CN103076526A - Fault diagnosis method based on transformer panoramic state information - Google Patents
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Abstract
The invention discloses a fault diagnosis method based on transformer panoramic state information, and the fault diagnosis method is characterized in that equipment panoramic information such as online monitoring, test data, infrared detection and unfavorable working conditions are combined, the diagnosis of dissolved gas in oil is adopted as a starting point, and the diagnosis of the working condition of each part of a transformer is adopted as supplementation. The fault diagnosis method based on the transformer panoramic state information belongs to an expert diagnosis system of the transformer, the comprehensive physical examination information of the transformer can be obtained through the method, a fault can be located, a fault potential danger of the transformer can be thoroughly examined, the overhauling efficiency of equipment can be increased, the repeated power failure caused by the overhauling of the equipment can be reduced, the power supply reliability can be improved, and an important significance for enabling the safe and stable running of a power system can be realized.
Description
Technical field
The present invention relates to the power transmission and transforming equipment fault diagnosis technology, relate in particular to a kind of resultant fault diagnostic method based on transformer panorama status information of equipment.
Background technology
Power transformer is the hinge of electrical network electric energy transmitting, it is the main equipment of operation of power networks, its reliability of operation is the safety of electric system and stable essential condition, along with the raising of generating set capacity and the rising of transmission voltage grade, the capacity of transformer and electric pressure be thereupon corresponding raising and rising also, simultaneously the reliability of transformer has also been proposed requirements at the higher level.So the diagnosis by system draws transformer operation health status, can promote operating maintenance efficient, has important practical significance.
Relatively ripe transformer online monitoring technology and all kinds of diagnostic testing process have been formed both at home and abroad, such as shelf depreciation, oil chromatography analysis, winding deformation detection and infrared detection etc.Yet fault diagnosis technology on this basis is relatively single, for the three-ratio method diagnosis of oil dissolved gas and David's triangle diagnosis etc., therefore can not navigate to the trouble location of equipment as only microcosmic.In addition, often only do not diagnose for single failure equipment is carried out comprehensive diagnos, cause a lot of potential faults thoroughly not check, to such an extent as to the test maintenance that repeatedly has a power failure has a huge impact power supply reliability.
Summary of the invention
Goal of the invention: in order to overcome the deficiencies in the prior art, the invention provides a kind of method for diagnosing faults based on transformer panorama status information, utilize transformer panorama status information to comprise equipment account information, on-line monitoring information, bad condition information, checking experiment information etc., carry out comprehensive diagnos and locate simultaneously trouble location, draw at last the operation health status of transformer, and the operating mode at each position
Technical scheme: for achieving the above object, the technical solution used in the present invention is:
A kind of method for diagnosing faults based on transformer panorama status information comprises the steps:
(1) adopts hydrogen (H in the oil that Gases Dissolved in Transformer Oil on-line monitoring or oil dissolved gas checking experiment method obtain
2), methane (CH
4), ethane (C
2H
6), ethene (C
2H
4) and acetylene (C
2H
2) concentration value or changing value, calculate the gas production rate of various gases, judge that whether gas concentration value or gas production rate surpass the demand value of stipulating among the DL/T722-2000, if surpass demand value then execution in step (2), otherwise stop;
(2) fault type according to improvement three-ratio method diagnosis transformer is overheating fault or discharge fault;
(3) then following project is partly or entirely detected if step (2) is judged as overheating fault: whether transship, winding, load ratio bridging switch dynamic/static contact, cooling device, oil duct, fan, iron core, whether leakage field, whether leak silica gel;
(4) if being judged as discharge fault, step (2) then following project is partly or entirely detected: little water, winding deformation, insulating board water cut, lead wire fault in Partial Discharge Detection, load ratio bridging switch detection, sleeve pipe, the oil;
(5) according to operation health status and the trouble location of step (1) to (4) acquisition transformer.
Preferably, in the described step (3), if fault type is overheating fault, then carry out successively following detection: overload detection, top-oil temperature detect, winding temperature detects, stopping up of oil channel detects, winding deformation detects, load ratio bridging switch dynamic/static contact contact resistance detects, multipoint earthing of iron core detects, leak silica gel detects.
Preferably, in the described step (3), if fault type is discharge fault, then carry out successively following detection: little water detects in Partial Discharge Detection, the oil, oily resistance test, insulating board water cut detects, winding health status detects, lead-in wire detects, the load ratio bridging switch detection.
Beneficial effect: the method for diagnosing faults based on transformer panorama status information provided by the invention, the expert diagnostic system that belongs to a kind of transformer, can obtain the comprehensive health check-up information of transformer by the method, can position fault simultaneously, can check thoroughly the potential faults of transformer, the overhaul efficiency of lifting means has a power failure to reducing because of repeating of causing of overhaul of the equipments simultaneously, improve power supply reliability, guarantee that the operation of power system safety and stability has important practical significance.
Description of drawings
Fig. 1 is the comprehensive diagnos process flow diagram of the inventive method;
Fig. 2 is the overheat fault diagnostic process flow diagram;
Fig. 3 is the discharge fault diagnostic flow chart.
Embodiment
Below in conjunction with accompanying drawing the present invention is further described.
Be illustrated in figure 1 as the process flow diagram of the inventive method, specifically comprise the steps:
One, fault anticipation
This case heavily waits equipment account information as the diagnosis starting point with quantity of state, the electric pressure of transformer, the oil of gas, at first adopts hydrogen (H in the oil that Gases Dissolved in Transformer Oil on-line monitoring or oil dissolved gas checking experiment method obtain
2), methane (CH
4), ethane (C
2H
6), ethene (C
2H
4) and acetylene (C
2H
2) concentration value or changing value, calculate the gas production rate of various gases, calculate the gas production rate of various gases, judge that whether gas concentration value or gas production rate surpass the demand value of stipulating among the DL/T722-2000, if surpass demand value then can judge tentatively that transformer breaks down.
In general, oil dissolved gas comprises hydrogen (H
2), methane (CH
4), ethane (C
2H
6), ethene (C
2H
4), acetylene (C
2H
2), carbon monoxide (CO), carbon dioxide (CO
2), oxygen (O
2), nitrogen (N
2) etc.
Two, failure mode analysis
If gas surpasses demand value in the oil, then can be according to the fault type of improvement three-ratio method diagnosis transformer, present improvement three-ratio method can specifically be divided into 8 classes with the fault type of transformer: cryogenic overheating, middle temperature are overheated, hyperthermia and superheating, shelf depreciation, low-yield discharge, that low-yield discharge is held concurrently is overheated, high-energy discharge, that high-energy discharge is held concurrently is overheated; This case is divided into two types of overheating fault and discharge faults with above-mentioned 9 types.
Three, overheating fault detects
If transformer belongs to overheating fault situation (comprising the double overheating fault of discharge), then at first utilize infrared radiation detection apparatus that transformer-cabinet, conservator, sleeve pipe (integral body), sleeve pipe base, sleeve pipe column cap, casing bolt, heating radiator, oil-immersed pump and fan electromotor are detected, draw the transformer Over-Heat, can detect the overheating fault of transformer by infrared detection, the testing result of this part finally can be reacted in the transformer synthesis result; Specifically detect as follows according to Fig. 2 again:
(1) judge at first whether whether overload of transformer, top-oil temperature monitor value exceed standard, whether cooling system works, if short-term first aid overload, then wait load reduction to normal condition, whether the content that detects oil dissolved gas hydrogen, acetylene and total hydrocarbon continues to rise, if without then thinking that overload causes this hot stall; Otherwise enter step (2)
Whether the hot spot temperature of winding of (2) judging the winding optical fiber monitoring exceeds standard, and recovers normal range under the rated load if hot(test)-spot temperature is down at load, and then winding non-fault hidden danger enters step (5); Otherwise the winding existing problems enter (3);
(3) check transformer bad condition record, detected whether there is so far the bad condition event last time, as crossing near region short circuit, overload etc., then enter step (4) if having; Otherwise enter step (5);
(4) utilize frequency response analysis or vibration monitoring to detect winding and whether be out of shape, enter simultaneously step (5);
(5) direct current resistance, dielectric dissipation factor and the Leakage Current of detection winding are if all be that normal value then enters step (6); Otherwise there is fault in winding; Enter simultaneously step (6);
(6) detect ground current and the iron core grounding resistance of iron core, judge whether multipoint earthing of iron core, enter step (7);
(7) whether the dynamic and static contact resistance of detection load ratio bridging switch exceeds standard, and enters step (8);
(8) detect lead-in wire, judge whether it exists the shunting fault, joint is overheated and disconnected burst of fault, enters step (9);
(9) can draw following result by above step: whether whether overload of transformer, fan work, whether cooling device stops up, whether winding is out of shape, whether go between exists fault, iron core whether multipoint earthing and shunting switch dynamic/static contact be normal.
Four, discharge fault detects
If transformer belongs to discharge fault situation (comprising the double overheating fault of discharge), then specifically detect as follows according to Fig. 3:
(1) diagnoses according to the partial discharge of transformer on-line monitoring or by the partial discharge test data, judge whether this transformer exists shelf depreciation, enter step (2);
(2) by on-line monitoring or test little water of transformer oil, oil loss factor, withstand voltage and furfural etc. are detected, draw the health status of insulating oil, enter step (3);
(3) utilize frequency response analysis or vibration monitoring to detect winding and whether be out of shape, enter simultaneously step (4);
(4) detect ground current and the iron core grounding resistance of iron core, judge whether multipoint earthing of iron core, enter step (5);
(5) detect lead-in wire and whether judge whether it exists the shunting fault, joint is overheated and disconnected burst of fault, enters step (6);
(6) detect the shunting switch joint and whether have the loose contact fault, enter step (7);
(7) dielectric loss, electric capacity and the oil dissolved gas of detection sleeve pipe draw corresponding sleeve pipe operating condition, enter step (8);
(8) whether the oil-immersed pump bearing weares and teares, and enters step (9);
(9) draw to draw a conclusion by above step: whether transformer oil is qualified, whether winding is out of shape, whether winding earth resistance meets standard, whether lead-in wire exists fault, shunting switch whether to have the information such as loose contact and sleeve pipe operating mode
Five, synthesis result
Detect by the degree of polymerization and water cut to insulating paper, draw the health status of insulating paper; Comprehensive above-mentioned diagnostic result draws the comprehensive health situation of this transformer.
Below in conjunction with example such scheme is illustrated
(1) adopts each component concentration of the oil dissolved gas that Gases Dissolved in Transformer Oil on-line monitoring or oil dissolved gas checking experiment method obtain, comprise hydrogen, methane, ethane, ethene, acetylene, total hydrocarbon, carbon monoxide, carbon dioxide, then diagnose according to following steps.
(a1) electric pressure, the oil that obtain this equipment from transformer account information heavily wait information, and concrete transformer account information is as shown in table 1 below.
Table 1 transformer account information table
(a2) judge according to table 2 and table 3 whether this Gases Dissolved in Transformer Oil component concentration exceeds standard, if all then stop without exceeding standard; Otherwise enter step (a3).
Table 2 gas concentration demand value unit: ppm
| Electric pressure | Total hydrocarbon | Acetylene | Hydrogen |
| VoltageLevel | TotalHydrocarbon | C2H2 | H2 |
| ≥330kV | 150 | 1 | 150 |
| ≤220kV | 150 | 5 | 150 |
Table 3 gas production rate demand value unit: mL/d
| Equipment | Total hydrocarbon | Acetylene | Hydrogen | Carbon monoxide | Carbon dioxide |
| Equipmenttype | TotalHydrocarbon | C2H2 | H2 | CO | CO2 |
| Open | 6 | 0.1 | 5 | 50 | 100 |
| Diaphragm type | 12 | 0.2 | 10 | 100 | 200 |
(a3) utilize the improvement three-ratio method that the fault of this transformation is diagnosed in advance, diagnostic rule enters step (a4) shown in table 4 and table 5.
Table 4 coding rule table
Table 5 coding-fault type table
(a4) basis (a3) obtains the fault type of this transformer, enters step (three) or step (four).
(2) utilize infrared radiation detection apparatus that the following position of transformer is detected, and obtain as a result table as shown in table 6, enter (three) or (four) according to the result of ().
Table 6 transformer infrared detection is table as a result
| The measuring position | Hot(test)-spot temperature | The temperature difference | Temperature rise | Relative temperature difference | Conclusion |
| Casing | ? | ? | ? | ? | ? |
| Conservator | ? | ? | ? | ? | ? |
| Sleeve pipe (integral body) | ? | ? | ? | ? | ? |
| The sleeve pipe base | ? | ? | ? | ? | ? |
| The sleeve pipe column cap | ? | ? | ? | ? | ? |
| The casing bolt | ? | ? | ? | ? | ? |
| Heating radiator | ? | ? | ? | ? | ? |
| Oil-immersed pump | ? | ? | ? | ? | ? |
| Fan electromotor | ? | ? | ? | ? | ? |
Illustrate: 1. judgment rule is referring to " DL/T664-2008 charging equipment infrared diagnostics using standard ";
2. conclusion is a kind of in four kinds of normal, general overheating defect, serious overheating defect and the critical overheating defects.
(3) in accordance with the following steps the transformer overheating fault is positioned respectively.
(b1) detect accordingly according to table 7 pair transformer.
Table 7 transformer body testing result
Illustrate: 1. open cooling system, have fault if the cooling system existence unusually then draws cooling system;
If 2. transformer overload, simultaneously top-oil temperature and winding temperature surpass early warning value and then enter (b2), otherwise after waiting load to drop to nominal load 2h, monitor carrying out top-oil temperature and winding temperature;
Still surpass early warning value if 3. continue monitoring top-oil temperature and winding temperature, then there is fault in the anticipation winding, enters step (b2).
(b2) check transformer bad condition recorded information, particular content is as shown in table 8.
Table 8 transformer bad condition information table
Illustrate: if transformer then enters (b3) without occuring not measure operating mode till now in maintenance last time; Otherwise enter (b4).
(b3) utilize frequency response analysis or vibration monitoring method that Transformer Winding is detected, draw transformer and whether have winding deformation, it is separate which is specially.
(b4) respectively direct current resistance, dielectric dissipation factor and the Leakage Current of winding detected as follows.
I detects according to the high-pressure side of table 9 pair transformer and the direct current resistance of low-pressure side three-phase:
Table 9 Transformer Winding direct current resistance detects table
| High-pressure side (M Ω) | OA | OB | OC | Poor between maximal phase (%) | Conclusion |
| Measured value | ? | ? | ? | ? | ? |
| Low-pressure side (M Ω) | ? | ? | ? | ? | ? |
| Measured value | ? | ? | ? | ? | ? |
Illustrate: high pressure, each separate winding health status of low-pressure side of drawing winding according to following judgment rule
1. the mutual difference of above each phase winding of 1.6MVA is greater than 2% of three-phase mean value, and without the winding of neutral lead, deviation is greater than 1% of three-phase mean value between line;
2. 1.6MVA and the following alternate difference of transformer generally are not more than 4% of three-phase mean value, and deviation generally is not more than 2% of three-phase mean value between line;
3. it changes greater than 2% to convert uniform temp with former same area measured value;
4. but three alternate resistance magnitude relationship with dispatch from the factory inconsistent.
Thus can.
II detects according to the dielectric loss of table 10 pair Transformer Winding:
Table 10 Transformer Winding dielectric loss detects table
| The detection position | Trial voltage | tgδ% | Conclusion |
| High pressure-other coils and ground | Be generally 10kV | ? | Normally, exceed standard |
| Low pressure-other coils and ground | Be generally 10kV | ? | Normally, exceed standard |
Illustrate:
1. the dielectric loss value is not more than following numerical value: 330～500kV:0.6%, 66～220kV:0.8%, 35kV and following 20 ℃ the time: 1.5%;
2. the dielectric loss value generally is not more than 30% with numerical value over the years;
If 3. 1. the dielectric loss value surpasses and 2. criterion, then conclusion is for exceeding standard, otherwise is normal.
III detects according to the winding Leakage Current of table 11 pair transformer:
Table 11 Transformer Winding Leakage Current detects table
| The detection position | Voltage (kV) | Time | Leakage current (μ A) |
| The high pressure winding | ? | 1min | ? |
| The low pressure winding | ? | 1min | ? |
Illustrate: 1. detect voltage and select according to table 12;
2. the Leakage Current according to twice detection compares, if difference surpasses 30%, and the winding existing problems.
Table 12 transformer Leakage Current trial voltage table
| Rated voltage (kV) | 3 | 6～10 | 20～35 | 66～330 | 500 |
| Trial voltage (kV) | 5 | 10 | 20 | 40 | 60 |
Comprehensive conclusion: if having one in I, II and the III for defective, then winding has problems, otherwise winding is normal; Enter step (b5).
(b5) detect by following stake resistance to iron core and ground current.
Table 12 iron core grounding resistance and checking for grounded current table
Illustrate: diagnostic rule is as follows:
1. iron core grounding current is less than 0.1A, and is then normal; May there be multipoint earthing in ground current at 0.1～0.3A; Then necessarily there is multipoint earth faults in ground current greater than 0.3A;
2. iron core grounding resistance is greater than 100M Ω, and is then normal; Then there is fault in stake resistance at 10M Ω～100M Ω; Stake resistance is less than 10M Ω, and then there is catastrophic failure in iron core;
1. and 2. can obtain the health status of iron core 3. by.
(b6) according to following steps load ratio bridging switch is detected.
I detects the load ratio bridging switch transition resistance according to table 13, and draws operating mode:
Table 13 transition resistance detects table
| Tap | AO | BO | CO | Poor between maximal phase (%) | Conclusion |
| 1 | ? | ? | ? | ? | Normally, there is fault |
| 2 | ? | ? | ? | ? | Normally, there is fault |
| … | ? | ? | ? | ? | … |
| N | ? | ? | ? | ? | Normally, there is fault |
Illustrate: if 1. poor greater than 20% between maximal phase, then have fault;
2. be more or less the same in 10% with famous brand, otherwise have fault.
The contact resistance of II detection contact, if with last time detected value or famous brand resistance value deviation more than 10%, then have loose contact;
If less than 1M Ω, then there is insulation fault in the insulation measurement of III subsidiary loop;
The insulating oil voltage resistant test of IV grease chamber, if differ on 10% with famous brand, then there is deterioration condition in insulating oil;
Can be drawn the operation health status of load ratio bridging switch by I, II, III and IV.
(b7) detect lead-in wire, judge whether it exists the shunting fault, joint is overheated and disconnected burst of fault.
(b8) can draw transformer Over-Heat and reason according to (b1)～(b7) step.
(4), in accordance with the following steps the transformer discharge fault is positioned respectively.
(c1) Partial Discharge Detection: detect according to partial discharge of transformer on-line monitoring or partial discharge test, electric weight is diagnosed by table 14:
Table 14 shelf depreciation type feature value table
| The monitoring type | Shelf depreciation | Low-yield discharge | High-energy discharge |
| Partial discharge monitoring | ≥300pC | ≥500pC | ≥1000pC |
Illustrate: according to the discharge capacity of test or on-line monitoring, obtain the electric discharge type of transformer.
(c2) insulating oil detects: according to table 15 list insulating oil is detected:
Table 15 insulating oil test item table
| Test item | Detected value | Conclusion |
| Little water in the oil: (mg/L) | ? | Normally, exceed standard |
| Oil dielectric loss: (tg δ) | ? | Normally, exceed standard |
| Withstand voltage: (kV) | ? | Normally, exceed standard |
| Furfural content: (mg/L) | ? | Normally, exceed standard |
Illustrate: above test item is diagnosed according to following rule, obtains corresponding final conclusion:
1. little water: 66～110kV in the oil, micro-water content should＜35mg/L; 220kV, micro-water content is answered＜25mg/L; 330kV and above micro-water content are answered＜15mg/L; Otherwise defective;
2. oily dielectric loss: 110～220kV, dielectric loss should＜4%; More than 330kV reached, dielectric loss answered＜2%; Otherwise defective;
3. withstand voltage: 66～220kV, oil is withstand voltage answers＞35kV; More than 330kV reached, oil is withstand voltage answered＞50kV; Otherwise defective;
4. furfural content: move 1～5 year, furfural content should＜0.1mg/L; Move 5～10 years, furfural content is answered＜0.2mg/L; Move 10～15 years, furfural content is answered＜0.4mg/L; Move 15～20 years, furfural content is answered＜0.75mg/L; Otherwise defective;
5. according to the Qualification that 1., 2., 3. and 4. can draw insulating oil.
(c3) whether be out of shape with (b3) diagnosis Transformer Winding in (three), draw winding health status;
Whether (c4) draw core insulation resistance with (b5) in (three) qualified and whether have a multipoint earthing situation;
Whether normal, whether have the phenomenons such as disconnected thigh if (c5) drawing lead-in wire with (b7) in (three);
(c6) draw load ratio bridging switch with (b6) in (three) and whether have the contact resistance fault;
(c7) Casing Detection:
I detects according to the insulation resistance of following table to sleeve pipe:
Table 16 sleeve pipe insulation resistance detects table
| Detection limit | Detected value | Conclusion |
| Major insulation (M Ω) | ? | Normally, unusually |
| End shield insulation (M Ω) | ? | Normally, unusually |
Illustrate: 1. major insulation is answered＞10000M Ω, otherwise unusual;
2. the end shield insulation is answered＞1000M Ω, otherwise unusual;
3. according to the operation health status that 1. and 2. draws sleeve pipe;
II detects sleeve pipe dielectric loss and electric capacity according to following table:
Table 17 sleeve pipe dielectric loss and electric capacity detect table
| Detection limit | Detected value | Conclusion |
| tgδ% | ? | Normally, unusually |
| End shield tg δ % | ? | Normally, unusually |
| Electric capacity | ? | Normally, unusually |
Illustrate: 1. tg δ % answers＜1.5%, otherwise unusual;
2. end shield tg δ % answers＜2%, and indulges ratio and answer＜30%, otherwise unusual;
3. the difference of electric capacity and factory-said value or last test value should be less than ± 5%, otherwise unusual;
Can draw the operation health status of sleeve pipe according to I and II.
(c8) whether oil-immersed pump exists the bearing wear situation, might have metallic particles guiding discharge phenomenon if having at insulating oil;
(c9) can draw to draw a conclusion according to (c1)～(c8): whether transformer exists discharge fault and electric discharge type, and whether insulating oil oil is qualified, whether winding is out of shape, whether winding earth resistance meets standard, whether lead-in wire exists fault, shunting switch whether to have the information such as loose contact and sleeve pipe operating mode.
(5), synthesis result
(d1) insulating paper is detected:
Table 18 insulating paper detects table
| Detection limit | Detected value | Conclusion |
| The insulating paper degree of polymerization | ? | Normally, unusually |
| The insulating paper water cut | ? | Normally, unusually |
Illustrate: 1. the insulating paper degree of polymerization answers＞250, otherwise unusual;
2. the insulating paper water cut is pressed table 19 judgement.
Table 19 insulating paper water cut is judged table
| Electric pressure | The water cut threshold value |
| 220kV | 1% |
| 330kV | 2% |
| 500kV | 3% |
Can obtain the health status of insulating paper according to table 18 and table 19.
(d2) basis (one), (two), (three) and (four) draw the comprehensive health situation of transformer:
Table 20 transformer synthesis is table as a result
| Component names | Whether healthy | There is fault |
| Body | Be, no | ? |
| Insulating oil | Be, no | ? |
| Winding | Be, no | ? |
| Iron core | Be, no | ? |
| Load ratio bridging switch | Be, no | ? |
| Sleeve pipe | Be, no | ? |
| Lead-in wire | Be, no | ? |
| Cooling system | Be, no | ? |
| Fan | Be, no | ? |
| Oil-immersed pump | Be, no | ? |
| Insulating paper | Be, no | ? |
Illustrate: 1. whether healthy, according to above (one), (two), (three), (four) and (five) testing result, if all detection limits of these parts all qualified then these parts be health, otherwise be unhealthy;
If 2. unhealthy, then exist the fault content that the underproof detection limit of Detection of content and fault performance are inserted.
The above only is preferred implementation of the present invention; be noted that for those skilled in the art; under the prerequisite that does not break away from the principle of the invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (3)
1. the method for diagnosing faults based on transformer panorama status information is characterized in that: comprise the steps:
(1) adopts concentration value or the changing value of hydrogen, methane, ethane, ethene and acetylene in the oil that Gases Dissolved in Transformer Oil on-line monitoring or oil dissolved gas checking experiment method obtain, calculate the gas production rate of various gases, judge whether gas concentration value or gas production rate surpass the demand value of stipulating among the DL/T722-2000, if surpass demand value then execution in step (2), otherwise stop;
(2) fault type according to improvement three-ratio method diagnosis transformer is overheating fault or discharge fault;
(3) then following project is partly or entirely detected if step (2) is judged as overheating fault: whether transship, winding, load ratio bridging switch dynamic/static contact, cooling device, oil duct, fan, iron core, whether leakage field, whether leak silica gel;
(4) if being judged as discharge fault, step (2) then following project is partly or entirely detected: little water, winding deformation, insulating board water cut, lead wire fault in Partial Discharge Detection, load ratio bridging switch detection, sleeve pipe, the oil;
(5) according to operation health status and the trouble location of step (1) to (4) acquisition transformer.
2. the method for diagnosing faults based on transformer panorama status information according to claim 1, it is characterized in that: in the described step (3), if fault type is overheating fault, then carry out successively following detection: overload detection, top-oil temperature detect, winding temperature detects, stopping up of oil channel detects, winding deformation detects, load ratio bridging switch dynamic/static contact contact resistance detects, multipoint earthing of iron core detects, leak silica gel detects.
3. the method for diagnosing faults based on transformer panorama status information according to claim 1, it is characterized in that: in the described step (3), if fault type is discharge fault, then carry out successively following detection: little water detects in Partial Discharge Detection, the oil, oily resistance test, insulating board water cut detects, winding health status detects, lead-in wire detects, the load ratio bridging switch detection.
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| CN106154119A (en) * | 2015-03-24 | 2016-11-23 | 国家电网公司 | A kind of extra-high voltage direct-current transmission engineering converter power transformer aerogenesis verification method |
| CN106771620A (en) * | 2016-12-28 | 2017-05-31 | 国网河南省电力公司新乡供电公司 | A kind of DC resistance of power transformer comprehensive test analysis device |
| CN106841941A (en) * | 2017-01-13 | 2017-06-13 | 国家电网公司 | A kind of oil-filled transformer equipment cancels the condition test method of the customary experiment that has a power failure |
| CN106841892A (en) * | 2016-12-12 | 2017-06-13 | 国网北京市电力公司 | Grounding transformer fault detection method and device |
| CN107102245A (en) * | 2017-06-09 | 2017-08-29 | 云南电网有限责任公司电力科学研究院 | Deformation of transformer winding and condenser bushing failure detector and method |
| CN107271050A (en) * | 2017-07-19 | 2017-10-20 | 国网河北省电力公司衡水供电分公司 | Power transformer defect inspection method |
| CN107314860A (en) * | 2016-04-27 | 2017-11-03 | 上海金艺检测技术有限公司 | The chromatogram diagnostic method of oil-filled transformer loaded switch seepage |
| CN108051709A (en) * | 2017-11-30 | 2018-05-18 | 南京力通达电气技术有限公司 | Transformer state online evaluation analysis method based on artificial intelligence technology |
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| CN109855740A (en) * | 2019-01-09 | 2019-06-07 | 桂林电子科技大学 | A kind of transformer fault online test method and system |
| CN113900018A (en) * | 2021-10-12 | 2022-01-07 | 云南电网有限责任公司电力科学研究院 | Transformer tap switch fault detection method |
| CN114264469A (en) * | 2022-03-01 | 2022-04-01 | 武汉明正动力工程有限公司 | Fault detection method, device and system for industrial combustor |
| CN115508654A (en) * | 2022-10-26 | 2022-12-23 | 云南电网有限责任公司电力科学研究院 | Transformer capacity detection method, system, device and storage medium |
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| CN104076230A (en) * | 2014-07-16 | 2014-10-01 | 胡小青 | Electrical fault detecting system for power transmission transformer |
| CN104198840A (en) * | 2014-08-07 | 2014-12-10 | 华北电力大学（保定） | Transformer three-ratio fault diagnosis method improved by B-spline theory |
| CN104198840B (en) * | 2014-08-07 | 2017-02-08 | 华北电力大学（保定） | Transformer three-ratio fault diagnosis method improved by B-spline theory |
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| CN107271050A (en) * | 2017-07-19 | 2017-10-20 | 国网河北省电力公司衡水供电分公司 | Power transformer defect inspection method |
| CN107271050B (en) * | 2017-07-19 | 2019-07-23 | 国网河北省电力公司衡水供电分公司 | Power transformer defect inspection method |
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| CN108445385B (en) * | 2018-05-10 | 2020-11-20 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | On-load tap-changer state evaluation method based on partial discharge monitoring and oil chromatographic analysis |
| CN109855740A (en) * | 2019-01-09 | 2019-06-07 | 桂林电子科技大学 | A kind of transformer fault online test method and system |
| CN113900018A (en) * | 2021-10-12 | 2022-01-07 | 云南电网有限责任公司电力科学研究院 | Transformer tap switch fault detection method |
| CN114264469A (en) * | 2022-03-01 | 2022-04-01 | 武汉明正动力工程有限公司 | Fault detection method, device and system for industrial combustor |
| CN115508654A (en) * | 2022-10-26 | 2022-12-23 | 云南电网有限责任公司电力科学研究院 | Transformer capacity detection method, system, device and storage medium |
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