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, which can solve problems such as the inability to describe engineering practice and the ambiguity of performance failure criteria.
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[0128] The method of the present invention adopts the Monte Carlo simulation method to verify its correctness.
[0129] Suppose there are 25 products equally divided into 5 groups for CSADT at 5 temperature levels. The test parameters are shown in Table 1.
[0130] Table 1 CSADT test parameters
[0131]
[0132]
[0133] In the simulation process, it is assumed that the product performance degradation process obeys the drift Brownian motion, and the drift coefficient d(s) is the Arrennius model. At this time, the stress s is written as the absolute temperature T, then d(T)=exp(A-B / T). Then the performance degradation drift Brownian motion of the product 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 is obtained by simulation as follows: image 3 shown. Depend on image 3 It can be seen that the black s...
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