return pipe are covered each by heating tape, and air boost pump uses Miniature reciprocating air boost pump, oil flow rate
Degree is less than 0.5m/s.
Oil-gas Separation module includes reducing piston pump, and Oil-gas Separation module carries out Oil-gas Separation using degassing method is vacuumized,
By using using being moved repeatedly above and below reducing piston pump, multiple dilatation deaerates, compression gas collection, so that dissolved in insulating oil
Gas is separated out rapidly, and its degassing efficiency is can separate in oil more than 95% dissolved gas in 15 minutes, and its oil-gas room's volume is
350 milliliters.
Gas separation module includes compound gas chromatographic column, can be automatically separated H2 in mixed gas, CO, CO2, CH4,
The gas components such as C2H6, C2H4, C2H2, are combined gas chromatographic column and set 2, meet gas chromatographic column using the compound of GC series
Gas chromatographic column.
Gas detection module includes resistor-type semiconductor gas sensor, and its measurement accuracy is when the gas of dissolved in insulating oil
Repeatability when body content is more than 10 microlitres every liter is less than 10%, and the gas content of dissolved in insulating oil is not more than 10 microlitres every liter
When measurement reproducibility be less than 20%.
Data processing module includes A/D conversion chips, microcontroller, and A/D conversion chips are using more than 24 ADC series
TM7707 double channel As/D conversion chips；Microcontroller uses M058S Series of MCU.
Data transmission module includes communication card；Communication card uses Intel 9301CT communication cards.
Data processing module uses sample searching algorithm Fault Diagnosis Method of Power Transformer type, comprises the following steps：
The failure sample of transformer dissolved in insulating oil when collecting more than 500 transformer true faults, and set up after training
Failure sample storehouse；If having n kind fault types after training；It is mixed with the whole of transformer dissolved in insulating oil during transformer true fault
Close gas and be characterized gas, if whole characteristic gas in failure sample storehouse are w；X is failure sample matrix, then failure sample
Matrix
；
For example, when collecting 700 transformer true faults transformer dissolved in insulating oil mixed gas sample, and after training
Set up failure sample storehouse；Wherein 383 transformer fault samples belong to transformer overheat, and 317 transformer fault samples belong to
There are 6 kinds of fault types after transformer discharge, training, as shown in table 1, with transformer dissolved in insulating oil during transformer true fault
Whole mixed gas be characterized gas, characteristic gas is H2、CO、CO2、CH4、C2H6、C2H4、C2H2, it is complete in failure sample storehouse
Portion's characteristic gas is 7；X is failure sample matrix, then failure sample matrix
；
The transformer fault sample storehouse of table 1
（2）Variable cluster is analyzed
Calculate the characteristic gas in the mixed gas dissolved in actual measurement transformer insulation oil and the failure sample in failure sample storehouse
Generic degree to diagnose the fault type that transformer is matched the most；It is exhausted that failure sample in the failure sample storehouse includes transformer
Spark in shelf depreciation, transformer insulation oil in edge oil overheat, transformer insulation oil and insulating paper overheat, transformer insulated oilpaper
High-energy discharge in high-energy discharge, transformer insulation oil and insulating paper in electric discharge, transformer insulation oil；Step includes：
1）Calculate the Euclidean distance of characteristic gas
Index is characterized with the characteristic gas dissolved in the transformer insulation oil of actual measurement, if the number of characteristic index is m, if actual measurement
Characteristic index vector is Y, then surveys characteristic index vector,；Reality is described with Euclidean distance respectively
Characteristic index vector Y and the distance of each row vectors of failure sample matrix X are surveyed, calculation formula is as follows：
；
Wherein i is failure sample matrix X line number,, j be characterized gas numbering,；
2）Calculate generic degree
IfTo survey the generic degree of transformer fault and each fault type in failure sample storehouse, thenCalculation formula
It is as follows：
；
Compare the generic degree size of actual measurement transformer fault and each fault type in failure sample storehouse, find wherein generic degree
Maximum, then the event that the row vector of transformer fault the i-th row corresponding with failure sample matrix X is represented is surveyed
Barrier type is most matched, so as to be diagnosed to be actual measurement transformer fault and the fault type matched the most in failure sample storehouse.
The oil inlet pipe of oil sample acquisition module, oil return pipe are respectively connecting to fuel feeding valve, the draining valve of transformer, and will be adopted
The transformer insulation oil collected is transmitted into Oil-gas Separation module and is de-gassed.Oil-gas Separation module is by using vacuum outgas
Mode departs from, collects the mixed gas dissolved in transformer insulation oil, and by more than 0.2 MPa of carrier gas that mixed gas is defeated
Enter to gas separation module separation.Gas separation module is by being combined gas-chromatography post separation H2、CO、CO2、CH4、C2H6、C2H4、
C2H2Gas detection module detection is delivered to Deng each component gas, and by each component gas.Gas detection module passes through resistor-type
Semiconductor gas sensor detects each component gas being separated successively, and the concentration signal of each component gas is inputted
To data processing module conversion, storage, the numeral letter that data processing module conversion, storage are directly proportional to each component gas concentration
Number, inputted based on sample searching algorithm Fault Diagnosis Method of Power Transformer type, and by data signal and diagnostic result to data transfer mould
Block.Data transmission module transmits data signal by electric integrated data network using Intel 9301CT communication cards and diagnosis is tied
Fruit to status monitoring assessment centers are monitored for equipment operation maintenance personnel, analyze, called.It is molten in insulating oil by analyzing transformer
Gas is solved, and is analyzed to identify six kinds of common equipment fault types：Insulating oil overheat, insulating oil and insulating paper overheat, insulating oil
High-energy discharge in high-energy discharge, insulating oil and insulating paper in spark discharge, insulating oil in shelf depreciation, insulating oil, can sentence in paper
Disconnected inside transformer state, tracks the order of severity and development speed of exception, and takes corresponding malfunction elimination treatment measures.It is logical
The gas for crossing the dissolved in insulating oil of analysis transformer is can be found that under equipment normal operation state, due to the work in heat and electricity
Under, transformer insulation oil and solid insulating material go out degradation and decomposition a small amount of imflammable gas, but gas production rate relatively delays
Slowly；After there is latent sexual abnormality, by characteristic gas content in insulating oil, the traceable serious journey for judging that device interior is abnormal
Degree and development speed, gas content and gas production rate now whether there is for failure judgement, the order of severity and development trend more
Intuitively.
The present invention is not limited to above-described embodiment, the foregoing is only the preferable case study on implementation of the present invention
, it is not intended to limit the invention, any modification for being made within the spirit and principles of the invention, equivalent substitution and changes
Enter, should be included in the scope of the protection.
Claims (10)
1. a kind of condition diagnosing system of transformer fault type, it is characterised in that：Including oil sample acquisition module, Oil-gas Separation mould
Block, gas separation module, gas detection module, data processing module, data transmission module；The oil sample acquisition module is used to adopt
Collect the insulating oil in transformer body and input the insulating oil in the transformer body collected to Oil-gas Separation module；Oil gas
The gaseous mixture of insulating oil and dissolved in insulating oil that separation module is used to separate in the transformer body of oil sample acquisition module collection
Body simultaneously inputs the mixed gas separated to gas separation module；Gas separation module is used to separate from Oil-gas Separation module
In each gas component of mixed gas for separating and each gas component separated inputted to gas detect mould
Block；Gas detection module is used to detect the concentration of each gas component inputted from gas separation module and by each gas component
Concentration be converted into electric signal and input to data processing module；Data processing module is detected for gathering gas detection module
Each gas component concentrations data and handled, stored, Fault Diagnosis Method of Power Transformer type, by each gas component concentrations
Data and transformer fault type diagnostic result are inputted to data transmission module；Data transmission module is used for data processing module
Each gas component concentrations data and transformer of input know fault type diagnostic result and are uploaded to status monitoring assessment centers；Institute
State oil sample acquisition module, Oil-gas Separation module, gas separation module, gas detection module, data processing module, data transfer mould
Block is sequentially connected.
2. a kind of condition diagnosing system of transformer fault type according to claim 1, it is characterised in that：The oil sample
Acquisition module includes oil inlet pipe, oil return pipe, 2 fuel taps, air boost pumps；One end of the oil inlet pipe and the fuel feeding valve of transformer
Fuel tap is set on connection, oil inlet pipe, the other end of oil inlet pipe is connected with air boost pump；One end of oil return pipe and the row of transformer
Fuel tap is connected, and sets fuel tap on oil return pipe, the other end of oil return pipe is connected with air boost pump.
3. a kind of condition diagnosing system of transformer fault type according to claim 1, it is characterised in that：The oil gas
Separation module includes reducing piston pump.
4. a kind of condition diagnosing system of transformer fault type according to claim 1, it is characterised in that：The gas
Separation module includes compound gas chromatographic column, and the compound gas chromatographic column sets 2.
5. a kind of condition diagnosing system of transformer fault type according to claim 1, it is characterised in that：Gas is detected
Module includes resistor-type semiconductor gas sensor.
6. a kind of condition diagnosing system of transformer fault type according to claim 1, it is characterised in that：The data
Processing module includes A/D conversion chips, microcontroller.
7. a kind of condition diagnosing system of transformer fault type according to claim 1, it is characterised in that：The data
Transport module includes communication card.
8. a kind of condition diagnosing system of transformer fault type according to claim 1, it is characterised in that：The data
Processing module uses sample searching algorithm Fault Diagnosis Method of Power Transformer type, comprises the following steps：
（1）Set up failure sample storehouse
The failure sample of transformer dissolved in insulating oil when collecting more than 500 transformer true faults, and set up after training
Failure sample storehouse；If having n kind fault types after training；It is mixed with the whole of transformer dissolved in insulating oil during transformer true fault
Close gas and be characterized gas, if whole characteristic gas in failure sample storehouse are w；X is failure sample matrix, then failure sample
Matrix；
（2）Variable cluster is analyzed
Calculate the characteristic gas in the mixed gas dissolved in actual measurement transformer insulation oil and the failure sample in failure sample storehouse
Generic degree to diagnose the fault type that transformer is matched the most；It is exhausted that failure sample in the failure sample storehouse includes transformer
Spark in shelf depreciation, transformer insulation oil in edge oil overheat, transformer insulation oil and insulating paper overheat, transformer insulated oilpaper
High-energy discharge in high-energy discharge, transformer insulation oil and insulating paper in electric discharge, transformer insulation oil；Step includes：
1）Calculate the Euclidean distance of characteristic gas
Index is characterized with the characteristic gas dissolved in the transformer insulation oil of actual measurement, if the number of characteristic index is m, if actual measurement
Characteristic index vector is Y, then surveys characteristic index vector,；Reality is described with Euclidean distance respectively
Characteristic index vector Y and the distance of each row vectors of failure sample matrix X are surveyed, calculation formula is as follows：
；
Wherein i is failure sample matrix X line number,, j be characterized gas numbering,；
2）Calculate generic degree
IfTo survey the generic degree of transformer fault and each fault type in failure sample storehouse, thenCalculation formula such as
Under：
；
Compare the generic degree size of actual measurement transformer fault and each fault type in failure sample storehouse, find wherein generic degree
Maximum, then the event that the row vector of transformer fault the i-th row corresponding with failure sample matrix X is represented is surveyed
Barrier type is most matched, so as to be diagnosed to be actual measurement transformer fault and the fault type matched the most in failure sample storehouse.
9. a kind of condition diagnosing system of transformer fault type according to claim 2, it is characterised in that：The fuel tap
For flange-type fuel tap.
10. a kind of condition diagnosing system of transformer fault type according to claim 2, it is characterised in that：It is described enter
The surface of oil pipe, the surface of oil return pipe are covered each by heating tape.
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|---|---|---|---|
| CN201710434086.2A CN107228913B (en) | 2017-06-09 | 2017-06-09 | State diagnosis system for fault type of transformer |
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| CN107656161A (en) * | 2017-11-14 | 2018-02-02 | 国网山东省电力公司电力科学研究院 | A kind of diagnostic method and system of natural esters Insulation Oil Transformer internal fault |
| CN109187809A (en) * | 2018-10-27 | 2019-01-11 | 国网山东省电力公司电力科学研究院 | A kind of Gases Dissolved in Transformer Oil data generate in real time and analysis system |
| CN109738595A (en) * | 2019-03-07 | 2019-05-10 | 福建工程学院 | A kind of system and method based on Internet of Things detection transformer fault |
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| CN111220758A (en) * | 2019-10-25 | 2020-06-02 | 大唐水电科学技术研究院有限公司 | Remote control analysis system for gas chromatographic analysis of transformer oil |
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| CN112924325A (en) * | 2020-12-30 | 2021-06-08 | 广东电网有限责任公司电力科学研究院 | Gas-insulated transformer monitoring method and device based on mixed gas |
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| CN114636776A (en) * | 2022-03-21 | 2022-06-17 | 南京智鹤电子科技有限公司 | Transformer fault prediction method based on monitoring of dissolved gas in transformer oil |
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