Abstract
Being instrumental in electric energy data collection for energy data collection and supervisory systems, the reliability of an electric energy collector not only affects the reliability of the system, but also directly influences users' satisfaction. With the objective of addressing the problem of reliability assessment of an electric energy data collector, the failure mechanism of the data collector was first identified, followed by a cyclical acceleration method, which includes a sub test known as step stress test. Based on the exponential distribution of the fault time of the electrical energy collector, the Gamma distribution was assumed as the prior distribution and a multilevel Bayesian no-failure data statistical analysis method was used to calculate the average life span of the collector using the experimental data. Further, we adopted the Arrhenius equation under temperature stress and the activation energy value of electronic products to calculate the reliable life expectancy of the electrical energy collector under the normal operating temperatures. Additionally, this method is suitable for other electric energy data collectors as the main structure and working principle are similar.
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