| 基于支持向量机的汽车故障预测贝叶斯网络推理系统研究 |
| |
| 引用本文： | 赵翠荣.基于支持向量机的汽车故障预测贝叶斯网络推理系统研究[J].巢湖学院学报,2015(3):26-32. |
| |
| 作者姓名： | 赵翠荣 |
| |
| 作者单位： | 安徽文达信息工程学院,安徽 合肥,231201 |
| |
| 基金项目： | 安徽省省级质量工程项目(项目编号2013jyxm276)；安徽文达信息工程学院自然科学研究项目 |
| |
| 摘 要： | 相较于传统的汽车故障诊断，汽车故障预测通过对汽车运行状态数据的分析，实现对汽车未来发生故障的可能性和故障类型进行预测和分析，充分保证汽车行驶的安全。通过对汽车故障类型和特点的深入研究，在已有的故障预测技术的基础上，设计了一种数据驱动的故障预测推理系统。该系统利用支持向量机完成对汽车不同类型故障的分类，结合贝叶斯推理网络，实现对当前汽车状态的综合分析，得出汽车在未来发生不同类型故障的概率，进而完成对汽车故障的预测。最后，编写软件实现汽车故障预测系统。
|
| 关 键 词： | 故障预测 支持向量机 贝叶斯网络 MFC |
RESEARCH ON BAYESIAN NETWORK INFERENCE SYSTEM BASED ON SUPPORT VECTOR MACHINE FOR THE PREDICTION OF VEHICLE FAULTS |
| |
| ZHAO Cui-rong.RESEARCH ON BAYESIAN NETWORK INFERENCE SYSTEM BASED ON SUPPORT VECTOR MACHINE FOR THE PREDICTION OF VEHICLE FAULTS[J].Chaohu College Journal,2015(3):26-32. |
| |
| Authors: | ZHAO Cui-rong |
| |
| Abstract: | Compared with the traditional diagnosis of automobiles, the prediction of automobile faults realizes the analysis of the possibility the types of automobile faults in future based on the analysis of the data of vehicle running conditions, ensuring the safety of automobile driving. Through in-depth research on automobile fault types and characteristics, a system of the data-driv-en fault inference is designed based on the previous technological achievements of the fault prediction. Support vector machine (SVM) is used in this paper to complete the classification of different types of faults of automobiles. With the combination of Bayesian Reasoning Network, a comprehensive analysis of the current state of automobiles and the prediction of the possibility of different faults in future can be completed. Finally, with software programming, the prediction system of automobile faults can be realized. |
| |
| Keywords: | fault prediction support vector machine Bayesian Network MFC |
| 本文献已被 万方数据 等数据库收录！ |
