Bayesian appraisal method of accelerated degradation test based on drift Brownian motion model
An accelerated degradation test and Brownian drift technology, which is applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve the effects of improving evaluation accuracy, optimizing test design, and avoiding the influence of errors
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[0105] If a product is subjected to a temperature step stress accelerated degradation test, the sample size is 4, the temperature stress level is 4, and the temperatures are 60°C, 80°C, 100°C, 120°C; the test time for each stress level is 250, 150, 100, 100 hours; the product performance testing time interval Δt is 5 hours.
[0106] Step 1. Establish and determine relevant models
[0107] Since the stress applied to the product is temperature, the Arrhenius model is selected as the acceleration model, namely:
[0108] d(T)=exp[A+B / T)] (34)
[0109] where T is the temperature. The degradation model is (1). The Bayesian population distribution and its data form are (3). The reliability model is (4), where the initial value of the performance parameter y 0 is 100, and the parameter failure threshold l is 40.
[0110] Step 2. Determine the initial value of the acceleration model parameters
[0111] From the degradation incremental data ΔY at 60°C, 80°C, 100°C, and 120°C 60...
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