基于故障树和双向联想记忆神经网络的桥式起重机故障诊断方法

Fault Diagnosis System of Bridge Crane Based on FTA and BAM Neural Networks

针对桥式起重机的故障诊断系统,提出一种基于故障树(FTA)和双向联想记忆神经网络(BAM)相结合的故障诊断方法。通过FTA建立系统故障树,收集桥式起重机所有故障模式,进而归纳出BAM的学习样本,然后对样本学习联想,得到系统诊断结果。两种方法的结合,不但可完成单个故障的诊断,还可实现多种故障的综合处理,提高诊断能力。

The paper introduces a fault diagnosis system of Bridge Crane based on FTA and BAM neural networks. The FTA collects all the failure modes and inductive learning samples of BAM. Then BAM learns samples and gets system fault diagnosis. By combining the two methods, diagnostic capability is improved that it is not only to diagnose a single fault but also to handle multiple failures.