Comparison and Analysis of the Monte Carlo Simulation and GO Method for the Reliability of Equipment System

被引：0
|
作者：
Ren, Xin [1 ,2 ]
机构：
[1] Natl Def Univ, Grad Sch, Beijing 100091, Peoples R China
[2] Naval Med Res Inst, Med Protect Lab, Shanghai 200433, Peoples R China
来源：
Proceedings of the 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE) | 2016年 / 69卷
关键词：
equipment; fault diagnosis; BP neural network; genetic algorithm;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Aiming at the problems of traditional BP neural network in fault diagnosis of equipment, the genetic algorithm is introduced to optimize the network, and the fault diagnosis model of equipment is established. The modeling ideas and considerations are introduced in detail, and the simulation calculation is carried out. The results show that the improved network has a good approximation performance, the training speed and accuracy are greatly improved, and it can be better to carry out fault diagnosis of equipment.
引用
收藏
页码：24 / 27
页数：4
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