扩展故障树的非线性链表化故障诊断研究

Research on the Nonlinear Linked List Fault Diagnosis of Extended Fault Tree

为更好地描述故障树中所蕴含的故障诊断知识,采用了一种基于扩展故障树节点的非线性链表的表示方式,以全面描述故障树过程性诊断方法。通过对故障树数学模型和推理机制的分析,优化了过程推理机制,使整个系统具备一定的自学习和自适应能力。该方法很好地解决了故障树模型的计算机描述和存储问题,为专家系统的知识获取和故障搜寻开辟了新途径。

In order to better describe the fault diagnosis knowledge containing in fault tree, the nonlinear linked list representation based on extended fault tree node is adopted, to comprehensively expound the procedural diagnosis method of fault tree. Through analyzing the mathematical model of fault tree and inference mechanism, the process inference mechanism is optimized to make the whole system featuring certain self-learning and self-adaptive capabilities. This method well solves the computerized description and storage issues of fault trees model, thus the new approach of knowledge acquisition and fault searching for expert system is opened up.