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| 特种车辆柴油发动机故障诊断专家系统实现问题 | |
| 引用本文： | 鄂加强,龚金科,王耀南,刘孟祥,成志明.特种车辆柴油发动机故障诊断专家系统实现问题[J].应用基础与工程科学学报,2005,13(4):373-380. |
| 作者姓名： | 鄂加强 龚金科 王耀南 刘孟祥 成志明 |
| 作者单位： | 1. 湖南大学机械与汽车工程学院,湖南,长沙,410082;湖南大学电气与信息工程学院,湖南,长沙,410082 2. 湖南大学机械与汽车工程学院,湖南,长沙,410082 3. 湖南大学电气与信息工程学院,湖南,长沙,410082 |
| 基金项目： | 国家自然科学基金（603750H01）和“985工程”二期--汽车先进设计制造技术科技创新平台资助 |
| 摘 要： | 为了实现特种车辆柴油发动机已发故障或潜在故障的快速高效诊断,根据特种车辆柴油发动机运行过程特征参数知识表示的模糊特性,建立了多库多层次方式的知识库,并采用柴油发动机故障类型诊断的反向推理和故障原因分析及故障消除措施正向推理相结合的混合推理机制设计了总体目标推理和级目标推理相结合的推理机.该系统采用V isual Basic6.0进行编程,在windows2000平台上运行.应用效果表明,特种车辆柴油发动机故障诊断专家系统的预报准确率较高,具有较大的实用性. |
| 关 键 词： | 柴油发动机 故障诊断专家系统 推理机 知识库 |
| 文章编号： | 1005-0930(2005)04-0373-08 |
| 收稿时间： | 05 25 2004 12:00AM |
| 修稿时间： | 07 1 2005 12:00AM |
Design of Fault Diagnosis Expert System for Diesel Engine in the Special Type Vehicle |
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| E Jiaqiang, GONG Jinke, WANG Yaonan, LIU Mengxiang, CHENG Zhiming.Design of Fault Diagnosis Expert System for Diesel Engine in the Special Type Vehicle[J].Journal of Basic Science and Engineering,2005,13(4):373-380. | |
| Authors: | E Jiaqiang GONG Jinke WANG Yaonan LIU Mengxiang CHENG Zhiming |
| Affiliation: | 1. College of mechanical and automotive Engineering, Hunan University, Changsha 410082, China; 2. College of Electrical and Informational Engineering, Hunan University, Changsha 410082, China |
| Abstract: | In order to realize diagnosis of faults or potential faults about diesel engine in the special type vehicle fleetly and high effectively,in allusion to fuzzy characteristic of knowledge representation about characteristic parameters about diesel engine in the special type vehicle in the working case,knowledge base with more bases and more levels was organized,the inference engine that collectivity goal reasoning and grade goal reasoning were coupled were designed based on the hybrid reasoning mechanism about backward reasoning of the fault type diagnosis and forward reasoning of the factors giving rise to fault and eliminating its measures.All programs in the fault diagnosis expert system were developed by Visual Basic6.0 and can be run in windows2000 environment.The results revealed that the forecasting of the fault diagnosis expert system with big practicability was accurate. |
| Keywords: | diesel engine fault diagnosis expert system inference engine knowledge base |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
