CN110286303A - A kind of coaxial cable insulation cable ageing state appraisal procedure based on BP neural network - Google Patents
A kind of coaxial cable insulation cable ageing state appraisal procedure based on BP neural network Download PDFInfo
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- CN110286303A CN110286303A CN201910621414.9A CN201910621414A CN110286303A CN 110286303 A CN110286303 A CN 110286303A CN 201910621414 A CN201910621414 A CN 201910621414A CN 110286303 A CN110286303 A CN 110286303A
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- coaxial cable
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1263—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
- G01R31/1272—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of cable, line or wire insulation, e.g. using partial discharge measurements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
Abstract
The coaxial cable insulation cable ageing state appraisal procedure based on BP neural network that the invention discloses a kind of, the following steps are included: building BP neural network model, BP neural network model is trained according to the characteristic parameter of each coaxial cable sample and state grade, the BP neural network model after must training；Obtain the characteristic parameter of coaxial cable to be assessed, the state grade of coaxial cable to be assessed is assessed by the BP neural network model after training further according to the characteristic parameter of coaxial cable to be assessed, this method can accurately assess the insulation ag(e)ing state of coaxial cable.
Description
Technical field
The invention belongs to coaxial cable insulation cable status assessment technical fields, are related to a kind of coaxial electrical based on BP neural network
Cable insulation ag(e)ing state evaluating method.
Background technique
Coaxial cable plays an important role in the transmission of the electric energy of present electric system, and operating status is direct
Influence the safety and stablization of electric system.The projected life of cable is generally 20 to 30 years, as cable runs the increase of the time limit,
Aging can gradually occur for its insulation, and integral insulation state gradually deteriorates, for run many years cable, integral insulation aging compared with
To be serious, meanwhile, if the running environment of cable is more severe, such as moist, serious containing corrosive substance, radiation, then it is whole exhausted
The aging of edge will be more rapid, and the service life of cable is likely to lower than design service life at this time.Therefore cable insulation aging
The assessment of state is even more important, and is then easily drawn if its insulation ag(e)ing state cannot be assessed preferably with accurately estimating its replacing construction
The generation of the failure of power generation cable, for cable fault once occurring, the stoppage in transit that will lead to large electrical system is even out of control, causes serious
Economic loss and social influence.
It is more for the appraisal procedure of cable insulation aging at present, as Chinese patent CN201511018070.0 discloses one
Kind cable insulation ageing state appraisal procedure, is sliced sample of cable, chooses 140 DEG C and 160 DEG C of two temperature spots carry out
Heat ageing is taken out sample and is placed at room temperature for 24 hours, carries out stretching experiment, differential scanning to the sample after aging after aging
Calorimetric experiment, infrared spectroscopy experiment and thermogravimetric test, and obtain related data parameter；It is old to cable insulation according to data parameters
Change state is characterized, to evaluate the ageing state of cable insulation；Chinese patent CN201710192018.X discloses one kind
The Condition assessment of insulation device and method of power cable applies surge voltage in power cable, acquires high frequency divider and high frequency
Equivalent impulse resistance value is calculated in the Wave data of surge voltage acquired in current transformer and dash current, according to equivalent
Impulse resistance value judges cable insulation status.
Above for the method for cable insulation status, can the insulation ag(e)ing state to a certain extent to cable comment
Estimate, but selected reference quantity is single, cannot react the real aging conditions of cable insulation completely, meanwhile, these agings are commented
Estimate means have not been able to fully consider dispersibility existing for DATA REASONING influence there may be erroneous judgement result.
Summary of the invention
It is an object of the invention to overcome the above-mentioned prior art, provide a kind of based on the coaxial of BP neural network
Cable insulation ageing state appraisal procedure, this method can accurately assess the insulation ag(e)ing state of coaxial cable.
In order to achieve the above objectives, the coaxial cable insulation cable ageing state assessment side of the present invention based on BP neural network
Method the following steps are included:
1) several coaxial cable samples of different degree of agings are chosen from coaxial cable same model to be assessed and be in, are surveyed
Measure the characteristic parameter of each coaxial cable sample, the average power consumption of the characteristic parameter packet coaxial cable input impedance phase frequency spectrum,
Hardness, volume resistivity and the dielectric dissipation factor of major insulation material and the partial discharge quantity of coaxial cable；
2) each coaxial cable sample is divided by the characteristic parameter of each coaxial cable sample obtained according to step 1) measurement
Different state grades；
3) BP neural network model is constructed, according to the characteristic parameter of each coaxial cable sample and state grade to BP nerve
Network model is trained, the BP neural network model after must training；
4) characteristic parameter for obtaining coaxial cable to be assessed, passes through step further according to the characteristic parameter of coaxial cable to be assessed
3) the BP neural network model after the training obtained assesses the state grade of coaxial cable to be assessed.
The state of coaxial cable sample is determining according to the time limit that coaxial cable puts into operation, the time limit that puts into operation of each coaxial cable sample
It is different.
After step 4) further include: the characteristic parameter of coaxial cable to be assessed and state grade are input to the BP after training
Supplementary training is carried out to the BP neural network model after training in neural network model, the BP neural network mould after obtaining instruction newly
Type.
The state of coaxial cable sample in step 2 is classified rule specifically: when the various features parameter of coaxial cable is equal
Normally, and the operation time limit is no more than 10 years, then it is excellent for evaluating the state of the coaxial cable；When the various features parameter of coaxial cable
It is normal, and running the time limit is more than 10 years, then it is good for evaluating the state of the coaxial cable；It is deposited when in the characteristic parameter of coaxial cable
In Indexes Abnormality, but coaxial cable normal operation is not influenced, then the state for evaluating coaxial cable is；When the feature of coaxial cable
There are Indexes Abnormalities in parameter, and faulty influence coaxial cable operates normally, then it is poor for evaluating the state of the coaxial cable.
In step 1) three times by the measurement of each characteristic parameter of coaxial cable sample, then using the average value measured three times as
The final result of this feature parameter.
In step 1, when obtaining the average power consumption of coaxial cable input impedance phase frequency spectrum, in cable resistance spectrum measurement
In the process, need to control coaxial cable end open circuit or short circuit, institute's measured frequency range need to guarantee at least to wrap in cable resistance frequency spectrum
Containing 5 complete cycles of oscillation.
The invention has the following advantages:
Coaxial cable insulation cable ageing state appraisal procedure of the present invention based on BP neural network when specific operation,
Construct BP neural network model, according to the characteristic parameter of each coaxial cable sample and state grade to BP neural network model into
Row training, the BP neural network model after must training, then using the BP neural network model after training to coaxial electrical to be assessed
The state grade of cable is assessed, simple, convenient, and the precision of assessment is higher.
Detailed description of the invention
Fig. 1 is flow chart of the invention.
Specific embodiment
The invention will be described in further detail with reference to the accompanying drawing:
With reference to Fig. 1, the coaxial cable insulation cable ageing state appraisal procedure of the present invention based on BP neural network includes
Following steps:
Step 1, several coaxial cable samples from coaxial cable same model to be assessed, in different degree of agings are chosen
This, measures the characteristic parameter of each coaxial cable sample, characteristic parameter includes being averaged for coaxial cable input impedance phase frequency spectrum
Power consumption, the hardness of major insulation material, volume resistivity and dielectric dissipation factor and coaxial cable partial discharge quantity；Step 1
The sample coaxial cable of middle selection includes the coaxial cable in different insulative ageing state.When measuring characteristic parameter, each
Parameter duplicate measurements under identical conditions more than three times, takes the average value of measurement data to tie as the final measurement of each parameter
Fruit.
The specific measurement method of each characteristic parameter in step 1) are as follows:
The average power consumption of coaxial cable input impedance phase frequency spectrum.The identical coaxial cable of several models is chosen, cable is long
It spends unlimited, test loop is constituted with the conductor core wire of coaxial cable and outer conductor shielded layer, when measurement, the non-measured end of cable is (i.e.
End) cored wire conductor and outer conductor shielded layer be in open circuit or short-circuit condition；Using impedance analysis equipment, sweep measurement is solid
Determine frequency range [f1,f2] input impedance, obtain input impedance phase frequency spectrum, institute's measured frequency range need to guarantee cable resistance frequency spectrum
In include at least 5 complete cycles of oscillation.The average power consumption of impedance phase frequency spectrum is extracted according to formula (1), and 3 measurements is taken to tie
The average value of fruit refers to that input impedance phase Φ (f) takes absolute value under different frequency as final parameter value, the average power consumption
Average value afterwards, is defined as follows:
Wherein, P is average power consumption, and Φ (f) is impedance phase frequency function, f1And f2The respectively bound of measurement frequency.
The hardness of coaxial cable major insulation material.The identical coaxial cable of several models is chosen, is obtained using general slicer
The sheet specimens for taking coaxial cable major insulation material carry out hardness test, hardometer and hardness measurement experiment step using hardometer
Suddenly meet the regulation in GB/T 6032, take the average value of 3 groups of sample testing results as last hardness parameter.
The volume resistivity of coaxial cable major insulation material.The identical coaxial cable of several models is chosen, is cut using general
Piece machine obtains coaxial cable major insulation material sample, and sample requires and testing procedure is depending on GB/T 1410-2006, measurement
Volume resistivity when electrification 1min is obtained, and taking the average value of 3 groups of test results is final volume resistivity parameter.
The dielectric dissipation factor of major insulation material.The identical coaxial cable of several models is chosen, is obtained using general slicer
Coaxial cable major insulation material sample is taken, sample requires and testing procedure is depending on GB/T 1409-2006, takes 3 groups of test knots
The average value of fruit is final dielectric dissipation factor parameter.
The partial discharge quantity of coaxial cable is tested according to the test method of GB/T 3048.12-2007 Short cables,
Take the average value of 3 test results as final partial discharge quantity parameter.
Step 2, the sample coaxial cable of selection is divided into different state grades by the characteristic parameter measured according to step 1；
Specific classification rule are as follows:
It when the various features parameter of coaxial cable is normal, and runs the time limit and is no more than 10 years, then evaluate the coaxial cable
State be it is excellent；When the various features parameter of coaxial cable is normal, and running the time limit is more than 10 years, then evaluates the coaxial cable
State be it is good；When there are Indexes Abnormalities in the characteristic parameter of coaxial cable, but coaxial cable normal operation is not influenced, then evaluate
During the state of coaxial cable is；When there are Indexes Abnormalities in the characteristic parameter of coaxial cable, and faulty influence coaxial cable is just
Often operation, then it is poor for evaluating the state of the coaxial cable.
Step 3, BP neural network model is established, the characteristic parameter of the coaxial cable sample that step 1 is measured and step 2
State classification is input in neural network model, the BP neural network model after must training.
Step 4, the characteristic parameter for measuring coaxial cable to be measured, after the characteristic parameter of coaxial cable to be measured is input to training
BP neural network model in, to coaxial cable to be measured carry out status assessment.
Step 5, the characteristic parameter of coaxial cable to be measured and condition evaluation results are as supplement input, to BP neural network mould
Type carries out supplementary training, obtains BP neural network model newly, carries out assessment next time using new BP neural network model and uses.
The present invention is different by choosing coaxial cable insulation cable state grade, including it is excellent, good, in, the coaxial cable sample of difference
Each several, the coaxial cable sample for being guaranteed at different brackets state is no less than 5 parts, measures coaxial cable respectively according to step 1
The average power consumption of the input impedance phase frequency spectrum of sample, hardness, volume resistivity, the dielectric dissipation factor of major insulation material, together
The partial discharge quantity of shaft cable, using the parameter that sample coaxial cable measures as training sample to coaxial cable insulation cable status assessment
Neural network is trained, and is established and is trained and obtains neural network status assessment model, and assessment models can be comprehensive consideration 5
Relationship between characteristic parameter, can the intelligentized relationship between 5 parameters and coaxial cable insulation cable state be fitted, from
And more reliable assessment models can be obtained, it is more accurate to obtain assessment result.In addition, coaxial cable insulation cable state of the invention
Appraisal procedure is a kind of probabilistic systematic analytic method of analysis, can be by data accumulation, by characteristic parameter and target letter
Linear fit is carried out between number, and linear dimensions is automatically adjusted by feedforward and feedback matrix, to be optimal solution, and then can
Adaptive evaluates coaxial cable insulation cable state.
To sum up, a kind of coaxial cable insulation cable ageing state appraisal procedure based on neural network of the invention passes through synthesis
The average power consumption of coaxial cable input impedance phase frequency spectrum, hardness, volume resistivity, the dielectric dissipation factor of major insulation material,
5 parameters of partial discharge quantity of coaxial cable, obtain performance change of the coaxial cable in certain running environment with runing time, pass through
Neural network gives a mark to the insulation status of coaxial cable, evaluates its working condition.
The present invention proposes a kind of for measurement number for deficiency existing for existing coaxial cable insulation cable state evaluating method
According to the higher coaxial cable insulation cable state evaluating method of serious forgiveness, by 5 measuring and integrating coaxial cable under various states
Characteristic parameter can accurately assess coaxial cable insulation cable state, can effectively safeguard the stable operation of electric system, improve
The safety of power grid；There is great practical significance to the stable operation of electric system, saving economic cost.It should be noted that
It is that neural network model according to the present invention needs certain sample collection and data accumulation, that is, needs first to different conditions
Coaxial cable sample measure, and neural network is trained using measurement data, meanwhile, training sample is more,
Model accuracy rate is also higher.
As it will be easily appreciated by one skilled in the art that the foregoing is merely illustrative of the preferred embodiments of the present invention, not to
The limitation present invention, any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should all include
Within protection scope of the present invention.
The above content is combining, specific embodiment is made for the present invention to be further illustrated, and it cannot be said that of the invention
Specific embodiment is only limitted to this, for design the technical field of the invention with same process process of the present invention, be all considered as
Scope of patent protection defined by the claim that the present invention is submitted.
Claims (6)
1. a kind of coaxial cable insulation cable ageing state appraisal procedure based on BP neural network, which is characterized in that including following step
It is rapid:
1) several coaxial cable samples of different degree of agings are chosen from coaxial cable same model to be assessed and are in, measurement is each
The characteristic parameter of coaxial cable sample, the average power consumption of the characteristic parameter packet coaxial cable input impedance phase frequency spectrum, master are exhausted
Hardness, volume resistivity and the dielectric dissipation factor of edge material and the partial discharge quantity of coaxial cable；
2) each coaxial cable sample is divided into difference by the characteristic parameter of each coaxial cable sample obtained according to step 1) measurement
State grade；
3) BP neural network model is constructed, according to the characteristic parameter of each coaxial cable sample and state grade to BP neural network
Model is trained, the BP neural network model after must training；
4) characteristic parameter for obtaining coaxial cable to be assessed is obtained further according to the characteristic parameter of coaxial cable to be assessed by step 3)
To training after BP neural network model the state grade of coaxial cable to be assessed is assessed.
2. the coaxial cable insulation cable ageing state appraisal procedure according to claim 1 based on BP neural network, feature
It is, the state of coaxial cable sample determines that each coaxial cable sample puts into operation the time limit not according to the time limit that coaxial cable puts into operation
Together.
3. the coaxial cable insulation cable ageing state appraisal procedure according to claim 1 based on BP neural network, feature
It is, after step 4) further include: the characteristic parameter of coaxial cable to be assessed and state grade are input to the BP mind after training
Through carrying out supplementary training to the BP neural network model after training in network model, the BP neural network model after obtaining instruction newly.
4. the coaxial cable insulation cable ageing state appraisal procedure according to claim 1 based on BP neural network, feature
Be, the state of the coaxial cable sample in step 2 is classified rule specifically: when coaxial cable various features parameter just
Often, and the operation time limit is no more than 10 years, then it is excellent for evaluating the state of the coaxial cable；When the various features parameter of coaxial cable is equal
Normally, and the operation time limit is more than 10 years, then it is good for evaluating the state of the coaxial cable；Exist when in the characteristic parameter of coaxial cable
Indexes Abnormality, but do not influence coaxial cable normal operation, then the state for evaluating coaxial cable is；When the feature of coaxial cable is joined
There are Indexes Abnormalities in number, and faulty influence coaxial cable operates normally, then it is poor for evaluating the state of the coaxial cable.
5. the coaxial cable insulation cable ageing state appraisal procedure according to claim 1 based on BP neural network, feature
It is, in step 1) three times by each characteristic parameter measurement of coaxial cable sample, then using the average value measured three times as this
The final result of characteristic parameter.
6. the coaxial cable insulation cable ageing state appraisal procedure according to claim 1 based on BP neural network, feature
It is, in step 1, when obtaining the average power consumption of coaxial cable input impedance phase frequency spectrum, in cable resistance spectrum measurement mistake
Cheng Zhong, need to control coaxial cable end open circuit or short circuit, and institute's measured frequency range need to guarantee to include at least 5 in cable resistance frequency spectrum
A complete cycle of oscillation.
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| CN110632480A (en) * | 2019-11-03 | 2019-12-31 | 西南交通大学 | 10kV XLPE cable insulation aging state evaluation method |
| CN112180191A (en) * | 2020-09-24 | 2021-01-05 | 安徽德尔电气集团有限公司 | Wire and cable aging state assessment method |
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| CN114354880A (en) * | 2021-11-26 | 2022-04-15 | 国电南瑞南京控制系统有限公司 | Cable aging life prediction method and system based on attention BP neural network |
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| CN112180191A (en) * | 2020-09-24 | 2021-01-05 | 安徽德尔电气集团有限公司 | Wire and cable aging state assessment method |
| CN112595913A (en) * | 2020-12-07 | 2021-04-02 | 清华大学 | Cable local aging detection method and detection device |
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