北京建筑工程学院学报2012，Vol.28Issue(4)：42-47,6.
基于RBF与BP神经网络的建筑电气系统故障诊断比较研究
Comparative Study on Fault Diagnosis of Building Electrical System Based on RBF and BP Neural Network
吴茜 1王亚慧1
作者信息
- 1. 北京建筑工程学院电气与信息工程学院,北京100044
- 折叠
摘要
Abstract
Building electrical system fault diagnosis is the blank in the fault diagnosis field at home and abroad. The main reason is that the building electrical systems have many complex and huge subsystems; meanwhile, it is very hard to establish the mathematical model of system. By using the neural networks which is not depending on the model and using its advantage of convergence speed, the difficulties of building electrical system fault diagnosis can be well solved. The basic research of neural network on building electric field is very little. But the two basic methods on building electrical fault diagnosis are proposed in the paper. By comparing these two methods, the experimental results show that both of them could complete the diagnosis, but the RBF network on building electrical fault diagnosis application is superior to BP network and it will play an important role and have broad application prospects.关键词
故障诊断/建筑电气系统/神经网络Key words
fault diagnosis/building electrical system/RBF neural network分类
信息技术与安全科学引用本文复制引用
吴茜,王亚慧..基于RBF与BP神经网络的建筑电气系统故障诊断比较研究[J].北京建筑工程学院学报,2012,28(4):42-47,6.
