Reliability Evaluation of Low-voltage Switchgear Based on Maximum Entropy Principle
Abstract: In this paper, based
on the definition of two-parameter joint entropy and the maximum entropy principle,
a method was proposed to determine the prior distribution by using the maximum
entropy method in the reliability evaluation of low-voltage switchgear. The
maximum entropy method takes kinds of priori information as different constraints.
The optimal prior distribution was selected by maximizing entropy under these
constraints, which not only contains the known prior information but also tries
to avoid the introduction of other assumption information. Based on
non-parametric bootstrap method, the hyper-parameters of prior distribution is
obtained by two-order moment of prior information. Finally, with the bootstrap
method, the prior distribution robustness and the posterior robustness were
analyzed, and the posterior mean time between failures for the low-voltage
switchgear was estimated.
Author: Zhang Zhigang, Wang
Jingqin, Wang Li, Wang Meng
Journal Code: jptkomputergg170131
