CN102522705A - Transformer maintenance method and device - Google Patents
Transformer maintenance method and device Download PDFInfo
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- CN102522705A CN102522705A CN2011103733015A CN201110373301A CN102522705A CN 102522705 A CN102522705 A CN 102522705A CN 2011103733015 A CN2011103733015 A CN 2011103733015A CN 201110373301 A CN201110373301 A CN 201110373301A CN 102522705 A CN102522705 A CN 102522705A
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Abstract
The invention provides a transformer maintenance method, which comprises the steps of: according to the history fault situations and the treatment measures of an oil-immersed transformer, building fault diagnosis guidelines, wherein the fault diagnosis guidelines comprise a fault part library, a defect description library, a symptom library, a fault cause library and a treatment measure library; building an association relationship among the fault part library, the symptom library, the defect description library, the fault cause library and the treatment measure library to form a fault diagnosis knowledge library; obtaining the actual symptom of the oil-immersed transformer; and matching the actual symptom and the actual defect description with the fault diagnosis knowledge library to obtain corresponding treatment measures. The invention additionally provides a transformer maintenance device, which has the advantages that the device can be used for the fault pre-diagnosis of the oil-immersed transformer, the power operation cost is reduced and the working efficiency is improved.
Description
Technical field
The present invention relates to field of electrical equipment, be specifically related to a kind of transformer maintaining method and device.
Background technology
In the transmission and delivery process of electric energy, power transformer is the core of power conversion, transmission, is the only way which must be passed of national economy all trades and professions and huge numbers of families' energy source, is the equipment of most important and most critical in the electrical network.And transformer is in running, owing to receive influencing factors such as environment and itself be aging, causes the decline of electric property, insulation property and mechanical performance etc., thereby possibly produce various faults.For example the common faults that is in operation of oil-filled transformer has the fault of winding, sleeve pipe and shunting switch and iron core, fuel tank and other annex etc.
At present oil-filled transformer is still rested on when fault takes place, just remove analysis of failure, write down corresponding information, according to the information recorded analysis, obtain measures areput then; Mainly be through manual analysis, inefficiency; Can not before fault takes place, carry out effective accident analysis, to prevent the generation of fault, equipment damages easily, has strengthened the operation power cost.
Summary of the invention
Order of the present invention is to propose a kind of transformer maintaining method, can before fault takes place, carry out analyzing and testing, before fault takes place, takes preventive measures, and reduces the operation power cost; Increase work efficiency.
The technical scheme that adopts to above-mentioned purpose is:
A kind of transformer maintaining method comprises step:
(1) according to the historical failure situation and the treatment measures thereof of oil-filled transformer, sets up the failure diagnosis guide rule; Said failure diagnosis guide rule comprises: trouble unit storehouse, Symptom storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse;
(2) set up the incidence relation in said trouble unit storehouse, said Symptom storehouse, said failure cause storehouse and said treatment measures storehouse and the incidence relation in said trouble unit storehouse, said sign phenomenon storehouse, said failure cause storehouse and said treatment measures storehouse, form fault diagnosis knowledge base;
(3) virtual condition parameter, equipment nameplate parameter and the actual defects of obtaining oil-filled transformer are described;
Carry out the fault diagnosis algorithm analysis according to said virtual condition parameter and said equipment nameplate parameter, obtain actual sign phenomenon;
(4) said actual sign phenomenon, the description of said actual defects are mated with said fault diagnosis knowledge base, obtain the corresponding processing measure.
The present invention passes through historical failure situation and the corresponding processing measure to the oil-filled transformer of record, sets up the failure diagnosis guide rule; Through the failure diagnosis information model is set up in the trouble unit in the failure diagnosis guide rule, Symptom storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse; Promptly be the incidence relation of setting up trouble unit, Symptom storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse in the failure diagnosis guide rule, form fault diagnosis knowledge base; In the transformer actual moving process, obtain its actual state parameter, equipment nameplate parameter and actual defects and describe, carry out the fault diagnosis algorithm analysis then, obtain actual sign phenomenon; Actual sign phenomenon and actual defects be described in the fault diagnosis knowledge base mate, obtain the corresponding processing measure.According to the inventive method, can be according to equipment running, analyze in advance and obtain the fault that possibly occur, take preventive measures, can reduce the operation power cost; Increase work efficiency.
The present invention also aims to propose a kind of transformer attending device, can before fault takes place, carry out analyzing and testing, before fault takes place, take preventive measures, reduce the operation power cost; Increase work efficiency.
The technical scheme that adopts to above-mentioned purpose is:
A kind of transformer attending device comprises:
Initialization unit is used for historical failure situation and treatment measures thereof according to oil-filled transformer, sets up the failure diagnosis guide rule; Said failure diagnosis guide rule comprises: trouble unit storehouse, Symptom storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse;
The fault diagnosis knowledge base generation unit; Be used to set up the incidence relation in said trouble unit storehouse, said Symptom storehouse, said failure cause storehouse and said treatment measures storehouse and said trouble unit storehouse, said sign phenomenon storehouse, said failure cause storehouse and said treatment measures storehouse, form fault diagnosis knowledge base;
Acquiring unit, the virtual condition parameter, equipment nameplate parameter and the actual defects that are used to obtain oil-filled transformer are described;
The accident analysis unit is used for carrying out the fault diagnosis algorithm analysis according to said virtual condition parameter and said equipment nameplate parameter, obtains actual sign phenomenon;
Failure diagnosis unit is used for said actual sign phenomenon, the description of said actual defects are mated with said fault diagnosis knowledge base, obtains the corresponding processing measure.
The present invention passes through historical failure situation and the corresponding processing measure to the oil-filled transformer of record, sets up the failure diagnosis guide rule; Through the failure diagnosis information model is set up in the trouble unit in the failure diagnosis guide rule, Symptom storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse; Promptly be the incidence relation of setting up trouble unit, Symptom storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse in the failure diagnosis guide rule, form fault diagnosis knowledge base; In the transformer actual moving process, obtain its actual state parameter, equipment nameplate parameter and actual defects and describe, carry out the fault diagnosis algorithm analysis then, obtain actual sign phenomenon; Actual sign phenomenon and actual defects be described in the fault diagnosis knowledge base mate, obtain the corresponding processing measure.According to the inventive method, can be according to equipment running, analyze in advance and obtain the fault that possibly occur, and then take preventive measures, can reduce the operation power cost; Increase work efficiency.
Description of drawings
Fig. 1 is a schematic flow sheet of the inventive method;
Fig. 2 is a structural representation of apparatus of the present invention;
Fig. 3 is another structural representation of apparatus of the present invention.
Embodiment
For ease of understanding the present invention, the present invention is set forth below in conjunction with accompanying drawing.
Please refer to Fig. 1, the present invention proposes a kind of transformer maintaining method, comprises step:
101, set up the failure diagnosis guide rule;
According to the historical failure situation and the treatment measures thereof of oil-filled transformer, set up the failure diagnosis guide rule; The failure diagnosis guide rule comprises: trouble unit storehouse, Symptom storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse.
Wherein, the Symptom storehouse is the set of Symptom, and Symptom is used for the declaration of will to the abnormality of equipment; For oil-filled transformer, for example: " C2H4, CO, CO2 content increase comparatively fast in the oil, cryogenic overheating ", " the sleeve pipe oil level obviously descends " be " the cooler oil pump has different sound " or the like perhaps.Sign phenomenon storehouse is the set of sign phenomenon, the declaration of will of the equipment state that the sign phenomenon is used for the analysis according to device parameter is drawn; For oil-filled transformer; For example: " transition resistance exceeds standard; with the factory-said value error greater than positive and negative 10% ", " oil dissolved gas exceeds standard, and wherein crucial gas H2 is greater than 500 μ L/L, and CH4 is greater than 100 μ L/L; C2H2 is greater than 1 μ L/L in the 500kV grade, and C2H2 is greater than 2 μ L/L in 220kV and the following electric pressure " perhaps " contact resistance is greater than 500 μ Ω " or the like.
102, set up the failure diagnosis information model, form knowledge base;
Set up the incidence relation in trouble unit, Symptom storehouse, failure cause storehouse and treatment measures storehouse and the incidence relation in trouble unit storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse, form fault diagnosis knowledge base.
Concrete, above-mentioned incidence relation can be a kind of logic determines, as:
(1) faulty equipment: tap changer;
The sign phenomenon: contact resistance is greater than 500 μ Ω;
Failure cause: long-term running overload, the oil temperature is too high, acts frequently, and causes contact surface carbon film and grease or contact burn to occur;
Treatment measures: the carbon film and the grease of cleaning shunting switch contact, serious the changing of burning.
So set up: the incidence relation of " faulty equipment-sign phenomenon-failure cause-treatment measures "; When the actual sign phenomenon of obtaining is: when the contact resistance of tap changer is 600 μ Ω; May occur tap changer is burnt out, the reason that causes possibly be long-term running overload, and the oil temperature is too high; Act frequently; Cause contact surface carbon film and grease or contact burn to occur, can take the treatment measures of " carbon film and the grease of cleaning shunting switch contact, serious the changing of burning ".
(2) and for example:
Faulty equipment: cooling device;
Symptom: the cooler oil pump has different sound;
Failure cause: damage wearing and tearing, bite;
Treatment measures: the oil-immersed pump and change oil-immersed pump of stopping transport immediately;
According to foregoing description, set up the incidence relation of " faulty equipment-Symptom-failure cause-treatment measures "; When the actual defects of the cooling device that obtains is described as " the cooler oil pump has different sound ", can provide the treatment measures of " stop transport immediately oil-immersed pump and change oil-immersed pump ".
103, obtain the transformer practical operation situation;
Obtaining virtual condition parameter, equipment nameplate parameter and the actual defects of oil-filled transformer describes.Wherein, the virtual condition parameter comprises parameters such as voltage, electric current and temperature; Equipment nameplate parameter comprises device parameters such as device name, rated voltage and rated power.
104, practical operation situation analysis is obtained analysis result;
Carry out the fault diagnosis algorithm analysis according to virtual condition parameter and equipment nameplate parameter, obtain actual sign phenomenon.
105, analysis result is mated in knowledge base, obtain treatment measures.
Actual sign phenomenon, actual defects description are mated with fault diagnosis knowledge base, obtain the corresponding processing measure.
The present invention passes through historical failure situation and the corresponding processing measure to the oil-filled transformer of record, sets up the failure diagnosis guide rule; Through the failure diagnosis information model is set up in the trouble unit in the failure diagnosis guide rule, Symptom storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse; Promptly be the incidence relation of setting up trouble unit, Symptom storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse in the failure diagnosis guide rule, form fault diagnosis knowledge base; In the transformer actual moving process, obtain its actual state parameter, equipment nameplate parameter and actual defects and describe, carry out the fault diagnosis algorithm analysis then, obtain actual sign phenomenon; Actual sign phenomenon and actual defects be described in the fault diagnosis knowledge base mate, obtain the corresponding processing measure.According to the inventive method, can be according to equipment running, analyze in advance and obtain the fault that possibly occur, and then take preventive measures, can reduce the operation power cost; Increase work efficiency.
Because the parts of power equipment are various; Various types of faults can be occurred, when setting up the incidence relation of " faulty equipment-sign phenomenon-failure cause-treatment measures ", the more time need be taken like this; And when obtaining actual sign phenomenon and fault diagnosis knowledge base and mate; Can take the more time, should deficiency in order to solve, can improve as follows the foregoing description:
In above-mentioned 102 steps, earlier sign phenomenon storehouse and accident defect are described the storehouse and classify;
Set up the incidence relation in trouble unit storehouse, sorted Symptom storehouse, failure cause storehouse and treatment measures storehouse again, and the incidence relation in trouble unit storehouse, sorted sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse; Form fault diagnosis knowledge base.
Wherein, in above-mentioned 104 steps, fault diagnosis algorithm comprises: a kind of algorithm in three-ratio method, four ratio methods, three-dimensional icon method or David's trigonometry.
The user obtains treatment measures intuitively for ease, can with treatment measures according to: the form of trouble unit, maintenance mode, maintenance content and points for attention provides.
Introduce device of the present invention below, please refer to Fig. 2, a kind of transformer attending device comprises:
Initialization unit T1 is used for historical failure situation and treatment measures thereof according to oil-filled transformer, sets up the failure diagnosis guide rule; The failure diagnosis guide rule comprises: trouble unit storehouse, Symptom storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse;
Fault diagnosis knowledge base generation unit T2; Be used to set up the incidence relation in trouble unit storehouse, Symptom storehouse, failure cause storehouse and treatment measures storehouse and trouble unit storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse, form fault diagnosis knowledge base;
Acquiring unit T3, the virtual condition parameter, equipment nameplate parameter and the actual defects that are used to obtain oil-filled transformer are described;
Accident analysis unit T4 is used for carrying out the fault diagnosis algorithm analysis according to virtual condition parameter and equipment nameplate parameter, obtains actual sign phenomenon;
Failure diagnosis unit T5 is used for actual sign phenomenon, actual defects description are mated with fault diagnosis knowledge base, obtains the corresponding processing measure.
The present invention passes through historical failure situation and the corresponding processing measure to the oil-filled transformer of record, sets up the failure diagnosis guide rule; Through the failure diagnosis information model is set up in the trouble unit in the failure diagnosis guide rule, Symptom storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse; Promptly be the incidence relation of setting up trouble unit, Symptom storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse in the failure diagnosis guide rule, form fault diagnosis knowledge base; In the transformer actual moving process, obtain its actual state parameter, equipment nameplate parameter and actual defects and describe, carry out the fault diagnosis algorithm analysis then, obtain actual sign phenomenon; Actual sign phenomenon and actual defects be described in the fault diagnosis knowledge base mate, obtain the corresponding processing measure.According to the inventive method, can be according to equipment running, analyze in advance and obtain the fault that possibly occur, and then take preventive measures, can reduce the operation power cost; Increase work efficiency.
In order to save the time of Analysis on Fault Diagnosis, can do following improvement to the foregoing description, please refer to Fig. 3, in above-mentioned trouble-shooter, increase: failure modes unit T6 is used for that sign phenomenon storehouse and accident defect are described the storehouse and classifies;
When fault diagnosis knowledge base generation unit T2 forms fault diagnosis knowledge base, set up the incidence relation in trouble unit storehouse, sorted Symptom storehouse, failure cause storehouse and treatment measures storehouse,
And the incidence relation in trouble unit storehouse, sorted sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse; Form fault diagnosis knowledge base.
Wherein, above-mentioned fault diagnosis algorithm comprises: a kind of algorithm in three-ratio method, four ratio methods, three-dimensional icon method or David's trigonometry.
In order to make the user get access to treatment measures intuitively, can provide by the form of " trouble unit, maintenance mode, maintenance content and points for attention ".
Above-described embodiment of the present invention does not constitute the qualification to protection range of the present invention.Any modification of within spirit of the present invention and principle, being done, be equal to replacement and improvement etc., all should be included within the claim protection range of the present invention.
Claims (8)
1. a transformer maintaining method is characterized in that, comprises step:
(1) according to the historical failure situation and the treatment measures thereof of oil-filled transformer, sets up the failure diagnosis guide rule; Said failure diagnosis guide rule comprises: trouble unit storehouse, Symptom storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse;
(2) set up the incidence relation in said trouble unit, said Symptom storehouse, said failure cause storehouse and said treatment measures storehouse and the incidence relation in said trouble unit storehouse, said sign phenomenon storehouse, said failure cause storehouse and said treatment measures storehouse, form fault diagnosis knowledge base;
(3) virtual condition parameter, equipment nameplate parameter and the actual defects of obtaining oil-filled transformer are described;
(4) carry out the fault diagnosis algorithm analysis according to said virtual condition parameter and said equipment nameplate parameter, obtain actual sign phenomenon;
(5) said actual sign phenomenon, the description of said actual defects are mated with said fault diagnosis knowledge base, obtain the corresponding processing measure.
2. transformer maintaining method according to claim 1 is characterized in that, said step (2) is specially:
Earlier classified in said sign phenomenon storehouse and said Symptom storehouse;
Set up the incidence relation in said trouble unit storehouse, sorted Symptom storehouse, said failure cause storehouse and said treatment measures storehouse,
And the incidence relation in said trouble unit storehouse, sorted sign phenomenon storehouse, said failure cause storehouse and said treatment measures storehouse; Form fault diagnosis knowledge base.
3. transformer maintaining method according to claim 1 is characterized in that,
Said fault diagnosis algorithm comprises: a kind of algorithm in three-ratio method, four ratio methods, three-dimensional icon method or David's trigonometry.
4. according to each described transformer maintaining method of claim 1 to 3, it is characterized in that,
Said corresponding processing measure comprises: trouble unit, processing mode, contents processing and points for attention.
5. a transformer attending device is characterized in that, comprising:
Initialization unit is used for historical failure situation and treatment measures thereof according to oil-filled transformer, sets up the failure diagnosis guide rule; Said failure diagnosis guide rule comprises: trouble unit storehouse, Symptom storehouse, sign phenomenon storehouse, failure cause storehouse and treatment measures storehouse;
The fault diagnosis knowledge base generation unit; Be used to set up the incidence relation in said trouble unit storehouse, said Symptom storehouse, said failure cause storehouse and said treatment measures storehouse and said trouble unit storehouse, said sign phenomenon storehouse, said failure cause storehouse and said treatment measures storehouse, form fault diagnosis knowledge base;
Acquiring unit, the virtual condition parameter, equipment nameplate parameter and the actual defects that are used to obtain oil-filled transformer are described;
The accident analysis unit is used for carrying out the fault diagnosis algorithm analysis according to said virtual condition parameter and said equipment nameplate parameter, obtains actual sign phenomenon;
Failure diagnosis unit is used for said actual sign phenomenon, the description of said actual defects are mated with said fault diagnosis knowledge base, obtains the corresponding processing measure.
6. transformer attending device according to claim 5 is characterized in that, said device also comprises: the failure modes unit is used for being classified in said sign phenomenon storehouse and said Symptom storehouse;
When said fault diagnosis knowledge base generation unit forms fault diagnosis knowledge base, set up the incidence relation in said trouble unit storehouse, sorted Symptom storehouse, said failure cause storehouse and said treatment measures storehouse,
And the incidence relation in said trouble unit storehouse, sorted sign phenomenon storehouse, said failure cause storehouse and said treatment measures storehouse; Form fault diagnosis knowledge base.
7. transformer attending device according to claim 5 is characterized in that,
Said fault diagnosis algorithm comprises: a kind of algorithm in three-ratio method, four ratio methods, three-dimensional icon method or David's trigonometry.
8. according to each described transformer attending device of claim 5 to 7, it is characterized in that,
Said corresponding processing measure comprises: trouble unit, processing mode, contents processing and points for attention.
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| CN201110373301.5A CN102522705B (en) | 2011-11-22 | 2011-11-22 | Transformer maintenance method and device |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105737903A (en) * | 2016-04-27 | 2016-07-06 | 於斌 | Intelligent pre-diagnosis and maintenance intelligent early warning method for faults of port machinery |
| CN105911407A (en) * | 2016-04-07 | 2016-08-31 | 国网山东省电力公司电力科学研究院 | Transformer state fuzzy set pair assessment method based on matter-element augmentation extensive correlation |
| CN110068746A (en) * | 2019-04-11 | 2019-07-30 | 云南电网有限责任公司 | Gird fault diagnosis method and system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105911407A (en) * | 2016-04-07 | 2016-08-31 | 国网山东省电力公司电力科学研究院 | Transformer state fuzzy set pair assessment method based on matter-element augmentation extensive correlation |
| CN105911407B (en) * | 2016-04-07 | 2018-08-17 | 国网山东省电力公司电力科学研究院 | Associated transformer state fuzzy set can be opened up to appraisal procedure based on matter-element augmentation |
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| CN110068746A (en) * | 2019-04-11 | 2019-07-30 | 云南电网有限责任公司 | Gird fault diagnosis method and system |
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| CN102522705B (en) | 2015-04-22 |
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Address after: 510080 Dongfeng East Road, Dongfeng, Guangdong, Guangzhou, Zhejiang Province, No. 8 Patentee after: ELECTRIC POWER RESEARCH INSTITUTE, GUANGDONG POWER GRID CO., LTD. Address before: 510080 Dongfeng East Road, Dongfeng, Guangdong, Guangzhou, Zhejiang Province, No. 8 Patentee before: Electrical Power Research Institute of Guangdong Power Grid Corporation |