| 基于神经网络的汽油机故障诊断的专家系统 |
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| 引用本文： | 冯雷,应霞芳,何勇.基于神经网络的汽油机故障诊断的专家系统[J].科技通报,2000,16(2):93-96. |
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| 作者姓名： | 冯雷 应霞芳 何勇 |
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| 作者单位： | 浙江大学农业工程学院,浙江,杭州,310029 |
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| 基金项目： | 浙江省科委资助项目(961101048) |
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| 摘 要： | 汽油发动机出现故障的机率较高，一般占整车故障的４０％左右，研究汽油发动机故障诊断专家系统，可以及时准确地对发动机技术状况做出判断，指导调整其技术状态，这无疑增加了汽车使用的可靠性，经济性和安全性。人工神经网络是基于数值计算和知识处理系统。针以地传统专家系统在处理故障诊断中的不足，提出了将人工神经网络技术与专家系统融合的模型，并将此模型应用到汽油机故障诊断中。
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| 关 键 词： | 神经网络 故障诊断 专家系统 汽车 汽油发动机 |
| 文章编号： | 1001-7119(2000)02-0093-04 |
| 修稿时间： | 1999-03-26 |
Fault Diagnosis Expert System of Gasoline Engines Based on Artificial Neural Networks |
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| FENG Lei,YING Xia-fang,HE Yong.Fault Diagnosis Expert System of Gasoline Engines Based on Artificial Neural Networks[J].Bulletin of Science and Technology,2000,16(2):93-96. |
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| Authors: | FENG Lei YING Xia-fang HE Yong |
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| Abstract: | As a very complex system, gasoline engine causes 40% of all the automobile faults. By means of fault diagnosis expert system of gasoline engine, users can analyze and diagnose the faults fast and easily. So it can decrease the blindness of repair, improve the repair quality, shorten the repair time, and cut the repair cost. In the light of the shortcomings of traditional expert system on fault diagnosis, a model for fault diagnosis expert system based on artificial neural network is proposed. This model is applied to diagnosis of gasoline engines. |
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| Keywords: | artificial neural network fault diagnosis expert system gasoline engine |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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