CN105486832A - Cable insulation aging state assessment method - Google Patents
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- 230000032683 aging Effects 0.000 title claims abstract description 111
- 238000009413 insulation Methods 0.000 title claims abstract description 66
- 238000000034 method Methods 0.000 title claims description 49
- 238000002474 experimental method Methods 0.000 claims abstract description 29
- 238000012360 testing method Methods 0.000 claims abstract description 19
- 238000002329 infrared spectrum Methods 0.000 claims abstract description 7
- 238000000113 differential scanning calorimetry Methods 0.000 claims abstract description 6
- 230000029087 digestion Effects 0.000 claims description 79
- 238000000354 decomposition reaction Methods 0.000 claims description 54
- 125000002915 carbonyl group Chemical group [*:2]C([*:1])=O 0.000 claims description 34
- 230000004913 activation Effects 0.000 claims description 33
- 238000013213 extrapolation Methods 0.000 claims description 12
- 239000000463 material Substances 0.000 claims description 11
- 230000004580 weight loss Effects 0.000 claims description 6
- 238000005259 measurement Methods 0.000 abstract description 4
- 238000011156 evaluation Methods 0.000 abstract description 3
- 238000002411 thermogravimetry Methods 0.000 abstract 1
- 239000000523 sample Substances 0.000 description 30
- 238000010586 diagram Methods 0.000 description 16
- 238000005033 Fourier transform infrared spectroscopy Methods 0.000 description 4
- 239000013078 crystal Substances 0.000 description 4
- -1 oxy radical Chemical class 0.000 description 4
- 239000004703 cross-linked polyethylene Substances 0.000 description 3
- 229920003020 cross-linked polyethylene Polymers 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 3
- 229920000642 polymer Polymers 0.000 description 3
- 238000004227 thermal cracking Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000002425 crystallisation Methods 0.000 description 2
- 230000008025 crystallization Effects 0.000 description 2
- 230000006378 damage Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 239000012774 insulation material Substances 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 150000003254 radicals Chemical class 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000001157 Fourier transform infrared spectrum Methods 0.000 description 1
- 238000010521 absorption reaction Methods 0.000 description 1
- 238000003556 assay Methods 0.000 description 1
- 238000010504 bond cleavage reaction Methods 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- HGAZMNJKRQFZKS-UHFFFAOYSA-N chloroethene;ethenyl acetate Chemical compound ClC=C.CC(=O)OC=C HGAZMNJKRQFZKS-UHFFFAOYSA-N 0.000 description 1
- 230000009194 climbing Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 238000001938 differential scanning calorimetry curve Methods 0.000 description 1
- 230000003028 elevating effect Effects 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 239000011810 insulating material Substances 0.000 description 1
- 238000002844 melting Methods 0.000 description 1
- 230000008018 melting Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000007017 scission Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000003878 thermal aging Methods 0.000 description 1
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Abstract
The invention discloses a cable insulation aging state evaluation method, which comprises the following steps: slicing a cable sample, selecting two temperature points of 140 ℃ and 160 ℃ for thermal ageing, taking out the sample after ageing is finished, and standing for 24 hours at room temperature; carrying out a stretching experiment, a differential scanning calorimetry experiment, an infrared spectrum experiment and a thermogravimetric experiment on the aged test sample, and acquiring related data parameters; and characterizing the insulation aging state of the cable according to the data parameters so as to evaluate the aging state of the cable insulation. The cable insulation aging state evaluation method can avoid result deviation caused by measurement errors, so that the aging state can be evaluated more accurately.
Description
Technical field
The present invention relates to electric insulation field, particularly relate to a kind of cable insulation ageing state appraisal procedure based on multiparameter extraction processing scheme.
Background technology
The aging of cable insulation is the key factor affecting cable electrical performance.Therefore, be the problem be extremely concerned about in the industry to the ageing state of actual motion cable and insulation life assessment.
Single factor test breaking elongation method is the major experimental means being commonly used to evaluate XLPE cable insulation at present.Single factor test breaking elongation method a kind of easyly judges cable insulation state evaluating method intuitively.Cable is cut into slices, is then processed into the sample of dumbbell shaped, carry out multi-drawing test, measured breaking elongation is averaged.When breaking elongation reduces to original 50% with digestion time, then think that the darker insulation life of its degree of aging stops.But this appraisal procedure, only based on a kind of mechanics parameter breaking elongation, can not reflect aging state comprehensively, the data measuring gained also have error, all can affect to some extent the assessment of ageing state.These shortcomings also limit applying of this method.
Summary of the invention
Technical matters to be solved by this invention is, provides a kind of cable insulation ageing state appraisal procedure, can avoid the result error because measuring error causes, make assessment ageing state more accurate.
In order to solve the problems of the technologies described above, The embodiment provides a kind of cable insulation ageing state appraisal procedure, comprise the following steps: sample of cable is cut into slices, choose 140 DEG C and 160 DEG C of two temperature spots carry out heat ageing, take out sample after aging and at room temperature place 24h; Stretching experiment, means of differential scanning calorimetry experiment, infrared spectrum experiment and thermogravimetric test are carried out to the sample after aging, and obtains related data parameter; According to data parameters, cable insulation ageing state is characterized, in order to evaluate the ageing state of cable insulation.
Wherein, what data parameters comprised digestion time, breaking elongation, pulling strengrth, melt temperature, carbonyl index, extrapolation initial decomposition temperature and stopped in decomposition temperature and energy of activation is one or more.
Wherein, comprise the following steps after obtaining the step of related data parameter: respectively with breaking elongation and pulling strengrth for ordinate, digestion time is horizontal ordinate, draw the graph of a relation of mechanical property and digestion time, draw breaking elongation, the pulling strengrth data parameters that all exponent function relation declines along with the increase of digestion time according to mechanical property and digestion time graph of a relation.
Wherein, comprise the following steps after obtaining the step of related data parameter: take melt temperature as ordinate, digestion time is horizontal ordinate, draw the graph of a relation of melt temperature and digestion time, graph of a relation according to melt temperature and digestion time show that melt temperature moves to low temperature direction with digestion time passing, the data parameters that material molten peak area diminishes with the passing of digestion time.
Wherein, comprise the following steps after obtaining the step of related data parameter: take carbonyl index as ordinate, digestion time is horizontal ordinate, draw the graph of a relation of carbonyl index and digestion time, show that carbonyl index increases digestion time and the data parameters that increases according to carbonyl index and digestion time according to graph of a relation.
Wherein, comprise the following steps after obtaining the step of related data parameter: push away initial decomposition temperature in addition, termination decomposition temperature and energy of activation are ordinate, digestion time is horizontal ordinate, draw extrapolation initial decomposition temperature, the fastest thermal weight loss temperature, stop the graph of a relation of decomposition temperature and energy of activation and digestion time, according to extrapolation initial decomposition temperature, the fastest thermal weight loss temperature, the graph of a relation stopping decomposition temperature and energy of activation and digestion time draws along with digestion time increases, the energy of activation of material and initial decomposition temperature reduce, stop decomposition temperature and change little data parameters.
Wherein, according to data parameters, the step that cable insulation ageing state characterizes is comprised: select and the large data parameters of elongation at break rate dependence, get rid of and the little or incoherent data parameters of elongation at break rate dependence, obtain the step that pulling strengrth, energy of activation, initial decomposition temperature and carbonyl index and breaking elongation have obvious correlativity.
Wherein, also comprise: the relation setting up pulling strengrth, energy of activation, initial decomposition temperature and carbonyl index and breaking elongation, characterize the step of cable insulation ageing state.
Implement cable insulation ageing state appraisal procedure of the present invention, there is following beneficial effect: by carrying out stretching experiment, means of differential scanning calorimetry experiment, infrared spectrum experiment and thermogravimetric test to the sample after aging, and obtain related data parameter; According to data parameters, cable insulation ageing state is characterized, in order to evaluate the ageing state of cable insulation, the program has considered physicochemical property and the change of mechanical property rules such as cable ageing process Middle molecule structure, crystal habit, thermal cracking energy of activation, compared with only considering that mechanical property changes with traditional single factor test breaking elongation method, the factor considered is more more comprehensively many, also can avoid the result error because measuring error causes, assessment ageing state is more accurate.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the relation schematic diagram of sample fracture length growth rate and digestion time at 140 DEG C of embodiment of the present invention cable insulation ageing state appraisal procedure.
Fig. 2 is the relation schematic diagram of sample pulling strengrth and digestion time at 140 DEG C of embodiment of the present invention cable insulation ageing state appraisal procedure.
Fig. 3 is the relation schematic diagram of sample fracture length growth rate and digestion time at 160 DEG C of embodiment of the present invention cable insulation ageing state appraisal procedure.
Fig. 4 is the relation schematic diagram of sample pulling strengrth and digestion time at 160 DEG C of embodiment of the present invention cable insulation ageing state appraisal procedure.
Fig. 5 is 140 DEG C of aging sample melt temperature change curve schematic diagram of embodiment of the present invention cable insulation ageing state appraisal procedure.
Fig. 6 is 160 DEG C of aging sample melt temperature change curve schematic diagram of embodiment of the present invention cable insulation ageing state appraisal procedure.
Fig. 7 is the FTIR curve synoptic diagram of 140 DEG C of different digestion times of embodiment of the present invention cable insulation ageing state appraisal procedure.
Fig. 8 is 140 DEG C of carbonyl indexes of embodiment of the present invention cable insulation ageing state appraisal procedure and the relation schematic diagram of digestion time.
Fig. 9 is the FTIR curve synoptic diagram of 160 DEG C of different digestion times of embodiment of the present invention cable insulation ageing state appraisal procedure.
Figure 10 is 160 DEG C of carbonyl indexes of embodiment of the present invention cable insulation ageing state appraisal procedure and the relation schematic diagram of digestion time.
Figure 11 is 140 DEG C of aging sample energy of activation of embodiment of the present invention cable insulation ageing state appraisal procedure and the relation schematic diagram of digestion time.
Figure 12 is 140 DEG C of initial decomposition temperatures and the digestion time relation schematic diagram of embodiment of the present invention cable insulation ageing state appraisal procedure.
Figure 13 is that 140 DEG C of embodiment of the present invention cable insulation ageing state appraisal procedure stop decomposition temperature and digestion time relation schematic diagram.
Figure 14 is the relation schematic diagram of energy of activation and digestion time at 160 DEG C of embodiment of the present invention cable insulation ageing state appraisal procedure.
Figure 15 is 160 DEG C of initial decomposition temperatures and the digestion time relation schematic diagram of embodiment of the present invention cable insulation ageing state appraisal procedure.
160 DEG C of Figure 16 embodiment of the present invention cable insulation ageing state appraisal procedure for stopping decomposition temperature and digestion time relation schematic diagram.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
As shown in Fig. 1-Figure 16, it is the embodiment one of cable insulation ageing state appraisal procedure of the present invention.
The embodiment provides a kind of cable insulation ageing state appraisal procedure, comprise the following steps: sample of cable is cut into slices, choose 140 DEG C and 160 DEG C of two temperature spots carry out heat ageing, take out sample after aging and at room temperature place 24h; Stretching experiment, means of differential scanning calorimetry experiment, infrared spectrum experiment and thermogravimetric test are carried out to the sample after aging, and obtains related data parameter; According to data parameters, cable insulation ageing state is characterized, in order to evaluate the ageing state of cable insulation.
Wherein, what data parameters comprised digestion time, breaking elongation, pulling strengrth, melt temperature, carbonyl index, extrapolation initial decomposition temperature and stopped in decomposition temperature and energy of activation is one or more.
Wherein, comprise the following steps after obtaining the step of related data parameter: respectively with breaking elongation and pulling strengrth for ordinate, digestion time is horizontal ordinate, draw the graph of a relation of mechanical property and digestion time, draw breaking elongation, the pulling strengrth data parameters that all exponent function relation declines along with the increase of digestion time according to mechanical property and digestion time graph of a relation.
Wherein, comprise the following steps after obtaining the step of related data parameter: take melt temperature as ordinate, digestion time is horizontal ordinate, draw the graph of a relation of melt temperature and digestion time, graph of a relation according to melt temperature and digestion time show that melt temperature moves to low temperature direction with digestion time passing, the data parameters that material molten peak area diminishes with the passing of digestion time.
Wherein, comprise the following steps after obtaining the step of related data parameter: take carbonyl index as ordinate, digestion time is horizontal ordinate, draw the graph of a relation of carbonyl index and digestion time, show that carbonyl index increases digestion time and the data parameters that increases according to carbonyl index and digestion time according to graph of a relation.
Wherein, comprise the following steps after obtaining the step of related data parameter: push away initial decomposition temperature in addition, termination decomposition temperature and energy of activation are ordinate, digestion time is horizontal ordinate, draw extrapolation initial decomposition temperature, the fastest thermal weight loss temperature, stop the graph of a relation of decomposition temperature and energy of activation and digestion time, according to extrapolation initial decomposition temperature, the fastest thermal weight loss temperature, the graph of a relation stopping decomposition temperature and energy of activation and digestion time draws along with digestion time increases, the energy of activation of material and initial decomposition temperature reduce, stop decomposition temperature and change little data parameters.
Wherein, according to data parameters, the step that cable insulation ageing state characterizes is comprised: select and the large data parameters of elongation at break rate dependence, get rid of and the little or incoherent data parameters of elongation at break rate dependence, obtain the step that pulling strengrth, energy of activation, initial decomposition temperature and carbonyl index and breaking elongation have obvious correlativity.
Wherein, also comprise: the relation setting up pulling strengrth, energy of activation, initial decomposition temperature and carbonyl index and breaking elongation, characterize the step of cable insulation ageing state.
Cable insulation ageing state appraisal procedure of the present invention in the specific implementation, first to cable section carry out thermal ageing test, aging temperature and digestion time as shown in table 1.At room temperature place 24h after taking out sample, then test.
Table 1 aging condition
| 140℃ | 160℃ |
| 216h | 120h |
| 432h | 140h |
| 648h | 360h |
| 864h | 480h |
| 1080h | 600h |
| 1296h | 720h |
Carry out stretching experiment to the sample of different digestion time, experiment adopts 5KNCMT-4503 puller system, and sample thickness is 0.6mm, processing factory's standard dumbbell shaped batten.Experimentally result draws the experiment of breaking elongation and pulling strengrth as shown in Figure 1.As seen from Figure 1, all along with the increase of digestion time, exponent function relation declines for breaking elongation, pulling strengrth; In Heat Ageing, polymer molecular chain fast fracture, oxy radical concentration sharply rise, and can cause the destruction of unrepairable at short notice to material molecule chain, cause thermal degradation to be carried out rapidly, the mechanical property of materials sharply declines.
Carry out DSC experiment to the sample of different digestion time, sample weight 6mg, temperature elevating range is 50 DEG C-160 DEG C, at 160 DEG C, be incubated 1min, is then cooled to 50 DEG C, and temperature rate is 10 DEG C/min.DSC experiment is generally used for the crystallization process of research blend.Fig. 2 is different digestion time sample melt temperature change curves, as seen from Figure 2 in ageing process with the passing of digestion time, go out occurrence peak crystallization, secondary melting peak in DSC curve.There is a small peak in cable insulation medium, illustrate that in Heat Ageing, material crystals changes, and creates crystal separation in Heat Ageing in DSC fusion curve.Tm passes with digestion time and moves to low temperature direction simultaneously, and material molten peak area diminishes with the passing of digestion time.This shows that high temperature ageing has destruction to XLPE crystalline region, and spherulite size reduces, and crystallinity reduces.
FTIR experiment uses IRPrestige-21 type infrared spectrometer, carries out Infrared spectrum scanning to cable sample radial section.Under Fig. 3 and Fig. 4 provides different aging temperature, sample FTIR spectrum curve is with aging Changing Pattern, and under different aging temperature cable insulation sample carbonyl index with the variation tendency of digestion time.As can be seen from infrared test result, the absorption peak area along with the intensification 1720cm-1 place of degree of aging becomes large, and carbonyl index increases.This is because cable insulation material is in Heat Ageing, and breaking polymer chains, oxy radical concentration rise.Aging temperature higher carbonyl index climbing speed is faster.Exchange XLPE cable in Heat Ageing, there is random scission reaction in the collateralization in tygon macromolecular chain, carbonyl, peroxy radicals, chain end group etc., the free radical produced after chain rupture causes series reaction again.The free radical simultaneously produced in Heat Ageing also can cause the crosslinked further of polymer molecular chain.Therefore in low temperature aging process, carbonyl index first slowly rises.High temperature accelerates the change of insulating material molecular chain structure, aggravation O
2react with strand, in strand, oxy radical sharply increases, and carbonyl index increases.
TG experiment uses TGA/SDTA851e type thermogravimetric analyzer, sample weight 6mg, and probe temperature is 50-600 DEG C, and heating rate is 20 DEG C/min, and substitutes Toop method calculating energy of activation by Coast-redfern method.Result is as shown in Fig. 5,6,7,8, and as can be seen from the figure, along with the intensification of degree of aging, the energy of activation of material and initial decomposition temperature reduce, and stop decomposition temperature change little, in heat ageing, cable insulation material thermal cracking accounts for principal element.
For multiple parameter prediction breaking elongation, each characteristic parameter reflects certain physical meaning.If to the indiscriminate whole use of parameter, on the one hand, the cost using more characteristic parameter to carry out predicting is higher; On the other hand, it is improper that characteristic parameter is selected, and increases characteristic parameter and make the accuracy of prediction reduce on the contrary.Accurate Prediction breaking elongation, the selection of characteristic parameter is extremely important, when selecting characteristic parameter, select the parameter large with elongation at break rate dependence, get rid of those and elongation at break rate dependence is little or incoherent parameter.By significance test, can be got rid of those and elongation at break rate dependence is little or incoherent parameter.
Table 2140 DEG C associated arguments and the breaking elongation table of comparisons
| Digestion time (h) | 216 | 432 | 648 | 864 | 1080 | 1296 |
| Energy of activation (KJ/mol) | 346.6 | 367.7 | 377.8 | 279.3 | 372 | 413.1 |
| Extrapolation initial decomposition temperature (DEG C) | 457.76 | 464.96 | 463.6 | 452.89 | 465.64 | 467.18 |
| Actual measurement initial decomposition temperature (DEG C) | 409 | 406.4 | 416.8 | 377.8 | 384.8 | 398.4 |
| Extrapolation stops decomposition temperature (DEG C) | 499.52 | 502.7 | 502.5 | 490.53 | 503.93 | 503.45 |
| Actual measurement stops decomposition temperature (DEG C) | 521.2 | 521 | 518.6 | 509.8 | 515.4 | 517.8 |
| Survey the fastest decomposition temperature (DEG C) | 481.31 | 494 | 488.4 | 481.4 | 488 | 488.6 |
| Breaking elongation (%) | 770.41 | 789.7 | 715.1 | 651.78 | 627.43 | 609.7 |
| Pulling strengrth (MPa) | 28.35 | 28.13 | 24.28 | 21.83 | 16.07 | 16.08 |
Statistical inference principle can not be there is and carry out in the ultimate principle of this inspection according to small probability event.Usually first specify boundary, i.e. a level of signifiance, represent with α.In test of hypothesis, if small probability event there occurs, we just have reason to suspect the correctness of null hypothesis, thus refusal null hypothesis.Otherwise, accept null hypothesis.Level of signifiance α generally represents remarkable with α=0.025.α=0.01 represents highly significant.Checking procedure is as follows:
A () sets up null hypothesis and alternative hvpothesis H
0and H
1
H
0: r
xy=0 related coefficient is 0
H
1: r
xy≠ 0 related coefficient is not 0;
B () sets up statistic t
(c) given level of significance
The level of signifiance is given as α=0.025.
The value of (d) compute statistics
When H0 assumes immediately,
obedience degree of freedom is the t distribution of n-2 (n is sample number), and rejection region is
The value of compute statistics t, table 3 gives the assay of significance of correlation coefficient.
Table 3 significance test result
Work as H
0assuming immediately, is the t distribution of 10 for degree of freedom, its level of significance be 0.025 rejection region Wei ∣ t ∣ >2.228.Through inspection, pulling strengrth, energy of activation, initial decomposition temperature, carbonyl index are in rejection region, have obvious correlativity with breaking elongation; Extrapolation initial decomposition temperature, termination decomposition temperature are not in rejection region, do not have significant correlation with breaking elongation.
Generally, the fitting precision of model adopts standard deviation sigma evaluation, and σ is less then illustrates that model error is less, and precision of prediction is higher.Suppose: characteristic parameter x and ageing state S has:
S＝f(x)(3)
Suppose that actual ageing state is predicted as S0, then predict that ageing state S should meet normal distribution N (S):
In formula: σ---standard deviation.
Multiple characteristic parameter xi predicts ageing state, then can be write as following formula:
In formula:
α i---coefficient, and
Be S0 because each Si meets average, variance is σ normal distribution, then Smul also meets normal distribution, and its average is that S0, variances sigma mul can be expressed as:
In formula:
ρ ij---the related coefficient of parameter xi, xj.
Many reference amounts forecasting reliability can represent:
By making reliability obtain maximal value, the coefficient of each characteristic parameter in forecast model can be obtained.The method can calculate the many reference amounts diagnosis maximum reliability of ageing state and the weight given shared by each parameter, and it not only considers parameter and the direct correlativity of ageing state, have also contemplated that the correlativity between parameter.Table 4 gives the related coefficient between characteristic parameter and breaking elongation.
Related coefficient between table 4 characteristic parameter and breaking elongation
Adopt multiparameter diagnosis research, from 8 parameters, extract energy of activation, initial decomposition temperature, pulling strengrth, carbonyl index, characterize cable ageing state.According to above-mentioned many reference amounts diagnosis prediction model, can obtain:
S
mul＝0.01x
1-0.785x
2+8.51x
3-123.33x
4+949.1(8)
Wherein Smul is prediction breaking elongation, and x1 to x4 represents that energy of activation, initial decomposition temperature, pulling strengrth, carbonyl index measure numerical value.
In order to improve the comparability of cable performance, get this batch of cable cut and split the benchmark SST of the maximal value (887.49) in length growth rate and prediction breaking elongation as breaking elongation, Smul/SST is adopted to assess cable insulation state, as shown in table 5, this ratio is more close to 1, and its overall performance is better.
In sum, multiparameter extraction can be utilized to go out characteristic parameter, the relational expression then obtaining characteristic parameter and breaking elongation carrys out the aging state of comprehensive assessment cable insulation.
The ratio of each cable prediction breaking elongation of table 5 and benchmark breaking elongation
| Numbering | 2 | 7 | 10 | 11 | 16 | 17 | 21 | 22 | 24 |
| S mul/S ST | 0.94 | 0.99 | 0.92 | 0.94 | 0.93 | 0.89 | 0.91 | 0.82 | 0.75 |
| Numbering | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 33 | 34 |
| S mul/S ST | 0.94 | 0.73 | 0.92 | 0.81 | 0.97 | 0.96 | 0.93 | 0.89 | 0.94 |
| Numbering | 36 | 37 | 38 | 40 | 41 | 42 | 43 | 44 | 45 |
| S mul/S ST | 0.66 | 0.68 | 0.92 | 0.77 | 0.81 | 0.68 | 0.94 | 0.90 | 0.88 |
| Numbering | 47 | 48 | 49 | 51 | 52 | ||||
| S mul/S ST | 0.90 | 0.84 | 0.96 | 0.89 | 1 |
The present invention carries out heat ageing to 35kV power cable at 140 DEG C and 160 DEG C, stretching experiment, DSC experiment, FTIR experiment and TG experiment are carried out to the aging sample of different thermal aging time, significance test is carried out according to parameters obtained and breaking elongation, obtain the characteristic parameter relevant with breaking elongation, set up the relational expression of characteristic parameter and breaking elongation to assess the aging state of cable insulation.According to the result of significance test, pulling strengrth, energy of activation, initial decomposition temperature and carbonyl index breaking elongation have obvious correlativity.Set up the relation of characteristic parameter and breaking elongation, can obtain:
S
mul＝0.01x
1-0.785x
2+8.51x
3-123.33x
4+949.1
Wherein: Smul is prediction breaking elongation, and x1 to x4 represents energy of activation, initial decomposition temperature, pulling strengrth, carbonyl index measurement numerical value.Get the benchmark SST of the maximal value in sample of cable Fracture length growth rate and prediction breaking elongation as breaking elongation, adopt Smul/SST to assess cable insulation state, this ratio is more close to 1, and its overall performance is better.
Implement cable insulation ageing state appraisal procedure of the present invention, there is following beneficial effect: by carrying out stretching experiment, means of differential scanning calorimetry experiment, infrared spectrum experiment and thermogravimetric test to the sample after aging, and obtain related data parameter; According to data parameters, cable insulation ageing state is characterized, in order to evaluate the ageing state of cable insulation, the program has considered physicochemical property and the change of mechanical property rules such as cable ageing process Middle molecule structure, crystal habit, thermal cracking energy of activation, compared with only considering that mechanical property changes with traditional single factor test breaking elongation method, the factor considered is more more comprehensively many, also can avoid the result error because measuring error causes, assessment ageing state is more accurate.
Claims (8)
1. a cable insulation ageing state appraisal procedure, is characterized in that, comprises the following steps:
Sample of cable is cut into slices, chooses 140 DEG C and 160 DEG C of two temperature spots carry out heat ageing, take out sample after aging and at room temperature place 24h;
Stretching experiment, means of differential scanning calorimetry experiment, infrared spectrum experiment and thermogravimetric test are carried out to the sample after aging, and obtains related data parameter;
According to described data parameters, cable insulation ageing state is characterized, in order to evaluate the ageing state of cable insulation.
2. cable insulation ageing state appraisal procedure as claimed in claim 1, it is characterized in that, it is one or more that described data parameters comprises digestion time, breaking elongation, pulling strengrth, melt temperature, carbonyl index, extrapolation initial decomposition temperature and stops in decomposition temperature and energy of activation.
3. cable insulation ageing state appraisal procedure as claimed in claim 2, is characterized in that, comprise the following steps after the step of described acquisition related data parameter:
Respectively with breaking elongation and pulling strengrth for ordinate, digestion time is horizontal ordinate, draw the graph of a relation of mechanical property and digestion time, draw breaking elongation, the pulling strengrth data parameters that all exponent function relation declines along with the increase of digestion time according to described mechanical property and digestion time graph of a relation.
4. cable insulation ageing state appraisal procedure as claimed in claim 3, is characterized in that, comprise the following steps after the step of described acquisition related data parameter:
Take melt temperature as ordinate, digestion time is horizontal ordinate, draw the graph of a relation of melt temperature and digestion time, graph of a relation according to melt temperature and digestion time show that melt temperature moves to low temperature direction with digestion time passing, the data parameters that material molten peak area diminishes with the passing of digestion time.
5. cable insulation ageing state appraisal procedure as claimed in claim 4, is characterized in that, comprise the following steps after the step of described acquisition related data parameter:
Take carbonyl index as ordinate, digestion time is horizontal ordinate, draws the graph of a relation of carbonyl index and digestion time, show that carbonyl index increases digestion time and the data parameters that increases according to described carbonyl index and digestion time according to graph of a relation.
6. cable insulation ageing state appraisal procedure as claimed in claim 5, is characterized in that, comprise the following steps after the step of described acquisition related data parameter:
Pushing away initial decomposition temperature, termination decomposition temperature and energy of activation is in addition ordinate, digestion time is horizontal ordinate, draw extrapolation initial decomposition temperature, the fastest thermal weight loss temperature, stop the graph of a relation of decomposition temperature and energy of activation and digestion time, draw along with digestion time increases according to described extrapolation initial decomposition temperature, the fastest thermal weight loss temperature, the graph of a relation that stops decomposition temperature and energy of activation and digestion time, the energy of activation of material and initial decomposition temperature reduce, and stop decomposition temperature and change little data parameters.
7. cable insulation ageing state appraisal procedure as claimed in claim 6, is characterized in that, describedly comprises the step that cable insulation ageing state characterizes according to described data parameters:
Select and the large data parameters of elongation at break rate dependence, to get rid of and elongation at break rate dependence is little or incoherent data parameters, obtain the step that pulling strengrth, energy of activation, initial decomposition temperature and carbonyl index and breaking elongation have obvious correlativity.
8. cable insulation ageing state appraisal procedure as claimed in claim 7, is characterized in that, also comprise: the relation setting up pulling strengrth, energy of activation, initial decomposition temperature and carbonyl index and breaking elongation, characterizes the step of cable insulation ageing state.
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| CN106018250A (en) * | 2016-05-20 | 2016-10-12 | 复旦大学 | Method for comprehensive assessment of reasons of irradiation ageing damage of nuclear power engineering plastics |
| CN106404551A (en) * | 2016-08-19 | 2017-02-15 | 南京理工大学 | Experiment system and method for simulation of subway vehicle cable accelerated aging |
| CN106872070A (en) * | 2016-12-29 | 2017-06-20 | 大连银海贡创科技发展有限公司 | A kind of optical fiber composite cable expert diagnostic system based on many reference amounts |
| CN108896884A (en) * | 2018-07-05 | 2018-11-27 | 重庆大学 | The simple appraisal procedure of paper oil insulation heat ageing state |
| CN108918989A (en) * | 2018-04-28 | 2018-11-30 | 国网上海市电力公司 | A kind of military service cable residue lifetime estimation method based on multi-parameter |
| CN109283408A (en) * | 2018-08-28 | 2019-01-29 | 南方电网科学研究院有限责任公司 | Method for predicting health state of combined electrical appliance insulating part |
| CN109521041A (en) * | 2018-11-30 | 2019-03-26 | 华南理工大学 | XLPE material thermal aging dynamic process multiphase combined detection method |
| CN110186513A (en) * | 2019-06-18 | 2019-08-30 | 重庆大学 | A kind of characterizing method of sea cable crosslinked polyethylene insulation material aging |
| CN110308375A (en) * | 2019-06-26 | 2019-10-08 | 国网陕西省电力公司西安供电公司 | A kind of cable insulation status appraisal procedure based on Artificial neural network ensemble |
| CN110455698A (en) * | 2019-08-01 | 2019-11-15 | 复旦大学 | A kind of integrated approach of quantitative assessment nuclear grade cable degree of aging |
| CN111337418A (en) * | 2020-03-20 | 2020-06-26 | 中广核三角洲（太仓）检测技术有限公司 | Method for evaluating service life of polyolefin cable insulating material for nuclear power station |
| CN111398722A (en) * | 2020-04-14 | 2020-07-10 | 西安交通大学 | Equipment for on-site measurement of transmission characteristics of power cable |
| CN112710820A (en) * | 2020-12-17 | 2021-04-27 | 国网上海市电力公司 | Rubber cable joint aging state evaluation method based on static contact angle |
| CN112765776A (en) * | 2020-12-28 | 2021-05-07 | 西安交通大学 | Crosslinked polyethylene cable insulation aging state assessment method and system |
| CN112763541A (en) * | 2020-12-23 | 2021-05-07 | 上海交通大学 | Thermal life evaluation method of cable insulation material |
| CN112949099A (en) * | 2021-04-28 | 2021-06-11 | 哈尔滨理工大学 | Mathematical model for prediction of electric-heat combined aging life of crosslinked polyethylene cable |
| CN113281580A (en) * | 2021-04-12 | 2021-08-20 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Method for representing degradation characteristic of high-frequency substrate in thermal-oxidative aging process |
| CN113588452A (en) * | 2021-07-30 | 2021-11-02 | 国网青海省电力公司信息通信公司 | Cable life prediction method and device, processor and storage medium |
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| CN106018250B (en) * | 2016-05-20 | 2019-11-12 | 复旦大学 | A kind of synthetic judgement of nuclear power engineering plastics radiation aging damage reason |
| CN106018250A (en) * | 2016-05-20 | 2016-10-12 | 复旦大学 | Method for comprehensive assessment of reasons of irradiation ageing damage of nuclear power engineering plastics |
| CN106404551A (en) * | 2016-08-19 | 2017-02-15 | 南京理工大学 | Experiment system and method for simulation of subway vehicle cable accelerated aging |
| CN106872070A (en) * | 2016-12-29 | 2017-06-20 | 大连银海贡创科技发展有限公司 | A kind of optical fiber composite cable expert diagnostic system based on many reference amounts |
| CN108918989A (en) * | 2018-04-28 | 2018-11-30 | 国网上海市电力公司 | A kind of military service cable residue lifetime estimation method based on multi-parameter |
| CN108896884B (en) * | 2018-07-05 | 2020-09-15 | 重庆大学 | Simple evaluation method for thermal aging state of oiled paper insulation |
| CN108896884A (en) * | 2018-07-05 | 2018-11-27 | 重庆大学 | The simple appraisal procedure of paper oil insulation heat ageing state |
| CN109283408A (en) * | 2018-08-28 | 2019-01-29 | 南方电网科学研究院有限责任公司 | Method for predicting health state of combined electrical appliance insulating part |
| CN109521041A (en) * | 2018-11-30 | 2019-03-26 | 华南理工大学 | XLPE material thermal aging dynamic process multiphase combined detection method |
| CN109521041B (en) * | 2018-11-30 | 2022-05-17 | 华南理工大学 | XLPE material thermal aging dynamic process multiphase combined detection method |
| CN110186513A (en) * | 2019-06-18 | 2019-08-30 | 重庆大学 | A kind of characterizing method of sea cable crosslinked polyethylene insulation material aging |
| CN110308375A (en) * | 2019-06-26 | 2019-10-08 | 国网陕西省电力公司西安供电公司 | A kind of cable insulation status appraisal procedure based on Artificial neural network ensemble |
| CN110455698A (en) * | 2019-08-01 | 2019-11-15 | 复旦大学 | A kind of integrated approach of quantitative assessment nuclear grade cable degree of aging |
| CN110455698B (en) * | 2019-08-01 | 2022-03-18 | 复旦大学 | Comprehensive method for quantitatively evaluating ageing degree of nuclear-grade cable |
| CN111337418A (en) * | 2020-03-20 | 2020-06-26 | 中广核三角洲（太仓）检测技术有限公司 | Method for evaluating service life of polyolefin cable insulating material for nuclear power station |
| CN111398722A (en) * | 2020-04-14 | 2020-07-10 | 西安交通大学 | Equipment for on-site measurement of transmission characteristics of power cable |
| CN112710820A (en) * | 2020-12-17 | 2021-04-27 | 国网上海市电力公司 | Rubber cable joint aging state evaluation method based on static contact angle |
| CN112710820B (en) * | 2020-12-17 | 2023-07-07 | 国网上海市电力公司 | Static contact angle-based rubber cable joint aging state evaluation method |
| CN112763541A (en) * | 2020-12-23 | 2021-05-07 | 上海交通大学 | Thermal life evaluation method of cable insulation material |
| CN112763541B (en) * | 2020-12-23 | 2022-06-14 | 上海交通大学 | Thermal life evaluation method of cable insulation material |
| CN112765776A (en) * | 2020-12-28 | 2021-05-07 | 西安交通大学 | Crosslinked polyethylene cable insulation aging state assessment method and system |
| CN112765776B (en) * | 2020-12-28 | 2022-10-25 | 西安交通大学 | Crosslinked polyethylene cable insulation aging state assessment method and system |
| CN113281580A (en) * | 2021-04-12 | 2021-08-20 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Method for representing degradation characteristic of high-frequency substrate in thermal-oxidative aging process |
| CN112949099A (en) * | 2021-04-28 | 2021-06-11 | 哈尔滨理工大学 | Mathematical model for prediction of electric-heat combined aging life of crosslinked polyethylene cable |
| CN113588452A (en) * | 2021-07-30 | 2021-11-02 | 国网青海省电力公司信息通信公司 | Cable life prediction method and device, processor and storage medium |
| CN113588452B (en) * | 2021-07-30 | 2023-10-27 | 国网青海省电力公司信息通信公司 | Cable life prediction method and device, processor and storage medium |
| CN114354433A (en) * | 2021-12-04 | 2022-04-15 | 深圳供电局有限公司 | Rapid screening method of coating silicone grease for cable accessories |
| CN117274225A (en) * | 2023-10-19 | 2023-12-22 | 广东力生电器有限公司 | Intelligent control system and method for power distribution cabinet |
| CN117274225B (en) * | 2023-10-19 | 2024-04-16 | 广东力生电器有限公司 | Intelligent control system and method for power distribution cabinet |
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