贝叶斯网络对故障树方法的改进

Improve Faulty Tree Analysis by Bayesian Networks

通过建立映射,引入作为目前处理概率知识基础上不确定性问题的最有力的推断方法——贝叶斯网络(BN),有效地解决可靠性分析中最常用的故障树分析(FTA)方法的局限性:各部件独立,状态为二值等。

By building the mapping, a robust probabilistic method of reasoning under uncertainty named bayesian networks has been introduced into the area of reliability. Thereby it effectively solved the localizations of Faulty Trees method in reliability analysis such as independence among components, binary states etc..