摘要
介绍了一种加速器故障诊断系统的原理及实验结果。系统采集加速器运行时的噪声信号,运用快速傅立叶变换做频谱分析,通过人工神经网络进行故障诊断。给出了该系统实验的数据分析结果。
The principle of a fault diagnosis system for accelerators is introduced in this paper. The system picks up noise signals from accelerators, and uses neural network to diagnose whether the accelerators have problems during its operation or not. The analysis results of the noise signals from a linear standing wave accelerator are given using the system presented here.
出处
《核技术》
CAS
CSCD
北大核心
2003年第4期257-260,共4页
Nuclear Techniques
