A neural network noise diagnosis system for accelerators
Ke Gong, Tang Chuan-Xiang · Nuclear Techniques · 2003
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.