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专家系统与神经网络相结合的汽油机故障诊断系统
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摘要:
通过人工神经网络与专家系统的结合,用TurboProlog和TurboC语言在微机上开发了汽油发动机故障诊断系统。其特点是利用人工神经网络浅层模块进行浅层推理,再进入深层专家系统进一步确诊,并以神经网络来完成自学习功能。
关键词:  汽油发动机,专家系统,人工神经网络,故障诊断
DOI:
基金项目:浙江省科委资助项目
A Gasoline Engine Fault Diagnostic System of Combining Expert System With Artificial Neural Network
Abstract:
With Turbo Prolog and Turbo C, the gasoline engine fault diagnostic system isdeveloped based on the comination of expert system (ES) and artifical neural network(ANN), which uses ANN module to diagnose firstly and then ES to obtain the further re-sult. The self-learning function is realized by ANN module.
Key words:  gasoline engine,expert system,artificial neural network,fault diagnosis