CN106570644A - Power transmission and transformation equipment quantization evaluation method based on statistical tool - Google Patents
Power transmission and transformation equipment quantization evaluation method based on statistical tool Download PDFInfo
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Abstract
The invention discloses a power transmission and transformation equipment quantization evaluation method based on a statistical tool. The method comprises the following steps of establishing a quantization index system of power transmission and transformation equipment, wherein a power transmission and transformation equipment health state evaluation factor includes an evaluation factor of Oil-immersed power transmission and transformation equipment and evaluation factors of other power transmission and transformation equipment; collecting historical state data and current state data of the power transmission and transformation equipment; using a statistical tool SPSS to carry out test data normal processing on the collected data, carrying out preprocessing on an abnormal value and reserving an overtop abnormal value which exceeds a range and is generated because of a power transmission and transformation equipment fault reason; through a public coefficient analysis method, determining relevance of each variable in the collected data; through a public factor correlation analysis method, acquiring a contribution value of each evaluation index during total health condition evaluation of the power transmission and transformation equipment; establishing a power transmission and transformation equipment health index evaluation model, calculating a power transmission and transformation equipment health index, and according to the health index, evaluating the total health condition of the power transmission and transformation equipment. In the invention, a total health state of a transformer can be comprehensively evaluated.
Description
Technical field
The present invention relates to power transmission and transformation equipment state security technology area, and in particular to a kind of power transmission and transformation based on statistical tool
Equipment quantitative estimation method.
Background technology
It is annual because the direct, indirect expense produced by scheduled outage maintenance is digital huge, its social influence is even more and is difficult to
Weigh.For the defect of the power transmission and transforming equipment that accurately and efficiently finds to put into operation, fault rate is reduced, reduce operation risk, at present, state
The inside and outside mode for taking repair based on condition of component.This maintenance mode relies on power equipment health status and risk science, comprehensively
Ground evaluation index system and computational methods.Therefore, it is week power transmission and transforming equipment life-cycle for power transmission and transforming equipment health Evaluation
Important link in phase assessment.
There is research using a certain parameter of equipment as principal character amount, the insulated aging life-span of power transmission and transforming equipment is commented
Estimate, but, the characteristic parameter for reflecting defeated power transmission and transforming equipment health status is to be related to many-sided multivariable index system, using list
Parameter is estimated the accurate evaluation that cannot comprehensively realize to power transmission and transforming equipment health status.
At present, the determination of each index weights, generally according to expertise or technical standard, does not carry out depth to index relation
Enter research.Artificial subjective factorss are larger, cause there is larger error to the assessment of power transmission and transforming equipment health status then.
The content of the invention
To solve the deficiency that prior art is present, the invention discloses a kind of power transmission and transforming equipment based on statistical tool quantifies
Appraisal procedure, the purpose of the present invention is to set up Quantization Index System, using statistical tool SPSS (statistical product
And service solutions), between each parameter of research power transmission and transforming equipment on the basis of relation, show that public parameter is closed
Connection degree and the contribution margin to health index, are finally determined quantization weight and are referred to based on the health of Contribution Analysis using statistical method
Number evaluation model, improves power transmission and transforming equipment forecasting accuracy, it is ensured that the reliable and stable operation of power transmission and transforming equipment.
For achieving the above object, concrete scheme of the invention is as follows：
A kind of power transmission and transforming equipment quantitative estimation method based on statistical tool, comprises the following steps：
The Quantization Index System of power transmission and transforming equipment is set up, wherein, power transmission and transforming equipment health status evaluation factor is specifically included
The factor of evaluation of oil immersed type power transmission and transforming equipment and the factor of evaluation of other power transmission and transforming equipments；
The historical state data and current status data of collection power transmission and transforming equipment；
Pretreatment is carried out to exceptional value to the process of test data normal stateization to the data for gathering using statistical tool SPSS,
Retain the off-limits too high exceptional value that power transmission and transforming equipment failure cause is produced；
By common coefficient analyze method to determine gathered data in each variable relatedness；
By common factor correlation analysis method, show that each evaluation index is evaluating power transmission and transforming equipment general health
When contribution margin；
Power transmission and transforming equipment health index evaluation model is set up, power transmission and transforming equipment health index is calculated, is commented according to health index
Valency power transmission and transforming equipment holistic health.
Further, the historical state data of the electric power power transmission and transforming equipment includes the fortune inspection number of electric power power transmission and transforming equipment
According to, family's defect, equipment essential information, load data, the current status data of electric power power transmission and transforming equipment includes the defeated change of electric power
The routine test data of electric equipment.
Further, the method analyzed by common coefficient to determine gathered data in each variable relatedness when, it is first
First determine there be the non-quantization factor and common factor of certain impact on test result, common factor is got over the correlation degree of each variable
High coefficient value is bigger, and the correlation degree between common factor is mutual.
Further, common factor correlation analysis method specifically, is drawn public between multivariate using statistical tool
Correlate degree analysis chart, show that relation and each evaluation index between each parameter are evaluating power transmission and transforming equipment totality according to the figure
Contribution margin during health status.
Further, power transmission and transforming equipment health index calculation procedure is mainly as follows：
1) on the basis of common factor correlation analysis, contribution margin of the common factor to health index is analyzed；
2) weight of each health indicator is determined；
3) specified according to expertise and standard, formulate modifying factor；
4) by weight through modifying factor amendment；
5) health index is drawn, power transmission and transforming equipment holistic health is evaluated.
Further, oil immersed type power transmission and transforming equipment carries out layering assessment, computing formula according to different parts to health status
It is as follows：
Other power transmission and transforming equipments carry out layering assessment, computing formula such as formula (2) to health status according to different parts：
In formula, KiFor weight, HIFiFor health index, HIFmaxFor health status it is optimal when corresponding health index.
Further, the factor of evaluation of oil immersed type power transmission and transforming equipment includes：Solution gas in the paper insulation degree of polymerization, furfural, oil
Body, moisture, acid number, breakdown voltage, oil loss factor, infrared measurement of temperature, defective data, load histories, visual examination, equipment
It is essential information and routine test, sleeve pipe-outward appearance, sleeve pipe-infrared measurement of temperature, sleeve pipe-oil dissolved gas, sleeve pipe-insulation resistance, cold
But system-tour record, shunting switch-tour record, shunting switch-service data, shunting switch-acting characteristic, tap are opened
Decomposition gas and non-ionizing energy loss-tour record in pass-oil.
Further, the factor of evaluation of other power transmission and transforming equipments in power transmission and transforming equipment health status evaluation factor includes：
Infrared measurement of temperature, defective data, load histories, visual examination, essential information and routine test and non-ionizing energy loss-tour record.
Further, defective data includes equipment itself and family's defect two parts, defect record should include operational inspection,
The defect found in maintenance tour, live detection, maintenance process, fault grading and defect elimination disposition.
Further, equipment essential information mainly includes power transmission and transforming equipment name plate information, electric pressure, capacity, short circuit resistance
It is anti-；Routine test includes winding D.C. resistance, winding dielectric dissipation factor, capacitance, frequency response test, winding insulation electricity
Resistance, absorptance or polarization index and leakage current.
Further, power transmission and transforming equipment health status classification is carried out according to health index：
Health index 85～100, power transmission and transforming equipment health status：Situation is splendid；
Health index 70～85, power transmission and transforming equipment health status：Situation is good；
Health index 50～70, power transmission and transforming equipment health status：Well；
Health index 30～50, power transmission and transforming equipment health status：It is poor；
Health index 0～30, power transmission and transforming equipment health status：Deterioration is serious.
Beneficial effects of the present invention：
The present invention considers transformator history and current status data, including essential information, routine test, O＆M number
According to.
The present invention adopts statistical tool, based on test data, for relation and each parameter between each parameter of transformator
Contribution margin to total health indicator, is analyzed research, derives each index weights, provides the calculating process of health index.
The present invention sets up power transformer index system and starts with from layering, and then by using statistical tool SPSS, to 87
Group transformer oil sample test data is analyzed, and have studied the relation and each parameter between each factor to total health index
Contribution margin.Index system can be realized weighting using statistical tool SPSS, set up health indicator computation model.Future can grind this
Study carefully and be extended to power transmission and transforming equipment evaluation field popularization and application.
Health index assessment models expanded application based on SPSS analyses adopts SPSS in power transmission and transforming equipment to various kinds of equipment
It is analyzed, gives weight, and carries out comprehensively its health status of layering point index evaluation.
Description of the drawings
Fig. 1 common factor correlation analysis figures；
Health index evaluation models of the Fig. 2 based on Contribution Analysis；
Fig. 3 power transmission and transforming equipment health status evaluations.
Specific embodiment：
Below in conjunction with the accompanying drawings the present invention is described in detail：
The present invention is set up based on the power transmission and transforming equipment general health assessment models of health index, and the model is to power transmission and transformation
Equipment layering, sub-unit carry out many reference amounts statistical analysiss, and for historical data, (fortune inspection data, family's defect, equipment is believed substantially
Breath, load) and two aspects of as-is data (routine test data), and different parts, set up Quantization Index System.Proposition is adopted
It is each in research power transmission and transforming equipment with statistical tool SPSS (statistical product and service solutions)
Between parameter on the basis of relation, the public parameter degree of association and the contribution margin to health index are drawn, finally using statistical method
Determine quantization weight and the health index evaluation model based on Contribution Analysis.Finally, with the transformation of Shandong Power actual motion
As a example by device, demonstrate the effectiveness based on health index power transmission and transformation equipment state assessment models, be power transmission and transformation equipment state evaluation,
Maintenance provides scientific basis.
In order to study electric power power transmission and transforming equipment health status, it is necessary first to set up index system.Reflection power transmission and transforming equipment is good for
The characteristic quantity of health state includes electrology characteristic, chemical characteristic, mechanical property and outward appearance presentation.It is divided into body, set from part aspect
Pipe, shunting switch, cooling system and non-ionizing energy loss, each several part proportion in evaluation calculates anti-by final health index
Mirror and.
First, Oil-Paper Insulation test
Because oilpaper is under electric, hot service condition, and with oxygen, water function excessive in environment, degrade, can
By the aging material of generation of degrading in test oil (such as CO, CO2, furfural etc.) and the paper insulation degree of polymerization, weigh transformator health
Situation.
(1) the paper insulation degree of polymerization
The degree of polymerization reflects the tensile strength mechanical property of paper, and with new diseases, degree of polymerization criterion also can constantly more
Newly.At present, it is believed that the new paper insulated degree of polymerization of transformator is mostly 1000 or so.The paper insulation degree of polymerization criterion such as institute of table 1
Show.
The paper insulation degree of polymerization limit value of table 1
(2) furfural
In cardboard deterioration process, after cellulose macromolecule degraded, a kind of main oxygen helerocyclics for just being formed.Defeated change
Electric equipment running, affecting the factor of furfural content has many aspects, including oilpaper ratio and the manufacturing process of itself, defeated change
Electric equipment run time, service condition, load factor, transformer's oil-treatment mode.It is old to there is insulation hot-spot in power transmission and transforming equipment
The failures such as change, overload can also cause furfural content to raise., by transformer oil sampled measurements, content is low, shows defeated for furfural content
Converting equipment oilpaper intensity is high, and performance is good, and power transmission and transforming equipment integral status are good.
(3) oil dissolved gas
Oil dissolved gas are a kind of wide variety of malfunction monitoring and preventive means.Power transmission and transforming equipment oil and paper oil insulation
There is the change of molecular structure in system, through series of chemical various features gas is produced under electric heating stress long term
Body, such as hydrogen, Hydrocarbon, hydro carbons.
Development certain methods, can be used to differentiating the ratio of oil dissolved gas to judge power transformer interior fault
Such as：Overheated, bad electrical contact, shelf depreciation etc..CO/CO2＜ 5, shows oilpaper fast degradation.CO2During/CO ＞ 7, show insulation
Aging or large area cryogenic overheating failure.Certainly, when power transmission and transforming equipment breaks down, transformer oil can also decomposite CO, CO2
Gas.Either the deterioration of power transmission and transforming equipment oilpaper or failure, can all be attributed to power transmission and transforming equipment health status, therefore, it is comprehensive
Consider CO, CO2。
2nd, operation/maintenance data and routine test
Equipment essential information mainly includes transformator name plate information, electric pressure, capacity, short-circuit impedance etc..Routine test
Including winding D.C. resistance, winding dielectric dissipation factor, capacitance, frequency response test, winding insulation resistance, absorptance or pole
Change index, leakage current etc., if meet technical stipulation requirement.
(1) defective data
Including equipment itself and family's defect two parts.Defect record should be maked an inspection tour comprising operational inspection, maintenance, band electric-examination
The defect found in survey, maintenance process, fault grading and defect elimination disposition.
(2) load histories
In nearly 12 months, the maximum load value for monthly recording transships or long-term emergent overload operating provisions equipment, can make
Transformer performance is deteriorated.
(3) infrared measurement of temperature
Infrared thermal imagery can detect transformer body, pigtail splice, cable termination, and Infrared Thermogram shows should be as good as room temperature
Liter, the temperature difference and/or relative temperature difference, can disclose inside transformer hidden danger.
(4) visual examination
Main to be recorded by consulting tour, equipment appearance is intact, foreign；Just whether lead and bus-bar, joint
Often；Whether ground connection is reliable；Noise and vibration；Whether unobstructed foreign in air channel etc..
Three multivariate analyses based on statistical tool
(1) data normal state
The important assumed condition of multivariate analyses is that data belong to normal distribution.Result of the test is usual and off-gauge normal state
Distribution, but there is the degree of deviation to some extent.First, by SPSS instruments, nonnormal data is carried out using transformation tool
Normal stateization process.SPSS is a kind of data statistic analysis instrument, is easy to data to dock, with built-in VBA language, powerful statistics
Processing function.After processing test data normal stateization using SPSS, there is off-limits too high exceptional value in initial data,
Can be ignored in multivariate analyses, need to carry out exceptional value pretreatment, retain the exception that power transmission and transforming equipment failure cause is produced
Value.
(2) common coefficient analysis
The result of a few class power transmission and transforming equipment test events, it is understood that there may be unknown relatedness, is analyzed by common coefficient
Method is determining the relatedness of each variable.SPSS instruments are utilized herein, statistical analysiss are carried out to multiple test result, draw not
With contacting between test event and impact of the public influence factor to each project.
Square frame represents test result in Fig. 1, and e1～e12 represents the non-quantization factor for having certain impact on test result, example
Such as ambient temperature and humidity, electromagnetic environment interference, test error etc..C1～C5 be common factor, their correlation degrees with each variable
Higher, coefficient value is bigger.Correlation degree between C1～C5 is mutual, is represented with four-headed arrow.
(3) common factor correlation analysis
In electric power power transmission and transforming equipment health status are evaluated, the performance condition of Oil-Paper Insulation be most important index it
One.Generally, the life-span of Oil-Paper Insulation directly determine the oil-filled transformer life-span.Therefore, herein mainly for 87 groups of changes
Depressor oil sample test data, carries out statistical analysiss, and the relation between each parameter is have studied first, secondly, draws each evaluation index
Contribution margin when power transmission and transforming equipment general health is evaluated.Common factor correlation analysis are shown in Fig. 1 between multivariate.
As shown in figure 1, with close property or the material with the generation of same chemical reaction, being divided into one group.Electricity,
Under hot service condition, when the oilpaper aging or transformator of degraded breaks down, decomposition gas CO, CO in oil2Typically together and
Raw chemical product；Transformator well cuts, moisture are higher, more easily puncture, the big parameter of this impact relation, divide
For same group.H2、CH4、C2H6It is the parameter of one group of highlights correlations, it is related to common factor C3.
Positive association degree is most strong between C2 and C3, is 0.53；The degree of association of C1 and C3 is taken second place, and coefficient of association is 0.47；C4 with
It is then negatively correlated relation between C5.Relation analyses between each characteristic parameter and common factor, to further determine that ginseng
Amount weight and health index are laid a good foundation.
4th, power transmission and transforming equipment health index evaluation model
Set up the health index model based on SPSS analyses；The process of setting up of the model includes：
Based on the multivariate analyses of statistical tool, nonnormal data is carried out into normal state process using transformation tool；
Using SPSS instruments, statistical analysiss are carried out to multiple test result, draw contact between different test events and
Impact of the public influence factor to each project；
Power transmission and transforming equipment health index calculation procedure is mainly as follows：
1) on the basis of common factor relation analyses, contribution margin of the common factor to health index HI is analyzed；
2) each health indicator weight is further determined；
3) specified according to expertise and standard, formulate modifying factor；
4) by weight through modifying factor amendment；
5) health index is drawn, power transmission and transforming equipment holistic health is evaluated.
Wherein, the first step is crucial step, and based on the health index evaluation model of Contribution Analysis Fig. 2 is seen.
As shown in Fig. 2 impacts of the C4 to health index is maximum, including breakdown voltage, furfural, moisture these three ginsengs
Amount, therefore, give highest weighting to it in appraisement system.Power transmission and transforming equipment water content in oil is in transformer insulated deterioration in characteristics mistake
Journey, has played important function.Furfural content to a certain degree reflects the performance of power transmission and transforming equipment Oil-Paper Insulation, and furfural content is got over
Height, then show that insulating properties are poorer.The packet and weight drawn by statistical analysiss is basically identical with existing conclusion.To defeated change
During electric equipment health status evaluation, weight distribution is also needed further using correction factor, be corrected for, evaluation procedure is more pasted
Nearly production scene reality.Finally, the weight and health index HIF of each main project are obtained.
Oil immersed type power transmission and transforming equipment carries out layering assessment, computing formula such as formula (1) to health status according to different parts.
Other power transmission and transforming equipments carry out layering assessment, computing formula such as formula (2) to health status according to different parts.
In formula, KiFor weight, HIFiFor health index, HIFmaxFor health status it is optimal when corresponding health index.
The health index of table 2 is classified
The transformator health status evaluation factor weight of table 3 and score value
Other the power transmission and transforming equipment health status evaluation factor weights of table 4 and score value
More detailed examples of implementation：
The main transformer device of 110kV Zhenyangs station 2, specifications and models are SZ10-50000/110, and electric pressure is 220kV, and capacity is
50MVA, the type of cooling is self cooling, and Shandong Luneng MountTaielectric Equipment Co., Ltd's production, in April, 2008 puts into operation, and 22 have been run
Year, scrap the time limit 30 years.
No. 2 main transformer devices of 220kV Bao Dou transformer stations, specifications and models are SFPSZ9-150000/220, and electric pressure is 220kV,
Capacity is 150MVA, and Shandong Power Equipment Co., Ltd.'s production, in December, 2002 puts into operation, run 14 years, scraps the time limit 30 years.
The operation of two transformators and test data are shown in Table 5.
Sequence number (1) the correspondence main transformer data of Zhenyang station 2, using formula (1), calculate 110kV Zhenyangs station 2 in table 4
Number transformator HIF% is 49.182, and interval positioned at 30%～50%, overall operation situation is poor, is close to or only slight beyond standard
Limit value, should monitor operation, and interruption maintenance is arranged in good time.The equipment actual state：Hydrogen is exceeded serious, and accounts for hydrogen hydrocarbon total amount
More than 90%, total hydrocarbon is exceeded, CH4Total hydrocarbon more than 75% is accounted for, characteristic gas criterion is judged as shelf depreciation.Three-ratio method is encoded to
010, it is judged as shelf depreciation.High-pressure side neutral bushing dielectric loss is exceeded, the close warning value of capacitance, and main transformer routine test is just
Often.To sum up, the outfit of equipment operation conditions is poor, and be close to scrap the time limit.It follows that the meter that this paper health index methods draw
Calculation value is coincide substantially with actual state.
For comprehensive verification model validation, different electric pressures are chosen, different operating modes and the 220kV with different defects are precious
All station owner's transformators, wherein sequence number (2) is its essential information and test data.Compared with example 1, though equally there is defect,
Both properties are different, and test data also differs larger, and it is 78.052 to be calculated HIF through model, and model result shows this
Equipment operation condition is good.Actual operating state：The transformer station high-voltage side bus 14 years, indices are normal, without bad condition, though
There is subcooler aspect major defect, eliminate, current normal operation.Evaluation result and actual state, coincide preferable.
The transformer station high-voltage side bus of table 5 and test data
Additionally, the concordance more preferably to verify the model evaluation, chooses the different electric parameters of Shandong Power 12 and defect
The 110kV transformators of property, each transformator health index HIF is shown in Fig. 3.
In result of calculation, minima is 54.346, and maximum is 78.326, and in 50%～70% interval 25% is accounted for,
70%～85% interval, 75% is accounted for, in order, distinct transformer will due to family's defect or annual test overhaul for overall operation
Expire, health index is low, be consistent substantially with practical situation.By from the Shandong Power selection multiple stage difference operation phase and electrically
Parameter, the transformator of different evaluation state, is calculated and compared, and verifies the effectiveness of evaluation model and computational methods.
Although the above-mentioned accompanying drawing that combines is described to the specific embodiment of the present invention, not to present invention protection model
The restriction enclosed, one of ordinary skill in the art should be understood that on the basis of technical scheme those skilled in the art are not
Need the various modifications made by paying creative work or deformation still within protection scope of the present invention.
Claims (10)
1. a kind of power transmission and transforming equipment quantitative estimation method based on statistical tool, is characterized in that, comprise the following steps：
The Quantization Index System of power transmission and transforming equipment is set up, wherein, power transmission and transforming equipment health status evaluation factor specifically includes oil immersion
The factor of evaluation of formula power transmission and transforming equipment and the factor of evaluation of other power transmission and transforming equipments；
The historical state data and current status data of collection power transmission and transforming equipment；
Pretreatment is carried out to exceptional value to the process of test data normal stateization to the data for gathering using statistical tool SPSS, is retained
The off-limits too high exceptional value that power transmission and transforming equipment failure cause is produced；
By common coefficient analyze method to determine gathered data in each variable relatedness；
By common factor correlation analysis method, draw each evaluation index when evaluating power transmission and transforming equipment general health
Contribution margin；
Power transmission and transforming equipment health index evaluation model is set up, power transmission and transforming equipment health index is calculated, evaluates defeated according to health index
Converting equipment holistic health.
2. a kind of power transmission and transforming equipment quantitative estimation method based on statistical tool as claimed in claim 1, is characterized in that, described
The historical state data of electric power power transmission and transforming equipment includes fortune inspection data, family's defect of electric power power transmission and transforming equipment, and equipment is believed substantially
Breath, load data, the current status data of electric power power transmission and transforming equipment includes the routine test data of electric power power transmission and transforming equipment.
3. a kind of power transmission and transforming equipment quantitative estimation method based on statistical tool as claimed in claim 1, is characterized in that, pass through
Common coefficient analysis method to determine gathered data in each variable relatedness when, it is first determined have one to test result
Be fixed the non-quantization factor and common factor of sound, common factor is bigger with the higher coefficient value of the correlation degree of each variable, it is public because
Correlation degree between element is mutual.
4. a kind of power transmission and transforming equipment quantitative estimation method based on statistical tool as claimed in claim 1, is characterized in that, public
Correlate degree analysis method specifically, using statistical tool common factor correlation analysis figure between multivariate is drawn, according to
The figure draws the contribution margin of the relation between each parameter and each evaluation index when power transmission and transforming equipment general health is evaluated.
5. a kind of power transmission and transforming equipment quantitative estimation method based on statistical tool as claimed in claim 1, is characterized in that, defeated change
Electric equipment health index calculation procedure is mainly as follows：
1) on the basis of common factor correlation analysis, contribution margin of the common factor to health index is analyzed；
2) weight of each health indicator is determined；
3) specified according to expertise and standard, formulate modifying factor；
4) by weight through modifying factor amendment；
5) health index is drawn, power transmission and transforming equipment holistic health is evaluated.
6. a kind of power transmission and transforming equipment quantitative estimation method based on statistical tool as claimed in claim 5, is characterized in that, oil immersion
Formula power transmission and transforming equipment carries out layering assessment according to different parts to health status, and computing formula is as follows：
Other power transmission and transforming equipments carry out layering assessment, computing formula such as formula (2) to health status according to different parts：
In formula, KiFor weight, HIFiFor health index, HIFmaxFor health status it is optimal when corresponding health index.
7. a kind of power transmission and transforming equipment quantitative estimation method based on statistical tool as claimed in claim 1, is characterized in that, oil immersion
The factor of evaluation of formula power transmission and transforming equipment includes：The paper insulation degree of polymerization, furfural, oil dissolved gas, moisture, acid number, breakdown voltage,
Oil loss factor, infrared measurement of temperature, defective data, load histories, visual examination, equipment essential information and routine test, set
Pipe-outward appearance, sleeve pipe-infrared measurement of temperature, sleeve pipe-oil dissolved gas, sleeve pipe-insulation resistance, cooling system-tour record, tap
Switch-make an inspection tour decomposition gas and non-electrical in record, shunting switch-service data, shunting switch-acting characteristic, shunting switch-oil
Amount protection-make an inspection tour record；
The factor of evaluation of other power transmission and transforming equipments in power transmission and transforming equipment health status evaluation factor includes：Infrared measurement of temperature, defect
Data, load histories, visual examination, essential information and routine test and non-ionizing energy loss-tour record.
8. a kind of power transmission and transforming equipment quantitative estimation method based on statistical tool as claimed in claim 7, is characterized in that, defect
Data include equipment itself and family's defect two parts, and defect record should be comprising operational inspection, maintenance tour, live detection, inspection
The defect found during repairing, fault grading and defect elimination disposition.
9. a kind of power transmission and transforming equipment quantitative estimation method based on statistical tool as claimed in claim 1, is characterized in that, equipment
Essential information mainly includes power transmission and transforming equipment name plate information, electric pressure, capacity, short-circuit impedance；Routine test includes that winding is straight
Leakage resistance, winding dielectric dissipation factor, capacitance, frequency response test, winding insulation resistance, absorptance or polarization index and let out
Leakage current.
10. a kind of power transmission and transforming equipment quantitative estimation method based on statistical tool as claimed in claim 1, is characterized in that, root
Power transmission and transforming equipment health status classification is carried out according to health index：
Health index 85～100, power transmission and transforming equipment health status：Situation is splendid；
Health index 70～85, power transmission and transforming equipment health status：Situation is good；
Health index 50～70, power transmission and transforming equipment health status：Well；
Health index 30～50, power transmission and transforming equipment health status：It is poor；
Health index 0～30, power transmission and transforming equipment health status：Deterioration is serious.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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