基于复合神经网络的柴油机故障诊断专家系统  

DIESEL ENGINE FAULT DIAGNOSIS EXPERT SYSTEM BASED ON COMPOSITE NEURAL NETWORK

作　　者：武明亮[1] 刘璐[1] 何俊强[1] 

机构地区：[1]重庆通信学院控制工程重点实验室,重庆400035

出　　处：《南阳理工学院学报》2010年第2期16-20,共5页Journal of Nanyang Institute of Technology

摘　　要：针对ART神经网络和BP神经网络在故障诊断领域应用的优点及不足,结合专家系统擅长推理的优点,将ART2和并行BP神经网络组合优化策略运用在专家系统中,用Visual C++6.0语言作为软件开发环境,构造一个基于复合神经网络的专家系统。最后给出一个应用实例,验证了系统模型的合理性。Because of the advantages and the disadvantages of ART and BP neural network applied in the field of fault diagnosis applications, combined with the advantages of good reasoning of expert system, ART2 and the parallel BP neural network are combinatorial optimized to be used＇in expert system. Taking Visual C ＋ ＋ 6.0 language as a software development environment, the expert system based on composite neural network is constructed. Finally, an application example is provided to verify that the system model is reasonable.

关 键 词：复合神经网络 柴油机 故障诊断 专家系统 

分 类 号：TK05[动力工程及工程热物理]