CN107590314A - A kind of cable life data assessment method based on matlab - Google Patents
A kind of cable life data assessment method based on matlab Download PDFInfo
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- CN107590314A CN107590314A CN201710694568.1A CN201710694568A CN107590314A CN 107590314 A CN107590314 A CN 107590314A CN 201710694568 A CN201710694568 A CN 201710694568A CN 107590314 A CN107590314 A CN 107590314A
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Abstract
The invention discloses a kind of cable life data assessment method based on matlab, including：Arrhenius curve is converted into x, y linear function inputs three groups of data and is fitted, and three groups are generated according to fitting result（x,y）, by three groups（x,y）Fitting, obtains fitting a straight line, thermal life and temperature value is obtained according to fitting a straight line, export correct thermal life and temperature value, and draw thermal life and temperature relation drawing.The present invention has compared with manual calculations and calculates the advantages of data are accurate；In addition compared with manual calculations, calculating process is rapid, saves the substantial amounts of time, substantially increases the operating efficiency of experimenter.
Description
Technical field
The present invention relates to technical field of electric wires and cables, it particularly relates to a kind of cable life data based on matlab
Appraisal procedure.
Background technology
In order to obtain the thermal life of the insulating material of cable, it is necessary to carry out degradation, handled using mathematical method
Test data, so as to obtain the life-span numerical value of respective material.
On laboratory data is assessed, the past is all manual calculation, and often error, the lifetime data estimated often are forbidden
Really；On the other hand, manually compute, often round up, this can be affected greatly to result.
, can be by processing of the programming realization to data and matlab has powerful data processing function, and calculate knot
Fruit is accurate, therefore, needs a kind of method that data processing function powerful using matlab carries out electric wire life appraisal badly.
The content of the invention
For the above-mentioned technical problem in correlation technique, the present invention proposes that a kind of cable life data based on matlab are commented
Estimate method, the above-mentioned deficiency of prior art can be overcome.
To realize above-mentioned technical purpose, the technical proposal of the invention is realized in this way：
A kind of cable life data assessment method based on matlab, comprises the following steps：
S1：Based on matlab softwares, the function of setting cable aging meets Arrhenius τ=AeB/θ, wherein A and B
It is the constant relevant with insulating materials and experiment, θ is absolute temperature, and τ is the life-span h of insulating materials, by Arrhenius curve pair
Numberization, logarithmic function ln τ=ln A+B/ θ are obtained, logarithmic function is linearized to obtain：
Y=ax+b
Wherein：Y=ln τ, x=1/ θ, a=B, b=InA；
S2：Test period hourage, the retention rate of elongation at break at a temperature of input T1；Test period at a temperature of T2
The retention rate of hourage, elongation at break；Test period hourage, the retention rate of elongation at break at a temperature of T3；
S3：Three groups of data of input are fitted；
S4：According to the result of fitting, the retention rate of insulated cable or sheath elongation at break at a temperature of T1, T2 and T3 is obtained
For 50% when life time, generate three groups of x, y values；
S5：By three groups of x of generation, y values, linear fit is carried out；
S6：According to the straight line fitted, at a temperature of predicting T, thermal life and insulated cable corresponding to insulated cable or sheath
Or temperature value corresponding to 25 year life-span of sheath；
S7：Judge whether the life value and temperature value are qualified, and the result is given up if unqualified, is exported if qualified
Result of the test；
S8：Insulated cable or sheath thermal life are drawn according to the qualified experimental result of life value under different temperatures and temperature value
Resistance to thermal map.
Further, in step S2, T1 temperature is 145 DEG C.
Further, in step S2, T2 temperature is 165 DEG C.
Further, in step S2, T3 temperature is 185 DEG C.
Further, in step S3, the method for fitting is fitting of a polynomial.
Further, in step S5, linear fit is fitted using least square method.
Beneficial effects of the present invention：The present invention has compared with manual calculations and calculates the advantages of data are accurate；In addition and hand
Dynamic calculating is compared, and calculating process is rapid, saves the substantial amounts of time, substantially increases the operating efficiency of experimenter.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to institute in embodiment
The accompanying drawing needed to use is briefly described, it should be apparent that, drawings in the following description are only some implementations of the present invention
Example, for those of ordinary skill in the art, on the premise of not paying creative work, can also be obtained according to these accompanying drawings
Obtain other accompanying drawings.
Fig. 1 is a kind of flow of cable life data assessment method based on matlab described according to embodiments of the present invention
Figure.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, the every other embodiment that those of ordinary skill in the art are obtained, belong to what the present invention protected
Scope.
As shown in figure 1, a kind of cable life data assessment method based on matlab described according to embodiments of the present invention,
Comprise the following steps：
S1：Based on matlab softwares, the function of setting cable aging meets Arrhenius τ=AeB/θ, wherein A and B
It is the constant relevant with insulating materials and experiment, θ is absolute temperature, and τ is the life-span h of insulating materials, by Arrhenius curve pair
Numberization, logarithmic function ln τ=ln A+B/ θ are obtained, logarithmic function is linearized to obtain：
Y=ax+b
Wherein：Y=ln τ, x=1/ θ, a=B, b=InA；
S2：Test period hourage, the retention rate of elongation at break at a temperature of input T1；Test period at a temperature of T2
The retention rate of hourage, elongation at break；Test period hourage, the retention rate of elongation at break at a temperature of T3；
S3：Three groups of data of input are fitted；
S4：According to the result of fitting, the retention rate of insulated cable or sheath elongation at break at a temperature of T1, T2 and T3 is obtained
For 50% when life time, generate three groups (x, y)；
S5：By three groups of (x, y) values of generation, linear fit is carried out；
S6：According to the straight line fitted, at a temperature of predicting T, thermal life and insulated cable corresponding to insulated cable or sheath
Or temperature value corresponding to 25 year life-span of sheath；
S7：Judge whether the life value and temperature value are qualified, and the result is given up if unqualified, is exported if qualified
Result of the test；
S8：Insulated cable or sheath thermal life are drawn according to the qualified experimental result of life value under different temperatures and temperature value
Resistance to thermal map.
In one embodiment, in step S2, T1 temperature is 145 DEG C.
In one embodiment, in step S2, T2 temperature is 165 DEG C.
In one embodiment, in step S2, T3 temperature is 185 DEG C.
In one embodiment, in step S3, the method for fitting is fitting of a polynomial.
In one embodiment, in step S5, linear fit is fitted using least square method.
In order to facilitate understand the present invention above-mentioned technical proposal, below by way of in specifically used mode to the present invention it is above-mentioned
Technical scheme is described in detail.
When specifically used, according to a kind of cable life data assessment method based on matlab of the present invention, bag
Include following steps：Change to obtain temperature and the functional relation in life-span first with logarithm, be translated into linear function and obtain x, y
Functional relation, the experimental period and the retention rate of elongation at break then inputted under three groups of different temperatures, to the number of input
According to carry out fitting of a polynomial, according to fitting result obtain elongation at break at a temperature of three kinds retention rate be 50% when life-span,
Three groups (x, y) is generated, three groups (x, y) of generation is fitted using least square method to obtain fitting a straight line, it is straight according to fitting
Line can obtain the life-span at a certain temperature, or temperature corresponding to 25 year life-span, can be painted using different temperature and life-span
Heat the resistance to thermal map in life-span.
In summary, the present invention has compared with manual calculations and calculates the advantages of data are accurate；In addition with manual calculations phase
Than calculating process is rapid, saves the substantial amounts of time, substantially increases the operating efficiency of experimenter.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
God any modification, equivalent substitution and improvements made etc., should be included in the scope of the protection with principle.
Claims (6)
- A kind of 1. cable life data assessment method based on matlab, it is characterised in that comprise the following steps：S1：Based on matlab softwares, the function of setting cable aging meets Arrhenius τ=AeB/θ, wherein A and B be with absolutely The edge material constant relevant with experiment, θ are absolute temperature, and τ is the life-span h of insulating materials, and Arrhenius curve logarithmetics obtains Logarithmic function, logarithmic function is linearized to obtain：Wherein：S2：Test period hourage, the retention rate of elongation at break at a temperature of input T1；Test period hour at a temperature of T2 Number, the retention rate of elongation at break；Test period hourage, the retention rate of elongation at break at a temperature of T3；S3：Three groups of data of input are fitted；S4：According to the result of fitting, the retention rate of insulated cable or sheath elongation at break is at a temperature of obtaining T1, T2 and T3 Life time when 50%, generate three groups of x, y values;S5：By three groups of x of generation, y values, linear fit is carried out；S6：According to the straight line fitted, at a temperature of predicting T, thermal life and insulated cable or shield corresponding to insulated cable or sheath Cover temperature value corresponding to 25 year life-span；S7：Judge whether the life value and temperature value are qualified, and the result is given up if unqualified, the output test if qualified As a result；S8：The resistance to of insulated cable or sheath thermal life is drawn according to the qualified experimental result of life value under different temperatures and temperature value Thermal map.
- A kind of 2. cable life data assessment method based on matlab according to claim 1, it is characterised in that step In S2, T1 temperature is 145 DEG C.
- A kind of 3. cable life data assessment method based on matlab according to claim 2, it is characterised in that step In S2, T2 temperature is 165 DEG C.
- A kind of 4. cable life data assessment method based on matlab according to claim 3, it is characterised in that step In S2, T3 temperature is 185 DEG C.
- A kind of 5. cable life data assessment method based on matlab according to claim 1, it is characterised in that step In S3, the method for fitting is fitting of a polynomial.
- A kind of 6. cable life data assessment method based on matlab according to claim 1, it is characterised in that step In S5, linear fit is fitted using least square method.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108287174A (en) * | 2018-01-25 | 2018-07-17 | 西华大学 | Bus duct life-span prediction method based on the loss of alternating temperature lower thermal life |
| CN110487844A (en) * | 2019-06-12 | 2019-11-22 | 广东电网有限责任公司 | A kind of appraisal procedure of power cable insulation layer temperature and failure of insulation |
| CN112257237A (en) * | 2020-10-10 | 2021-01-22 | 重庆大学 | A method for predicting the service life of thermal aging cables |
| CN112446136A (en) * | 2020-10-29 | 2021-03-05 | 西安理工大学 | Cable life prediction method based on micro-element physical model |
| CN112630254A (en) * | 2020-12-11 | 2021-04-09 | 江苏华彤建设工程有限公司 | Bus duct service life prediction method based on thermal service life loss at variable temperature |
| CN112733328A (en) * | 2020-12-22 | 2021-04-30 | 上海电机学院 | Cable life evaluation method based on polynomial fitting and grey prediction |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108287174A (en) * | 2018-01-25 | 2018-07-17 | 西华大学 | Bus duct life-span prediction method based on the loss of alternating temperature lower thermal life |
| CN110487844A (en) * | 2019-06-12 | 2019-11-22 | 广东电网有限责任公司 | A kind of appraisal procedure of power cable insulation layer temperature and failure of insulation |
| CN110487844B (en) * | 2019-06-12 | 2020-09-25 | 广东电网有限责任公司 | Method for evaluating temperature and insulation failure of power cable insulation layer |
| CN112257237A (en) * | 2020-10-10 | 2021-01-22 | 重庆大学 | A method for predicting the service life of thermal aging cables |
| CN112446136A (en) * | 2020-10-29 | 2021-03-05 | 西安理工大学 | Cable life prediction method based on micro-element physical model |
| CN112446136B (en) * | 2020-10-29 | 2024-03-15 | 西安理工大学 | Cable life prediction method based on micro-element physical model |
| CN112630254A (en) * | 2020-12-11 | 2021-04-09 | 江苏华彤建设工程有限公司 | Bus duct service life prediction method based on thermal service life loss at variable temperature |
| CN112630254B (en) * | 2020-12-11 | 2022-03-08 | 江苏华彤建设工程有限公司 | Bus duct service life prediction method based on thermal service life loss at variable temperature |
| CN112733328A (en) * | 2020-12-22 | 2021-04-30 | 上海电机学院 | Cable life evaluation method based on polynomial fitting and grey prediction |
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