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针对目前危险性分级方法的不足,提出了基于故障树分析(fault tree analysis,FTA)与最小支持向量机(least square support vector machine,LS-SVM)的航空部件危险性定量分级方法。首先通过布尔代数法对FTA进行逻辑描述,采用概率重要度表示部件失效的后果严重程度,在此基础上通过LS-SVM对航空部件的危险性进行分级。实例证明,该方法能够准确地反映航空部件对飞行安全的影响。
Aiming at the shortages of current risk classification methods, a risk quantitative classification method for aviation components based on fault tree analysis (FTA) and least square support vector machine (LS-SVM) is proposed. Firstly, the logic of FTA is described by Boolean algebra. The degree of importance is used to indicate the consequence severity of component failure. On this basis, the risk of aviation components is classified by LS-SVM. The examples show that this method can accurately reflect the impact of aviation components on flight safety.