摘要
根据汽油发动机的组成结构、功能原理及维修专家的实际经验 ,利用人工神经网络模型和模糊技术 ,应用面向对象的程序设计方法 ,以Visual Basic5 .0语言开发出了汽油发动机故障诊断专家系统软件。该系统具有模拟专家思维和分析判断故障部位的能力 ,并借助于神经网络进行自学习、扩充知识库。
Based on the structure and fundamentals of gasoline engine and practical experience of the maintenance experts, using artificial neural network model and fuzzy logic, and the design method of object orientation, the fault diagnosis Expert System for gasoline engine we developed by using visual-basic 5.0 Computer. The system has the functions of simulating the thought of expert and judging where the fault positions are. With the help of neural network, the system can undertake self-learning to expand knowledge base. So it has relatively a high level of intelligence。.
出处
《上海交通大学学报（农业科学版）》
2001年第2期105-111,共7页
Journal of Shanghai Jiaotong University(Agricultural Science)
基金
浙江省科委资助项目 (96110 10 48)
关键词
模糊神经网络
汽油发动机
故障诊断
专家系统
artificial neural network
fuzzy logic
gasoline engine
fault diagnosis.
