CN103675518B - Oil-immersed and high-voltage device maintenance method and device - Google Patents
Oil-immersed and high-voltage device maintenance method and device Download PDFInfo
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- CN103675518B CN103675518B CN201310460234.XA CN201310460234A CN103675518B CN 103675518 B CN103675518 B CN 103675518B CN 201310460234 A CN201310460234 A CN 201310460234A CN 103675518 B CN103675518 B CN 103675518B
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Abstract
The invention discloses a kind of oil-immersed and high-voltage device maintenance method, including：Set up the insulating oil performance degradation database of oil-immersed and high-voltage equipment；According to the insulating oil performance degradation database set up, the Mathematical Modeling for carrying out fault detect and prediction to oil-immersed and high-voltage equipment is set up；Obtain every oiling data of the oil-immersed and high-voltage equipment interior insulation oil of Awaiting Overhaul；According to the Mathematical Modeling and the oiling data, the oil-immersed and high-voltage equipment to Awaiting Overhaul carries out fault detect and prediction；According to the fault detect and the result of prediction, the oil-immersed and high-voltage equipment to Awaiting Overhaul performs corresponding maintenance.Additionally, also disclosing a kind of oil-immersed and high-voltage equipment maintenance device.The present invention can effectively improve equipment fault detection accuracy, fault pre-alarming information is issued exactly, so as to the more accurate guided maintenance time, reasonable arrangement simultaneously shortens power failure maintenance time, and the cost of overhaul of oil-immersed and high-voltage equipment is greatlyd save while improving utilization rate of equipment and installations.
Description
Technical field
The present invention relates to oil-immersed and high-voltage equipment technical field, more particularly 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
With the expansion at double of interconnected network scale, it is easier to cause that large area is chain to stop because of local equipment fault
Electrification.Once there is large area blackout in power network, in addition to causing great economic loss, it is also possible to jeopardize public peace
Complete and social stability.At present, the method for tackling this cascading failure is concentrated in prevention, and the machine that accident occurs is reduced from source
Rate, and by influence control in less scope.
The safety of power network is mainly reflected in power equipment safety and system operation two aspects of safety, and power equipment safety
Operation is again the basis of system safety.Oil-immersed and high-voltage equipment is the nucleus equipment of power system power transmission and transformation part, its operation shape
State is directly connected to the safe operation of whole power system.At present, the existing more high-tension apparatus of China ran the time limit more than 20 years,
These operating high-tension apparatuses are faced with increasingly serious equipment fault and insulation ageing problem, and the probability that accident occurs is continuous
Increase.With developing rapidly for super extra-high voltage electric transmission and transformation technology, net capacity and its coverage rate further expand, oil-immersed and high-voltage
Equipment fault can cause great harm and influence or even the safe operation of the other parts that can influence power network to user.
Therefore, the operation maintenance technology and managerial skills of oil-immersed and high-voltage equipment are improved, the probability for breaking down is reduced, and
Oil-immersed and high-voltage equipment incipient fault is effectively detected in advance, predict the current of oil-immersed and high-voltage equipment and possible in the future
Running status is significant.It is general by the way of periodic inspection at present for oil-immersed and high-voltage equipment, it is this to do
Method cannot be associated in repair time, mode and frequency with equipment state, and not only the cost of overhaul is high, and be unable to reasonable arrangement
With shorten the overhaul of the equipments time, reduce utilization rate of equipment and installations.
The content 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 overhaul of the equipments
Device.
A kind of 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 insulating oil performance degradation database set up, set up for carrying out failure inspection to oil-immersed and high-voltage equipment
The Mathematical Modeling surveyed and predict；
Obtain every oiling data of the oil-immersed and high-voltage equipment interior insulation oil of Awaiting Overhaul；
According to the Mathematical Modeling and the oiling data, the oil-immersed and high-voltage equipment of Awaiting Overhaul is carried out fault detect and
Prediction；
According to the fault detect and the result of prediction, the oil-immersed and high-voltage equipment to Awaiting Overhaul performs corresponding maintenance.
Compared with general technology, oil-immersed and high-voltage device maintenance method of the present invention is set up carries out event to oil-immersed and high-voltage equipment
Barrier detection and the Mathematical Modeling of prediction, the oiling data according to Awaiting Overhaul equipment carry out fault detect and prediction, and according to described
The result of fault detect and prediction is overhauled accordingly.The present invention can effectively improve equipment fault detection accuracy, accurate
Fault pre-alarming information really is issued, so that the more accurate guided maintenance time, reasonable arrangement simultaneously shortens power failure maintenance time, carries
The cost of overhaul of oil-immersed and high-voltage equipment is greatlyd save while utilization rate of equipment and installations high.Realize oil-immersed and high-voltage equipment by regular
Overhaul to the maintenance centered on reliability or repair based on condition of component transition, repaired before equipment fault generation.It is of the invention favourable
It is also Complex Power overhaul of the equipments hair with good Social benefit and economic benefit in the safety in production for ensureing power system
The direction of exhibition.
A kind of oil-immersed and high-voltage equipment maintenance device, including Database module, model building module, data acquisition mould
Block, fault detect and prediction module and maintenance module；
The Database module, the insulating oil performance degradation database for setting up oil-immersed and high-voltage equipment；
The model building module, for according to the insulating oil performance degradation database set up, setting up for oil
Immersion high-tension apparatus carries out the Mathematical Modeling of fault detect and prediction；
The data acquisition module, every oiling number of the oil-immersed and high-voltage equipment interior insulation oil for obtaining Awaiting Overhaul
According to；
The fault detect and prediction module, for according to the Mathematical Modeling and the oiling data, to Awaiting Overhaul
Oil-immersed and high-voltage equipment carries out fault detect and prediction；
The maintenance module, for the result according to the fault detect and prediction, the oil-immersed and high-voltage to Awaiting Overhaul sets
It is standby to perform corresponding maintenance.
Compared with general technology, oil-immersed and high-voltage equipment maintenance device of the present invention is set up carries out event to oil-immersed and high-voltage equipment
Barrier detection and the Mathematical Modeling of prediction, the oiling data according to Awaiting Overhaul equipment carry out fault detect and prediction, and according to described
The result of fault detect and prediction is overhauled accordingly.The present invention can effectively improve equipment fault detection accuracy, accurate
Fault pre-alarming information really is issued, so that the more accurate guided maintenance time, reasonable arrangement simultaneously shortens power failure maintenance time, carries
The cost of overhaul of oil-immersed and high-voltage equipment is greatlyd save while utilization rate of equipment and installations high.Realize oil-immersed and high-voltage equipment by regular
Overhaul to the maintenance centered on reliability or repair based on condition of component transition, repaired before equipment fault generation.It is of the invention favourable
It is also Complex Power overhaul of the equipments hair with good Social benefit and economic benefit in the safety in production for ensureing power system
The direction of exhibition.
Brief description of the drawings
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.
Specific embodiment
It is below in conjunction with the accompanying drawings and preferably real further to illustrate the effect of the technological means taken of the invention and acquirement
Example is applied, to technical scheme, clear and complete description is carried out.
Fig. 1 is referred to, 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 is set up for carrying out event to oil-immersed and high-voltage equipment according to the insulating oil performance degradation database set up
Barrier detection and the Mathematical Modeling of prediction；
S103 obtains every oiling data of the oil-immersed and high-voltage equipment interior insulation oil of Awaiting Overhaul；
S104 carries out failure inspection according to the Mathematical Modeling and the oiling data, the oil-immersed and high-voltage equipment to Awaiting Overhaul
Survey and predict；
S105 performs corresponding inspection according to the fault detect and the result of prediction, the oil-immersed and high-voltage equipment to Awaiting Overhaul
Repair.
The insulating oil of oil-immersed and high-voltage equipment, on the one hand as the medium of interior insulation, makes have good between equipment each several part
Insulation；On the other hand it is again as the medium of radiating, the heat biography that oil-immersed and high-voltage device interior in operation is come out
Pass cooling device.The information for containing in insulating oil simultaneously can indirectly reflect the running status of transformer again, just as in human body
Blood it is the same.Therefore, normal, safe operation of the diagnosis of performance to ensureing oil-immersed and high-voltage equipment are deteriorated to insulating oil to play
Vital effect.In engineering in practice, except taking safeguard measure to operating insulating oil to prevent it prematurely old
It is outside the pale of civilization, the test of the aspect such as chromatography and breakdown voltage, dielectric loss, acid number, water content is also periodically carried out to it to judge oil immersion
The state of formula high-tension apparatus.
In step S101, setting up the apparatus insulated oily performance degradation rule database of oil-immersed and high-voltage should have data acquisition
Function, it is possible to achieve queued up to the importance of oil-immersed and high-voltage equipment failure mode and the recommendation to monitoring parameter, drawn just
Normality and the parameter control curve of fault case, obtain parameter warning value；Realize adopting the oiling data tracking of a certain specific equipment
Collection and failure ex-post analysis.
As one of embodiment, the step of the insulating oil performance degradation database for setting up oil-immersed and high-voltage equipment
Suddenly, comprise the following steps：
Every oiling data of insulating oil are obtained from the historical data of oil-immersed and high-voltage equipment；
Calculate the degree of association between the oiling data and insulating oil performance degradation stage；
According to the degree of association for calculating, insulating oil performance degradation database is set up.
Oiling data acquisition：Using the data intelligence processing method based on rough set theory, from the oil-immersed and high-voltage of accumulation
The related oiling data for containing are obtained in the insulating oil historical data base of equipment (transformer, CT, PT).Its processing method is by following
Step is produced：According to original state input system information；Information is ranked up, equivalence class is divided；Then attribute number is judged；
Structure successively decreases sequence of attributes；Knowledge Granulation and weight calculation otherwise are carried out to object；Then judge attribute number, judge object
Number.
Relevance between insulating oil performance degradation degree and insulating oil characteristic：Oil-immersed and high-voltage equipment oiling data
Characteristic quantity is different for the potential information amount in different degrees of insulating oil deterioration stage, quantifies each characteristic quantity data exhausted with specific
The degree of association between the edge oil performance degradation stage, will detect to the incipient fault of equipment and prediction suffers from critically important effect.
Equipment oiling data are carried out respectively with the many-valued discretization method based on ChiMerge algorithms using Boolean type discretization method
Discretization, recycles improved Apriori association rule algorithms to calculate the performance of oiling data characteristics amount and each deterioration stage
Between confidence level.4 steps of improved Apriori association rule algorithms point are carried out：Original insulating oil database is divided into n rule
The suitable part of mould；One group of Frequent Item Sets is individually produced for each part（Namely the characteristic quantity of correlation）；Finally by these
Item Sets merge into candidate's Frequent Item Sets of the overall situation；For whole database, the reality of each candidate's frequent item is calculated
Border confidence level, so that it is determined that last Frequent Item Sets.
Set up Changing Pattern database：In oil-immersed and high-voltage equipment condition monitoring and fault detect, set up accurate, complete
Face, reliable Changing Pattern database are the bases for carrying out equipment fault detection and prediction.Changing Pattern database should have number
According to acquisition function, it is possible to achieve the importance of fault mode is queued up and the recommendation to monitoring parameter, draw normal state with event
Hinder the parameter control curve of state, obtain parameter warning value；Realize to the oiling data tracking collection of a certain specific equipment and failure
Ex-post analysis.
In step s 102, as one of embodiment, the foundation is used to carry out failure to oil-immersed and high-voltage equipment
The step of Mathematical Modeling of detection and prediction, comprise the following steps：
Being set up for being carried out to oil-immersed and high-voltage equipment using least square method supporting vector machine of classifying particle group optimizing more therefore
Hinder the Mathematical Modeling of detection.
The oil-immersed and high-voltage equipment fault detection model of foundation, including：
The apparatus insulated oily data characteristics parameter extraction of oil-immersed and high-voltage：For the apparatus insulated oil event of oil-immersed and high-voltage set up
Data in barrier database, the every test parameters to insulation oil chromatography, short form test is pre-processed, and is built with offset minimum binary
Formwork erection type, carries out multiple variables choice, extracts judgement variable of its characteristic parameter as fault detect.PLS it is logical
It is with model：
X=TPT+E
Y=TQT+F
Wherein, X is the oil chromatography data matrix of transformer monitoring, the measuring behavior time, is classified as gas projects；Y is failure
Indicator variable, is " 0 " and " 1 " to training data value；T is weighting coefficient matrix；P and Q are loading matrix；E and F is polynary
The error vector of normal distribution.
Using PLS process state-detection data the step of be：（By taking chromatographic data as an example）First make all kinds of gas
The histogram of body, therefrom filtering out can reflect out of order predominant gas, then carry out primary screening, finally draw judgement variable.
Set up oil-immersed and high-voltage equipment fault detection model：The Intelligent Measurement model such as expert system, rough set theory is set up,
Setting up the oil-immersed and high-voltage equipment fault detection model of least square method supporting vector machine of classifying particle group optimizing on this basis more,
Tectonic association encryption algorithm realizes the multicategory classification of SVMs, high to the oil immersed type set up using particle swarm optimization algorithm
Pressure equipment fault detection model parameter is optimized, to improve the generalization and Detection accuracy of algorithm.
Described sets up oil-immersed and high-voltage equipment fault detection model, it is possible to achieve to the apparatus insulated oil colours of oil-immersed and high-voltage
Spectrum, every test parameters of short form test are pre-processed, and are extracted input feature vector of its characteristic parameter as fault detect, and
The fault type of the oil-immersed and high-voltage equipment is judged according to input feature vector value.
Used as one of embodiment, the foundation is used to carry out oil-immersed and high-voltage equipment the number of fault detect and prediction
The step of learning model, comprises the following steps：
Set up for being set to oil-immersed and high-voltage using least square method supporting vector machine and Fuzzy Information Granulation SVMs
The standby Mathematical Modeling for carrying out failure predication.
Oil-immersed and high-voltage equipment fault forecast model is set up, including：
Set up the oil-immersed and high-voltage equipment fault forecast model based on least square method supporting vector machine：Unitary is set up linearly to return
Return forecast model and method, set up returned and small echo based on particle cluster algorithm Optimized Least Square Support Vector on this basis
The oil-immersed and high-voltage apparatus insulated oil condition Parameter Prediction Models that least square method supporting vector machine is returned, it is to avoid it is traditional support to
The expansion of regression problem known variables number in amount machine homing method, while simplifying the parameter optimization of Support vector regression.
The precision and confidence level of oil-immersed and high-voltage equipment fault prediction can be improved.
The one-variable linear regression formula that described failure predication model is used：y=β0+β1t+εt.Wherein, fixed unknown ginseng
Number β0,β1Referred to as regression coefficient, independent variable t is referred to as regression variable, εt~N (0, σ2),εtIt is influence of other enchancement factors to y,
It is unobservable.And tested with the formula used based on particle cluster algorithm Optimized Least Square Support Vector regression model
Card optimization, formula is as follows：
Set up the oil-immersed and high-voltage equipment fault forecast model based on Fuzzy Information Granulation SVMs：In order to enter
One step grasp the apparatus insulated oily state property of oil-immersed and high-voltage development tendency, propose based on Fuzzy Information Granulation support to
The state parameter interval prediction method that amount machine is returned.The temporal model of Fuzzy Information Granulation is set up, time series is not lost and is accumulate
The form of expression of sequential is simplified on the basis of the main information for containing, using the Support vector regression model of particle group optimizing come
Training granulation collection sample, and then obtain reflecting the granulation Target area of the apparatus insulated oily state property variation tendency of oil-immersed and high-voltage
Between.
Described sets up oil-immersed and high-voltage equipment fault forecast model, it is possible to achieve to the apparatus insulated oiliness of oil-immersed and high-voltage
The analysis of development tendency can be deteriorated.
In step s 103, as one of embodiment, in the oil-immersed and high-voltage equipment of the acquisition Awaiting Overhaul absolutely
Edge oil every oiling data the step of in, the oiling data include chromatogram analysis data, breakdown voltage, dielectric loss, acid number and
Water content.
Can be by the side of the oiling data of the oil-immersed and high-voltage equipment interior insulation of the various acquisition Awaiting Overhauls that are currently known oil
In formula, selection optimum way obtains data, increases use convenience of the invention to greatest extent.
In step S104, the insulating oil historical data base with the oil-immersed and high-voltage equipment (transformer, CT, PT) for accumulating is
Foundation, excavates oil-immersed and high-voltage equipment in the oil chromatography of different times, the data variation rule of short form test, and according to normal fortune
Row and the oil-immersed and high-voltage equipment of abnormal running carry out a subseries, further according to oil-immersed and high-voltage equipment difference voltage class,
The type of model, producer, operating load, run time and insulating oil carries out secondary classification.According to the Mathematical Modeling and described
Oiling data, the oil-immersed and high-voltage equipment to Awaiting Overhaul can carry out fault detect and prediction.
In step S105, according to the fault detect and the result of prediction, the oil-immersed and high-voltage equipment to Awaiting Overhaul is held
The corresponding maintenance of row.
For example, according to fault detect and predicting the outcome, it is possible to achieve oil of the different oil-immersed and high-voltage equipment in different times
The anticipation of chromatogram, the condition monitoring and development trend of the data variation rule of short form test.Realize oil-immersed and high-voltage equipment
From periodic inspection to the maintenance centered on reliability or repair based on condition of component transition, the side repaired before equipment fault generation
Formula.Realize combining the type of voltage class, model, producer, operating load, run time and the insulating oil of oil-immersed and high-voltage equipment
Carry out intellectualized detection.
State Maintenance is exactly some status informations according to equipment, by various strategies and model predictions and testing equipment
Incipient fault, and the mode repaired before failure generation.State Maintenance can effectively reduce the maintenance cost of equipment, rationally pacify
Arrange and shorten power failure maintenance time, improve utilization rate of equipment and installations.Carry out repair based on condition of component can for electric power enterprise bring it is huge economical and
Social benefit, is the inevitable direction of maintenance development.With the development of computer, sensor and the information processing technology, oil immersed type
The fault detect means of high-tension apparatus are developed rapidly, the insulating oil specificity analysis skill based on dissolved gas analysis
Art is that the State Maintenance based on equipment fault detection is laid a good foundation.
Compared with general technology, oil-immersed and high-voltage device maintenance method of the present invention is set up carries out event to oil-immersed and high-voltage equipment
Barrier detection and the Mathematical Modeling of prediction, the oiling data according to Awaiting Overhaul equipment carry out fault detect and prediction, and according to described
The result of fault detect and prediction is overhauled accordingly.The present invention can effectively improve equipment fault detection accuracy, accurate
Fault pre-alarming information really is issued, so that the more accurate guided maintenance time, reasonable arrangement simultaneously shortens power failure maintenance time, carries
The cost of overhaul of oil-immersed and high-voltage equipment is greatlyd save while utilization rate of equipment and installations high.Realize oil-immersed and high-voltage equipment by regular
Overhaul to the maintenance centered on reliability or repair based on condition of component transition, repaired before equipment fault generation.It is of the invention favourable
It is also Complex Power overhaul of the equipments hair with good Social benefit and economic benefit in the safety in production for ensureing power system
The direction of exhibition.
Fig. 2 is referred to, 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, including Database module 201, model building module 202, number
According to acquisition module 203, fault detect and prediction module 204 and maintenance module 205；
The Database module 201, the insulating oil performance degradation database for setting up oil-immersed and high-voltage equipment；
The model building module 202, for according to the insulating oil performance degradation database set up, setting up for right
Oil-immersed and high-voltage equipment carries out the Mathematical Modeling of fault detect and prediction；
The data acquisition module 203, every oiling of the oil-immersed and high-voltage equipment interior insulation oil for obtaining Awaiting Overhaul
Data；
The fault detect and prediction module 204, for according to the Mathematical Modeling and the oiling data, to Awaiting Overhaul
Oil-immersed and high-voltage equipment carry out fault detect and prediction；
The maintenance module 205, for the result according to the fault detect and prediction, to the oil-immersed and high-voltage of Awaiting Overhaul
Equipment performs corresponding maintenance.
Used as one of embodiment, the Database module includes calculation of relationship degree module；
The data acquisition module, the every oiling for obtaining insulating oil from the historical data of oil-immersed and high-voltage equipment
Data；
The calculation of relationship degree module, for calculating associating between the oiling data and insulating oil performance degradation stage
Degree；
The Database module, for according to the degree of association for calculating, setting up insulating oil performance degradation database.
As one of embodiment, the model building module, using classifying particle group optimizing, least square is supported more
Vector machine sets up the Mathematical Modeling for carrying out fault detect to oil-immersed and high-voltage equipment.
Described sets up oil-immersed and high-voltage equipment fault detection model, it is possible to achieve to the apparatus insulated oil colours of oil-immersed and high-voltage
Spectrum, every test parameters of short form test are pre-processed, and are extracted input feature vector of its characteristic parameter as fault detect, and
The fault type of the oil-immersed and high-voltage equipment is judged according to input feature vector value.
As one of embodiment, the model building module, using least square method supporting vector machine and fuzzy message
Granulation SVMs sets up the Mathematical Modeling for carrying out failure predication to oil-immersed and high-voltage equipment.
Described sets up oil-immersed and high-voltage equipment fault forecast model, it is possible to achieve to the apparatus insulated oiliness of oil-immersed and high-voltage
The analysis of development tendency can be deteriorated.
As one of embodiment, the oiling data include chromatogram analysis data, breakdown voltage, dielectric loss, acid number and
Water content.
Can be by the side of the oiling data of the oil-immersed and high-voltage equipment interior insulation of the various acquisition Awaiting Overhauls that are currently known oil
In formula, selection optimum way obtains data, increases use convenience of the invention to greatest extent.
Compared with general technology, oil-immersed and high-voltage equipment maintenance device of the present invention is set up carries out event to oil-immersed and high-voltage equipment
Barrier detection and the Mathematical Modeling of prediction, the oiling data according to Awaiting Overhaul equipment carry out fault detect and prediction, and according to described
The result of fault detect and prediction is overhauled accordingly.The present invention can effectively improve equipment fault detection accuracy, accurate
Fault pre-alarming information really is issued, so that the more accurate guided maintenance time, reasonable arrangement simultaneously shortens power failure maintenance time, carries
The cost of overhaul of oil-immersed and high-voltage equipment is greatlyd save while utilization rate of equipment and installations high.Realize oil-immersed and high-voltage equipment by regular
Overhaul to the maintenance centered on reliability or repair based on condition of component transition, repaired before equipment fault generation.It is of the invention favourable
It is also Complex Power overhaul of the equipments hair with good Social benefit and economic benefit in the safety in production for ensureing power system
The direction of exhibition.
Embodiment described above only expresses several embodiments of the invention, and its description is more specific and detailed, but simultaneously
Therefore the limitation to the scope of the claims of the present invention can not be interpreted as.It should be pointed out that for one of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention
Shield scope.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (2)
1. a kind of oil-immersed and high-voltage device maintenance method, it is characterised in that comprise the following steps：
Set up the insulating oil performance degradation database of oil-immersed and high-voltage equipment；
According to set up the insulating oil performance degradation database, set up for oil-immersed and high-voltage equipment is carried out fault detect and
The Mathematical Modeling of prediction；
Obtain every oiling data of the oil-immersed and high-voltage equipment interior insulation oil of Awaiting Overhaul；
According to the Mathematical Modeling and the oiling data, fault detect and pre- is carried out to the oil-immersed and high-voltage equipment of Awaiting Overhaul
Survey；
According to the fault detect and the result of prediction, the oil-immersed and high-voltage equipment to Awaiting Overhaul performs corresponding maintenance；
Wherein, it is described set up oil-immersed and high-voltage equipment insulating oil performance degradation database the step of, comprise the following steps：
Every oiling data of insulating oil are obtained from the historical data of oil-immersed and high-voltage equipment, and the oil-immersed and high-voltage is set
Standby oiling data are tracked collection；
Calculate the degree of association between the oiling data and insulating oil performance degradation stage；
According to the degree of association for calculating, insulating oil performance degradation database is set up；
It is described to include following step the step of every oiling data of acquisition insulating oil from the historical data of oil-immersed and high-voltage equipment
Suddenly：Using the data processing method based on rough set theory, from the insulating oil historical data of the oil-immersed and high-voltage equipment of accumulation
The related oiling data that acquisition is contained；
It is described to set up the step of for carrying out fault detect and the Mathematical Modeling predicted to oil-immersed and high-voltage equipment, including following step
Suddenly：
Using classifying particle group optimizing, least square method supporting vector machine is set up for carrying out failure inspection to oil-immersed and high-voltage equipment more
The Mathematical Modeling of survey；
Or, set up for being set to oil-immersed and high-voltage using least square method supporting vector machine and Fuzzy Information Granulation SVMs
The standby Mathematical Modeling for carrying out failure predication；
In the step of every oiling data of the oil-immersed and high-voltage equipment interior insulation oil of the acquisition Awaiting Overhaul, the oiling number
According to including chromatogram analysis data, breakdown voltage, dielectric loss, acid number and water content.
2. a kind of oil-immersed and high-voltage equipment maintenance device, it is characterised in that including Database module, model building module,
Data acquisition module, fault detect and prediction module and maintenance module；
The Database module, the insulating oil performance degradation database for setting up oil-immersed and high-voltage equipment；
The model building module, for according to the insulating oil performance degradation database set up, setting up for oil immersed type
High-tension apparatus carries out the Mathematical Modeling of fault detect and prediction；
The data acquisition module, every oiling data of the oil-immersed and high-voltage equipment interior insulation oil for obtaining Awaiting Overhaul；
The fault detect and prediction module, for according to the Mathematical Modeling and the oiling data, the oil immersion to Awaiting Overhaul
Formula high-tension apparatus carries out fault detect and prediction；
The maintenance module, for the result according to the fault detect and prediction, the oil-immersed and high-voltage equipment to Awaiting Overhaul is held
The corresponding maintenance of row；
Wherein, the Database module includes calculation of relationship degree module；
The data acquisition module, is additionally operable to using the data processing method based on rough set theory, and the oil immersed type from accumulation is high
The related oiling data for containing are obtained in the insulating oil historical data of pressure equipment, and to the oiling number of the oil-immersed and high-voltage equipment
According to being tracked collection；
The calculation of relationship degree module, for calculating the degree of association between the oiling data and insulating oil performance degradation stage；
The Database module, for according to the degree of association for calculating, setting up insulating oil performance degradation database；
The model building module, using classifying particle group optimizing, least square method supporting vector machine is set up for high to oil immersed type more
Pressure equipment carries out the Mathematical Modeling of fault detect；Or, using least square method supporting vector machine and Fuzzy Information Granulation support to
Amount machine sets up the Mathematical Modeling for carrying out failure predication to oil-immersed and high-voltage equipment；
The oiling data include chromatogram analysis data, breakdown voltage, dielectric loss, acid number and water content.
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| CN201310460234.XA CN103675518B (en) | 2013-09-29 | 2013-09-29 | Oil-immersed and high-voltage device maintenance method and device |
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| CN201310460234.XA CN103675518B (en) | 2013-09-29 | 2013-09-29 | Oil-immersed and high-voltage device maintenance method and device |
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| CN103675518B true CN103675518B (en) | 2017-07-07 |
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