嵌入式LVQ技术在通信电源故障诊断中的应用

为了能够快速诊断出通信电源故障产生的原因,文章把LVQ神经网络模型和分类诊断理论运用到了通信电源的故障诊断中。文中以多个故障模式为实例,通过运用Matlab仿真技术,验证了此方法的故障诊断的准确性,结果表明基于LVQ神经网络模型的故障分类诊断方法能够为通信电源维护人员和开发人员提供准确的信息,提高了电源系统的鲁棒性和稳定性。

Embedded LVQ Technology Used in the Communication Power Failure Diagnosis

To be able to diagnose the causes of communications power failure quickly, the LVQ neural network model and classification of diagnosis theory are used into the fault diagnosis of communication power supply. With multiple failure modes as examples, through the use of Matlab simulation technology to verify the diagnostic accuracy, the results show that the fault classification diagnosis method witch based on LVQ neural network model can provide accurate informations for communication power supply maintainers and developers, and can increase the rubustness and stability of power supply system.