CN103389457B - By determining that melt activation energy detects the method for fuse life - Google Patents

Abstract

The invention discloses by determining that melt activation energy detects the method for fuse life, comprise the accelerated aging test of many group fuses being carried out respectively to different accelerated stress, and draw the melt metal electro-migration life-span at different temperatures according to many group test figures, the method of recycling curve calculates the activation energy of melt, determine the parameter of fuse life assessment models, thus the serviceable life of melt in different condition can be calculated, determine that melt activation energy assesses the life-span of fuse by test method, compared to the employing empirical data of prior art, method of the present invention can mention the accuracy of fuse life assessment.

Description

By determining that melt activation energy detects the method for fuse life

Technical field

The present invention relates to the method for fuse life assessment, referring more particularly to by determining that melt activation energy detects the method for fuse life.

Background technology

In use, the electric current flow through due to self and the impact of external environment, inevitably there is aging degradation in it to fuse, affects serviceable life.There are some researches show, as long as running environment can ensure, the life-span of fuse depends primarily on the state of melt.

The main agine mechaism of melt under power on condition of fuse is exactly metal electro-migration, namely the Ion transfer in metal, can there is cavity in regional area generation mass defect in this migration, or produce quality accumulation and occur hillock or solidify state burr, causes metal defect, resistance increases, cause local overheating, melt temperature raises, and high temperature can accelerate the electromigratory process that metallizes again, defect is increased further, builds up to the fusing of generation melt.

The applicant is disclosed patent documentation " intelligent type test system for service life of fuses ", " fuse life characteristic data test and evaluating system and appraisal procedure " thereof, in " test of man-machine interactive fuse life and evaluating system " and " fuse automatic temperature measurement system ", solve service life experiment system respectively, become the lifetime estimation method of speedup factor, the Railway Project such as the testing data of life-span that automatic analysis is invalid with identification and automatic temperature measurement, but melt activation energy is use experience data always, do not determined by test method, this can have an impact to the accuracy of the life appraisal of fuse.

Summary of the invention

The object of this invention is to provide by determining that melt activation energy detects the method for fuse life, the method can improve the accuracy of fuse life assessment.

For achieving the above object, present invention employs following technical scheme: by determining that melt activation energy detects the method for fuse life, comprising:

(1) add the accelerated aging test that different test currents carries out different accelerated stress respectively to many group fuses, the test current of described many group fuses is all greater than rated current, and is less than minimum conventional fusing current;

(2) Average melt temperature of described fuse at synchronization is often organized in acquisition, and by comprising the reliability prediction algorithm of average rank technique and Weibull distribution parameters estimation, calculate the described average operating time often organizing fuse, the Average melt temperature of the described fuse of each group is not identical;

Fuse life assessment models adopts lnt=lnA+Ea/ (RT), and wherein t is average operating time, and T is Average melt temperature, A is undetermined constant, and R is Boltzmann constant, and Ea is melt activation energy, setting y=lnt, x=1/T, a=Ea/R, b=lnA, then obtain y=ax+b, utilize least square method to carry out curve fitting, calculate a and b

$\begin{array}{cc}a=\frac{N\mathrm{\Σ}xy-\mathrm{\Σ}x\mathrm{\Σ}y}{{\mathrm{N\Σx}}^2-{\left(\mathrm{\Σ}x\right)}^2}& b=\frac{\mathrm{\Σ}y-a\mathrm{\Σ}x}{N}\end{array}$

Draw Ea and A according to a and b, then can carry out the average operating time of fuse group to be measured according to described fuse life assessment models or be called the assessment in life-span.

Due to the utilization of technique scheme, the present invention compared with prior art has following advantages: determine that melt activation energy assesses the life-span of fuse by test method, compared to the employing empirical data of prior art, method of the present invention can mention the accuracy of fuse life assessment.

Embodiment

Come below to set forth the present invention further.

Method of the present invention is means by experiment, determines melt activation energy, and then determines the parameter of metal electro-migration life appraisal model of fuse, thus improves the accuracy of fuse life assessment.

During concrete enforcement, first add to 3 groups of fuses the accelerated aging test that different test currents carries out different accelerated stress respectively, the test current of 3 groups of fuses is all greater than rated current, and is less than minimum conventional fusing current, then obtain and often organize the Average melt temperature of fuse at synchronization, the value of the Average melt temperature of each group of fuse is not identical, as following table, and utilize reliability prediction theoretical, calculate the average operating time often organizing fuse, the computing method of average operating time are see patent publication us " fuse life characteristic data test and evaluating system and appraisal procedure " thereof CN101915887, illustrating in the embodiment part of the instructions of the disclosure document utilizes average rank technique to calculate dependability of experience index, two parameters that fitting a straight line obtains Two-parameter Weibull Distribution model are carried out by graphing method, thus calculate the average operating time (or being called the life-span) of fuse group, the test figure of the Average melt temperature that 3 groups of fuses obtain and average operating time is as shown in the table:

Test temperature/DEG C	T 1	T 2	T 3
				Test termination time/h	τ 1	τ 2	τ 3

Fuse life assessment models adopts lnt=lnA+Ea/ (RT), and wherein t is average operating time, and T is Average melt temperature, A is undetermined constant, and R is Boltzmann constant, and Ea is melt activation energy, setting y=lnt, x=1/T, a=Ea/R, b=lnA, then obtain y=ax+b, utilize least square method to carry out curve fitting, calculate a and b

$\begin{array}{cc}a=\frac{N\mathrm{\Σ}xy-\mathrm{\Σ}x\mathrm{\Σ}y}{{\mathrm{N\Σx}}^2-{\left(\mathrm{\Σ}x\right)}^2}& b=\frac{\mathrm{\Σ}y-a\mathrm{\Σ}x}{N}\end{array}$

Draw Ea and A according to a and b, after determining melt activation energy Ea, then can obtain the average operating time of fuse group to be measured under different service condition according to above-mentioned fuse life assessment models or be called the life-span,

Determine that melt activation energy is to carry out assessing the life-span of fuse by test method, compared to the employing empirical data of prior art, then method of the present invention can mention the accuracy of fuse life assessment.

Claims (1)

1., by determining that melt activation energy detects the method for fuse life, it is characterized in that: comprising:

(1) add the accelerated aging test that different test currents carries out different accelerated stress respectively to many group fuses, the test current of described many group fuses is all greater than rated current, and is less than minimum conventional fusing current;

(2) Average melt temperature of described fuse at synchronization is often organized in acquisition, and by comprising the reliability prediction algorithm of average rank technique and Weibull distribution parameters estimation, calculate the described average operating time often organizing fuse, the Average melt temperature of the described fuse of each group is not identical;

Fuse life assessment models adopts Int=lnA+Ea/ (RT), and wherein t is average operating time, and T is Average melt temperature, A is undetermined constant, and R is Boltzmann constant, and Ea is melt activation energy, setting y=lnt, x=l/T, a=Ea/R, b=lnA, then obtain y=ax+b, utilize least square method to carry out curve fitting, calculate a and b

$\begin{array}{cc}a=\frac{N\mathrm{\Σ}xy-\mathrm{\Σ}x\mathrm{\Σ}y}{{\mathrm{N\Σx}}^2-{\left(\mathrm{\Σ}x\right)}^2}& b=\frac{\mathrm{\Σ}y-a\mathrm{\Σ}x}{N}\end{array}$

Draw Ea and A according to a and b, and carry out the assessment in the life-span of fuse group to be measured according to described fuse life assessment models and Ea and the A that obtains.