CN103675518A - Maintenance method and device for oil-immersed high-voltage equipment - Google Patents
Maintenance method and device for oil-immersed high-voltage equipment Download PDFInfo
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- CN103675518A CN103675518A CN201310460234.XA CN201310460234A CN103675518A CN 103675518 A CN103675518 A CN 103675518A CN 201310460234 A CN201310460234 A CN 201310460234A CN 103675518 A CN103675518 A CN 103675518A
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Abstract
The invention discloses a maintenance method for oil-immersed high-voltage equipment. The method comprises that an insulating oil performance deterioration database of the oil-immersed high-voltage equipment is established; according to the established insulating oil performance deterioration database, a mathematic model which detects and predicts faults of the oil-immersed high-voltage equipment is established; different items of oiling data of insulating oil in the to-be-maintained oil-immersed high-voltage equipment are obtained; according to the mathematic model and the oiling data, fault detection and prediction are implemented on the to-be-maintained oil-immersed high-voltage equipment; and according to the result of fault detection and prediction, corresponding maintenance is carried out on the to-be-maintained oil-immersed high-voltage equipment. The invention also discloses a maintenance device for the oil-immersed high-voltage equipment. According the maintenance method and device, the correct rate of fault detection for the equipment is effectively improved, and fault early warning information is accurately distributed; and thus, the maintenance time can be more accurately guided, power failure time due to maintenance is reasonably scheduled and shortened, the utilization rate of the equipment is improved, and the maintenance cost of the oil-immersed high-voltage equipment is greatly saved.
Description
Technical field
The present invention relates to oil-immersed and high-voltage equipment technical field, relate in particular to a kind of oil-immersed and high-voltage device maintenance method and a kind of oil-immersed and high-voltage equipment maintenance device.
Background technology
Along with the expansion at double of interconnected network scale, more easily because of local equipment failure, cause the chain power outage of large area.Once large area blackout appears in electrical network, except causing great economic loss, also likely endanger public security and social stability.At present, the method for tackling this cascading failure concentrates on prevention above, the probability that minimizing accident occurs from source, and impact is controlled in less scope.
The safety of electrical network is mainly reflected in power equipment safety and two aspects of system security of operation, and power equipment safety operation is the basis of security of system.Oil-immersed and high-voltage equipment is the nucleus equipment of electric system power transmission and transformation part, and its running status is directly connected to the safe operation of whole electric system.At present, China's existing more high-tension apparatus operation time limit surpasses 20 years, and these operating high-tension apparatuses are faced with day by day serious equipment failure and insulation ageing problem, and the probability having an accident constantly increases.Along with developing rapidly of super extra-high voltage electric transmission and transformation technology, net capacity and coverage rate thereof further expand, and oil-immersed and high-voltage equipment failure meeting causes great harm and impact even can affect the safe operation of the other parts of electrical network on user.
Therefore, improve operation maintenance technology and the management level of oil-immersed and high-voltage equipment, reduce the probability break down, and it is significant effectively to detect in advance the current and in the future possible running status of oil-immersed and high-voltage equipment incipient fault, prediction oil-immersed and high-voltage equipment.At present for oil-immersed and high-voltage equipment, the general mode that adopts prophylactic repair, this way cannot be associated with equipment state in repair time, mode and frequency, and not only the cost of overhaul is high, and can not reasonable arrangement and shorten the overhaul of the equipments time, reduced plant factor.
Summary of the invention
Based on this, the invention provides a kind of oil-immersed and high-voltage device maintenance method and a kind of oil-immersed and high-voltage equipment maintenance device.
An oil-immersed and high-voltage device maintenance method, comprises the following steps:
Set up the insulating oil performance degradation database of oil-immersed and high-voltage equipment;
According to the described insulating oil performance degradation database of setting up, set up the mathematical model for oil-immersed and high-voltage equipment is carried out to fault detect and prediction;
Obtain every oiling data of the interior insulating oil of oil-immersed and high-voltage equipment of Awaiting Overhaul;
According to described mathematical model and described oiling data, the oil-immersed and high-voltage equipment of Awaiting Overhaul is carried out to fault detect and prediction;
According to the result of described fault detect and prediction, the oil-immersed and high-voltage equipment of Awaiting Overhaul is carried out to corresponding maintenance.
Compare with general technology, oil-immersed and high-voltage device maintenance method of the present invention is set up the mathematical model that oil-immersed and high-voltage equipment is carried out to fault detect and prediction, according to the oiling data of Awaiting Overhaul equipment, carry out fault detect and prediction, and overhaul accordingly according to the result of described fault detect and prediction.The present invention can effectively improve equipment failure and detect accuracy, issue exactly fault pre-alarming information, thereby more accurately the guided maintenance time, reasonable arrangement also shortens the servicing time that has a power failure, the cost of overhaul of greatly having saved oil-immersed and high-voltage equipment when improving plant factor.Realize oil-immersed and high-voltage equipment by prophylactic repair to the maintenance centered by reliability or repair based on condition of component transition, before equipment failure occurs, keep in repair.The present invention is conducive to guarantee the safety in production of electric system, has good Social benefit and economic benefit, is also the direction of Complex Power overhaul of the equipments development.
An oil-immersed and high-voltage equipment maintenance device, comprises Database module, model building module, data acquisition module, fault detect and prediction module and maintenance module;
Described Database module, for setting up the insulating oil performance degradation database of oil-immersed and high-voltage equipment;
Described model building module, for according to the described insulating oil performance degradation database of setting up, sets up the mathematical model for oil-immersed and high-voltage equipment is carried out to fault detect and prediction;
Described data acquisition module, for obtaining every oiling data of insulating oil in the oil-immersed and high-voltage equipment of Awaiting Overhaul;
Described fault detect and prediction module, for according to described mathematical model and described oiling data, carry out fault detect and prediction to the oil-immersed and high-voltage equipment of Awaiting Overhaul;
Described maintenance module, for according to the result of described fault detect and prediction, carries out corresponding maintenance to the oil-immersed and high-voltage equipment of Awaiting Overhaul.
Compare with general technology, oil-immersed and high-voltage equipment maintenance device of the present invention is set up the mathematical model that oil-immersed and high-voltage equipment is carried out to fault detect and prediction, according to the oiling data of Awaiting Overhaul equipment, carry out fault detect and prediction, and overhaul accordingly according to the result of described fault detect and prediction.The present invention can effectively improve equipment failure and detect accuracy, issue exactly fault pre-alarming information, thereby more accurately the guided maintenance time, reasonable arrangement also shortens the servicing time that has a power failure, the cost of overhaul of greatly having saved oil-immersed and high-voltage equipment when improving plant factor.Realize oil-immersed and high-voltage equipment by prophylactic repair to the maintenance centered by reliability or repair based on condition of component transition, before equipment failure occurs, keep in repair.The present invention is conducive to guarantee the safety in production of electric system, has good Social benefit and economic benefit, is also the direction of Complex Power overhaul of the equipments development.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of oil-immersed and high-voltage device maintenance method of the present invention;
Fig. 2 is the structural representation of oil-immersed and high-voltage equipment maintenance device of the present invention.
Embodiment
For further setting forth the technological means that the present invention takes and the effect obtaining, below in conjunction with accompanying drawing and preferred embodiment, to technical scheme of the present invention, know and complete description.
Referring to Fig. 1, is the schematic flow sheet of oil-immersed and high-voltage device maintenance method of the present invention.
Oil-immersed and high-voltage device maintenance method of the present invention, comprises the following steps:
S101 sets up the insulating oil performance degradation database of oil-immersed and high-voltage equipment;
S102, according to the described insulating oil performance degradation database of setting up, sets up the mathematical model for oil-immersed and high-voltage equipment is carried out to fault detect and prediction;
S103 obtains every oiling data of the interior insulating oil of oil-immersed and high-voltage equipment of Awaiting Overhaul;
S104, according to described mathematical model and described oiling data, carries out fault detect and prediction to the oil-immersed and high-voltage equipment of Awaiting Overhaul;
S105, according to the result of described fault detect and prediction, carries out corresponding maintenance to the oil-immersed and high-voltage equipment of Awaiting Overhaul.
The insulating oil of oil-immersed and high-voltage equipment, on the one hand as the medium of interior insulation, making has good insulation between equipment each several part; It is again as the medium of heat radiation on the other hand, and the heat that oil-immersed and high-voltage device interior in service is come out passes to cooling device.The information simultaneously containing in insulating oil can reflect the running status of transformer again indirectly, just as the blood in human body.Therefore, the diagnosis of insulating oil deteriorate performance is played to vital effect to ensureing normal, the safe operation of oil-immersed and high-voltage equipment.In engineering reality, except operating insulating oil is taked safeguard measure with prevent its aging prematurely, also regularly it is carried out the test of the aspects such as stratographic analysis and voltage breakdown, dielectric loss, acid number, water cut, judge the state of oil-immersed and high-voltage equipment.
In step S101, set up the apparatus insulated oily performance degradation rule database of oil-immersed and high-voltage and should there is data acquisition function, can realize importance queuing and the recommendation to monitoring parameter to oil-immersed and high-voltage equipment failure mode, draw the parameter control curve of normal state and fault case, obtain parameter warning value; Realization gathers and fault ex-post analysis the oiling data tracking of a certain concrete equipment.
As one of them embodiment, the described step of setting up the insulating oil performance degradation database of oil-immersed and high-voltage equipment, comprises the following steps:
From the historical data of oil-immersed and high-voltage equipment, obtain every oiling data of insulating oil;
Calculate described oiling data and the degree of association between the insulating oil performance degradation stage;
According to the described degree of association of calculating, set up insulating oil performance degradation database.
Oiling data acquisition: adopt the intelligent data disposal route based on rough set theory, obtain the relevant oiling data that contain from the insulating oil historical data base of the oil-immersed and high-voltage equipment (transformer, CT, PT) of accumulation.Its disposal route is produced by following steps: according to original state input system information; Information is sorted, divides equivalence class; Then judge attribute number; The structure sequence of attributes of successively decreasing; Otherwise object is carried out to Knowledge Granulation and weight calculation; Then judge attribute number, judgement object number.
Relevance between insulating oil performance degradation degree and insulating oil characteristic: oil-immersed and high-voltage equipment oiling data characteristics amount is different for the potential information amount in deteriorated stage of insulating oil in various degree, quantize each characteristic quantity data and the degree of association between the specific insulating oil performance degradation stage, the incipient fault detection and prediction to equipment is had to very important effect.Utilize Boolean type discretization method and the many-valued discretization method based on ChiMerge algorithm respectively equipment oiling data to be carried out to discretize, recycle improved Apriori association rule algorithm and calculate the confidence level between oiling data characteristics amount and the performance in each deteriorated stage.Improved Apriori association rule algorithm divides 4 steps to carry out: original insulating oil database partition is become to n the part that scale is suitable; For each part, produce separately one group of Frequent Item Sets (also relevant characteristic quantity); Finally these Item Sets being merged is overall candidate's Frequent Item Sets; For whole database, calculate the actual confidence level of each candidate's frequent item, thereby determine last Frequent Item Sets.
Set up Changing Pattern database: in oil-immersed and high-voltage equipment condition monitoring and fault detect, setting up accurate, comprehensive, reliable Changing Pattern database is to carry out equipment failure to detect and the basis of predicting.Changing Pattern database should have data acquisition function, can realize importance queuing and the recommendation to monitoring parameter to fault mode, draws the parameter control curve of normal state and fault case, obtains parameter warning value; Realization gathers and fault ex-post analysis the oiling data tracking of a certain concrete equipment.
In step S102, as one of them embodiment, described foundation, for oil-immersed and high-voltage equipment being carried out to the step of the mathematical model of fault detect and prediction, comprises the following steps:
Adopt particle group optimizing to classify least square method supporting vector machine foundation for oil-immersed and high-voltage equipment being carried out to the mathematical model of fault detect more.
The oil-immersed and high-voltage equipment failure detection model of setting up, comprising:
The apparatus insulated oily data characteristics parameter extraction of oil-immersed and high-voltage: for the data in the apparatus insulated oily Mishap Database of oil-immersed and high-voltage of setting up, every test parameters to insulating oil chromatogram, short form test is carried out pre-service, with offset minimum binary, set up model, carry out repeatedly variable and select, extract its characteristic parameter as the decision variable of fault detect.The universal model of partial least square method is:
X＝TP
T+E
Y＝TQ
T+F
Wherein, the oil chromatography data matrix that X is transformer monitoring, behavior observation time, classifies gas projects as; Y is indicating fault variable, to training data value, is " 0 " and " 1 "; T is weighting coefficient matrix; P and Q are loading matrix; E and F are the error vector of multivariate normal distribution.
The step of using partial least square method treatment state to detect data is: (take chromatographic data as example) first makes the histogram of all kinds of gases, therefrom filters out and can reflect out of order main gas, then carry out primary screening, finally draws decision variable.
Set up oil-immersed and high-voltage equipment failure detection model: set up the Intelligent Measurement models such as expert system, rough set theory, set up on this basis the classify oil-immersed and high-voltage equipment failure detection model of least square method supporting vector machine of particle group optimizing more, tectonic association encryption algorithm is realized the multicategory classification of support vector machine, utilize particle swarm optimization algorithm to be optimized set up oil-immersed and high-voltage equipment failure detection model parameter, to improve generalization and the Detection accuracy of algorithm.
The described oil-immersed and high-voltage equipment failure detection model of setting up, can realize every test parameters of the apparatus insulated oil chromatography of oil-immersed and high-voltage, short form test is carried out to pre-service, and extract its characteristic parameter as the input feature vector of fault detect, and according to input feature vector value, judge the fault type of this oil-immersed and high-voltage equipment.
As one of them embodiment, described foundation, for oil-immersed and high-voltage equipment being carried out to the step of the mathematical model of fault detect and prediction, comprises the following steps:
Adopt least square method supporting vector machine and Fuzzy Information Granulation support vector machine to set up for oil-immersed and high-voltage equipment being carried out to the mathematical model of failure prediction.
Set up oil-immersed and high-voltage equipment failure forecast model, comprising:
The oil-immersed and high-voltage equipment failure forecast model of foundation based on least square method supporting vector machine: set up one-variable linear regression forecast model and method, set up on this basis the apparatus insulated oil condition Parameter Prediction Models of oil-immersed and high-voltage based on particle cluster algorithm Optimized Least Square Support Vector returns and small echo least square method supporting vector machine returns, avoid the expansion of regression problem known variables number in traditional support vector machine homing method, simplified the parameter optimization that support vector machine returns simultaneously.Can improve precision and the confidence level of oil-immersed and high-voltage equipment failure prediction.
The one-variable linear regression formula that described failure prediction model is used: y=β
0+ β
1t+ ε
t.Wherein, fixing unknown parameter β
0, β
1be called regression coefficient, independent variable t is called regression variable, ε
t～N (0, σ
2), ε
tbeing the impacts of other enchancement factors on y, is unobservable.And use the formula using based on particle cluster algorithm Optimized Least Square Support Vector regression model to verify optimization, formula is as follows:
The oil-immersed and high-voltage equipment failure forecast model of foundation based on Fuzzy Information Granulation support vector machine: in order further to grasp the development tendency of the apparatus insulated oil condition parameter of oil-immersed and high-voltage, propose the state parameter interval prediction method returning based on Fuzzy Information Granulation support vector machine.Set up the temporal model of Fuzzy Information Granulation; do not lose the form of expression of having simplified sequential on the basis of the main information that time series contains; utilize the support vector machine regression model of particle group optimizing to train granulation collection sample, and then obtain reflecting the granulation forecast interval of the apparatus insulated oil condition parameter of oil-immersed and high-voltage variation tendency.
The described oil-immersed and high-voltage equipment failure forecast model of setting up, can realize the analysis to the apparatus insulated oily performance degradation development tendency of oil-immersed and high-voltage.
In step S103, as one of them embodiment, in the described oil-immersed and high-voltage equipment that obtains Awaiting Overhaul, in the step of every oiling data of insulating oil, described oiling data comprise chromatogram analysis data, voltage breakdown, dielectric loss, acid number and water cut.
In the mode of oiling data that can be by insulating oil in the current known various oil-immersed and high-voltage equipment that obtains Awaiting Overhaul, select optimum way to obtain data, increase to greatest extent use convenience of the present invention.
In step S104, the insulating oil historical data base of oil-immersed and high-voltage equipment (transformer, CT, PT) of accumulation of take is foundation, excavate oil-immersed and high-voltage equipment in the oil chromatography of different times, the data variation rule of short form test, and carry out a subseries according to the oil-immersed and high-voltage equipment of normal operation and abnormal running, then carry out secondary classification according to the type of the different electric pressures of oil-immersed and high-voltage equipment, model, producer, operating load, working time and insulating oil.According to described mathematical model and described oiling data, to the oil-immersed and high-voltage equipment of Awaiting Overhaul, can carry out fault detect and prediction.
In step S105, according to the result of described fault detect and prediction, the oil-immersed and high-voltage equipment of Awaiting Overhaul is carried out to corresponding maintenance.
For example, according to fault detect with predict the outcome, can realize different oil-immersed and high-voltage equipment in the oil chromatography of different times, the condition monitoring of data variation rule of short form test and the anticipation of development trend.Realize oil-immersed and high-voltage equipment by prophylactic repair to the maintenance centered by reliability or repair based on condition of component transition, the mode of keeping in repair before equipment failure occurs.Realization is carried out intellectuality in conjunction with the type of electric pressure, model, producer, operating load, working time and the insulating oil of oil-immersed and high-voltage equipment and is detected.
State Maintenance is exactly some status informations according to equipment, by the incipient fault of various strategies and model prediction and checkout equipment, and the mode of keeping in repair before fault occurs.Maintenance cost, reasonable arrangement that State Maintenance can effectively reduce equipment also shorten the servicing time that has a power failure, improve plant factor.Carrying out repair based on condition of component and can be electric power enterprise and bring huge economic and social benefit, is the inevitable direction of maintenance development.Development along with computing machine, sensor and the information processing technology, the fault detect means of oil-immersed and high-voltage equipment have obtained developing rapidly, and the dissolved gas analysis of take is that master's insulating oil specificity analysis technology is laid a good foundation as equipment failure detection as basic State Maintenance.
Compare with general technology, oil-immersed and high-voltage device maintenance method of the present invention is set up the mathematical model that oil-immersed and high-voltage equipment is carried out to fault detect and prediction, according to the oiling data of Awaiting Overhaul equipment, carry out fault detect and prediction, and overhaul accordingly according to the result of described fault detect and prediction.The present invention can effectively improve equipment failure and detect accuracy, issue exactly fault pre-alarming information, thereby more accurately the guided maintenance time, reasonable arrangement also shortens the servicing time that has a power failure, the cost of overhaul of greatly having saved oil-immersed and high-voltage equipment when improving plant factor.Realize oil-immersed and high-voltage equipment by prophylactic repair to the maintenance centered by reliability or repair based on condition of component transition, before equipment failure occurs, keep in repair.The present invention is conducive to guarantee the safety in production of electric system, has good Social benefit and economic benefit, is also the direction of Complex Power overhaul of the equipments development.
Referring to Fig. 2, is the structural representation of oil-immersed and high-voltage equipment maintenance device of the present invention.
Oil-immersed and high-voltage equipment maintenance device of the present invention, comprises Database module 201, model building module 202, data acquisition module 203, fault detect and prediction module 204 and maintenance module 205;
Described Database module 201, for setting up the insulating oil performance degradation database of oil-immersed and high-voltage equipment;
Described model building module 202, for according to the described insulating oil performance degradation database of setting up, sets up the mathematical model for oil-immersed and high-voltage equipment is carried out to fault detect and prediction;
Described data acquisition module 203, for obtaining every oiling data of insulating oil in the oil-immersed and high-voltage equipment of Awaiting Overhaul;
Described fault detect and prediction module 204, for according to described mathematical model and described oiling data, carry out fault detect and prediction to the oil-immersed and high-voltage equipment of Awaiting Overhaul;
Described maintenance module 205, for according to the result of described fault detect and prediction, carries out corresponding maintenance to the oil-immersed and high-voltage equipment of Awaiting Overhaul.
As one of them embodiment, described Database module comprises calculation of relationship degree module;
Described data acquisition module, for obtaining every oiling data of insulating oil from the historical data of oil-immersed and high-voltage equipment;
Described calculation of relationship degree module, for calculating described oiling data and the degree of association between the insulating oil performance degradation stage;
Described Database module, for according to the described degree of association of calculating, sets up insulating oil performance degradation database.
As one of them embodiment, described model building module, adopts particle group optimizing to classify least square method supporting vector machine foundation for oil-immersed and high-voltage equipment being carried out to the mathematical model of fault detect more.
The described oil-immersed and high-voltage equipment failure detection model of setting up, can realize every test parameters of the apparatus insulated oil chromatography of oil-immersed and high-voltage, short form test is carried out to pre-service, and extract its characteristic parameter as the input feature vector of fault detect, and according to input feature vector value, judge the fault type of this oil-immersed and high-voltage equipment.
As one of them embodiment, described model building module, adopts least square method supporting vector machine and Fuzzy Information Granulation support vector machine to set up for oil-immersed and high-voltage equipment being carried out to the mathematical model of failure prediction.
The described oil-immersed and high-voltage equipment failure forecast model of setting up, can realize the analysis to the apparatus insulated oily performance degradation development tendency of oil-immersed and high-voltage.
As one of them embodiment, described oiling data comprise chromatogram analysis data, voltage breakdown, dielectric loss, acid number and water cut.
In the mode of oiling data that can be by insulating oil in the current known various oil-immersed and high-voltage equipment that obtains Awaiting Overhaul, select optimum way to obtain data, increase to greatest extent use convenience of the present invention.
Compare with general technology, oil-immersed and high-voltage equipment maintenance device of the present invention is set up the mathematical model that oil-immersed and high-voltage equipment is carried out to fault detect and prediction, according to the oiling data of Awaiting Overhaul equipment, carry out fault detect and prediction, and overhaul accordingly according to the result of described fault detect and prediction.The present invention can effectively improve equipment failure and detect accuracy, issue exactly fault pre-alarming information, thereby more accurately the guided maintenance time, reasonable arrangement also shortens the servicing time that has a power failure, the cost of overhaul of greatly having saved oil-immersed and high-voltage equipment when improving plant factor.Realize oil-immersed and high-voltage equipment by prophylactic repair to the maintenance centered by reliability or repair based on condition of component transition, before equipment failure occurs, keep in repair.The present invention is conducive to guarantee the safety in production of electric system, has good Social benefit and economic benefit, is also the direction of Complex Power overhaul of the equipments development.
The above embodiment has only expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. an oil-immersed and high-voltage device maintenance method, is characterized in that, comprises the following steps:
Set up the insulating oil performance degradation database of oil-immersed and high-voltage equipment;
According to the described insulating oil performance degradation database of setting up, set up the mathematical model for oil-immersed and high-voltage equipment is carried out to fault detect and prediction;
Obtain every oiling data of the interior insulating oil of oil-immersed and high-voltage equipment of Awaiting Overhaul;
According to described mathematical model and described oiling data, the oil-immersed and high-voltage equipment of Awaiting Overhaul is carried out to fault detect and prediction;
According to the result of described fault detect and prediction, the oil-immersed and high-voltage equipment of Awaiting Overhaul is carried out to corresponding maintenance.
2. oil-immersed and high-voltage device maintenance method according to claim 1, is characterized in that, the described step of setting up the insulating oil performance degradation database of oil-immersed and high-voltage equipment, comprises the following steps:
From the historical data of oil-immersed and high-voltage equipment, obtain every oiling data of insulating oil;
Calculate described oiling data and the degree of association between the insulating oil performance degradation stage;
According to the described degree of association of calculating, set up insulating oil performance degradation database.
3. oil-immersed and high-voltage device maintenance method according to claim 1, is characterized in that, described foundation, for oil-immersed and high-voltage equipment being carried out to the step of the mathematical model of fault detect and prediction, comprises the following steps:
Adopt particle group optimizing to classify least square method supporting vector machine foundation for oil-immersed and high-voltage equipment being carried out to the mathematical model of fault detect more.
4. oil-immersed and high-voltage device maintenance method according to claim 1, is characterized in that, described foundation, for oil-immersed and high-voltage equipment being carried out to the step of the mathematical model of fault detect and prediction, comprises the following steps:
Adopt least square method supporting vector machine and Fuzzy Information Granulation support vector machine to set up for oil-immersed and high-voltage equipment being carried out to the mathematical model of failure prediction.
5. oil-immersed and high-voltage device maintenance method according to claim 1, it is characterized in that, in the described oil-immersed and high-voltage equipment that obtains Awaiting Overhaul, in the step of every oiling data of insulating oil, described oiling data comprise chromatogram analysis data, voltage breakdown, dielectric loss, acid number and water cut.
6. an oil-immersed and high-voltage equipment maintenance device, is characterized in that, comprises Database module, model building module, data acquisition module, fault detect and prediction module and maintenance module;
Described Database module, for setting up the insulating oil performance degradation database of oil-immersed and high-voltage equipment;
Described model building module, for according to the described insulating oil performance degradation database of setting up, sets up the mathematical model for oil-immersed and high-voltage equipment is carried out to fault detect and prediction;
Described data acquisition module, for obtaining every oiling data of insulating oil in the oil-immersed and high-voltage equipment of Awaiting Overhaul;
Described fault detect and prediction module, for according to described mathematical model and described oiling data, carry out fault detect and prediction to the oil-immersed and high-voltage equipment of Awaiting Overhaul;
Described maintenance module, for according to the result of described fault detect and prediction, carries out corresponding maintenance to the oil-immersed and high-voltage equipment of Awaiting Overhaul.
7. oil-immersed and high-voltage equipment maintenance device according to claim 6, is characterized in that, described Database module comprises calculation of relationship degree module;
Described data acquisition module, for obtaining every oiling data of insulating oil from the historical data of oil-immersed and high-voltage equipment;
Described calculation of relationship degree module, for calculating described oiling data and the degree of association between the insulating oil performance degradation stage;
Described Database module, for according to the described degree of association of calculating, sets up insulating oil performance degradation database.
8. oil-immersed and high-voltage equipment maintenance device according to claim 6, is characterized in that, described model building module adopts particle group optimizing to classify least square method supporting vector machine foundation for oil-immersed and high-voltage equipment being carried out to the mathematical model of fault detect more.
9. oil-immersed and high-voltage equipment maintenance device according to claim 6; it is characterized in that; described model building module, adopts least square method supporting vector machine and Fuzzy Information Granulation support vector machine to set up for oil-immersed and high-voltage equipment being carried out to the mathematical model of failure prediction.
10. oil-immersed and high-voltage equipment maintenance device according to claim 6, is characterized in that, described oiling data comprise chromatogram analysis data, voltage breakdown, dielectric loss, acid number and water cut.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104988254A (en) * | 2015-07-30 | 2015-10-21 | 舞阳钢铁有限责任公司 | Online maintenance process for blast furnace slag processing granulation equipment |
| CN107358366A (en) * | 2017-07-20 | 2017-11-17 | 国网辽宁省电力有限公司 | A kind of distribution transformer failure risk monitoring method and system |
| CN108710099A (en) * | 2018-05-24 | 2018-10-26 | 广州供电局有限公司 | Capacitance type potential transformer monitoring alarm method and system |
| CN113094651A (en) * | 2020-11-27 | 2021-07-09 | 北京航空航天大学 | Hyperspectral imaging parameter optimization design method based on rough set |
| CN113111574A (en) * | 2021-03-28 | 2021-07-13 | 西南大学 | Power transformer fault feature selection method based on B-CMOPSO algorithm optimization |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0915292A (en) * | 1995-06-28 | 1997-01-17 | Chubu Electric Power Co Inc | Transmission and distribution line fault detector |
| CN101587155A (en) * | 2009-06-08 | 2009-11-25 | 浙江大学 | Oil soaked transformer fault diagnosis method |
-
2013
- 2013-09-29 CN CN201310460234.XA patent/CN103675518B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0915292A (en) * | 1995-06-28 | 1997-01-17 | Chubu Electric Power Co Inc | Transmission and distribution line fault detector |
| CN101587155A (en) * | 2009-06-08 | 2009-11-25 | 浙江大学 | Oil soaked transformer fault diagnosis method |
Non-Patent Citations (5)
| Title |
|---|
| 申元霞等: "相关性粒子群优化模型", 《软件学报》 * |
| 胡旺等: "一种更简化而高效的粒子群优化算法", 《软件学报》 * |
| 覃煜等: "基于油气分析的电力变压器状态评估方法", 《南方电网技术》 * |
| 谢嘉祥: "油浸式变压器油在线监测系统的研究与开发", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
| 郑含博: "电力变压器状态评估及故障诊断方法研究", 《中国博士学位论文全文数据库工程科技Ⅱ辑》 * |
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| CN104988254A (en) * | 2015-07-30 | 2015-10-21 | 舞阳钢铁有限责任公司 | Online maintenance process for blast furnace slag processing granulation equipment |
| CN107358366A (en) * | 2017-07-20 | 2017-11-17 | 国网辽宁省电力有限公司 | A kind of distribution transformer failure risk monitoring method and system |
| CN107358366B (en) * | 2017-07-20 | 2020-11-06 | 国网辽宁省电力有限公司 | Distribution transformer fault risk monitoring method and system |
| CN108710099A (en) * | 2018-05-24 | 2018-10-26 | 广州供电局有限公司 | Capacitance type potential transformer monitoring alarm method and system |
| CN113094651A (en) * | 2020-11-27 | 2021-07-09 | 北京航空航天大学 | Hyperspectral imaging parameter optimization design method based on rough set |
| CN113094651B (en) * | 2020-11-27 | 2023-06-09 | 北京航空航天大学 | Hyperspectral imaging parameter optimization design method based on rough set |
| CN113111574A (en) * | 2021-03-28 | 2021-07-13 | 西南大学 | Power transformer fault feature selection method based on B-CMOPSO algorithm optimization |
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