Accelerated degradation test prediction method based on fuzzy theory
A technology of accelerated degradation test and fuzzy theory, applied in the field of life prediction, can solve the problems of ambiguity of performance failure criterion and inability to describe engineering practice well
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[0128] The method of the invention adopts a Monte Carlo simulation method to verify its correctness.
[0129] Assuming that there are 25 products divided into 5 groups, CSADT with 5 temperature levels is carried out. The test parameters are shown in Table 1.
[0130] Table 1 CSADT test parameters
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[0132]
[0133] During the simulation process, it is assumed that the product performance degradation process obeys the drift Brownian motion, and its drift coefficient d(s) is an Arrennius model. At this time, the stress s is written as the absolute temperature T, then d(T)=exp(A-B / T). Then the Brownian motion of the product's performance degradation drift can be written as:
[0134] Y(t)=σB(t)+exp(A-B / T)·t+y 0
[0135] Among them, suppose A=9000, B=4800, diffusion coefficient σ=0.25, initial value y 0 =124. Then the performance degradation curve of the product obtained by simulation is as follows: image 3 shown. Depend on image 3 It can be seen that the b...
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