基于深度学习的发电机整流器诊断系统研究

Research and Realization of Generator Rectifier Fault Diagnosis System Based on Deep Learning Theory

基于深度置信网络技术,使用C++编程语言设计了发电机旋转整流器故障诊断平台,实现了对故障信号特征的提取与分类。选择三级式发电机进行了实验验证,结果表明,该设计具有良好的故障诊断效果。

Based on the deep belief networks technology,a fault diagnosis platform for generator rectifier was designed by using C + + language,realizing feature extraction and classification of fault signals. The experiment was verified with a three-stage generator. The actual results show that the design has a good fault diagnosis effect.