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基于模糊依赖度算法汽车故障诊断仿真研究
Alternative TitleDependence Fuzzy Fault diagnosis Algorithm to Maximize Vehicle
尹韶峰
Department管理支撑部门
Source Publication计算机仿真
ISSN1006-9348
2011
Volume28Issue:9Pages:354-356,368
Indexed ByCSCD
CSCD IDCSCD:4333877
Contribution Rank1
Keyword模糊依赖度 汽车故障诊断 最大化算法 故障检测 粗糙集理论 诊断算法 具体步骤 条件属性 故障原因 故障监测
Abstract研究汽车故障检测和诊断精确度问题,汽车故障检测和诊断技术一直是国内外研究热点问题。针对传统众多故障诊断算法难以精确地描述故障现象和故障原因之间的复杂关系,造成故障诊断难以精确等不足,提出了一种新的基于模糊依赖度最大化故障诊断算法,算法基于模糊粗糙集理论,利用条件属性的依赖度对汽车故障进行评判,采用模糊依赖度来描述汽车故障的发生的几率,同时在此基础上,给出了模糊依赖度最大化模型对汽车故障进行诊断的具体步骤。理论分析和仿真证明了将模糊依赖度最大化算法用于汽车故障诊断方面是可行的和有效的,并能提高故障监测的可靠性。
Other AbstractThe automotive fault detection and diagnostic accuracy problems are studied.Fault detection and diagnosis of automotive technology have been the focus of world problems,and it is difficult for many traditional fault diagnosis algorithms to accurately describe the symptoms and the complex relationship between the cause of the malfunction,resulting in failures such as lack of accurate diagnosis.A new fuzzy fault diagnosis algorithm of maximize dependence is presented.The algorithm,based on fuzzy rough set the...
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/7106
Collection管理支撑部门
Corresponding Author尹韶峰
Affiliation1.中国科学院沈阳自动化研究所信息中心
2.中国科学院研究生院
Recommended Citation
GB/T 7714
尹韶峰. 基于模糊依赖度算法汽车故障诊断仿真研究[J]. 计算机仿真,2011,28(9):354-356,368.
APA 尹韶峰.(2011).基于模糊依赖度算法汽车故障诊断仿真研究.计算机仿真,28(9),354-356,368.
MLA 尹韶峰."基于模糊依赖度算法汽车故障诊断仿真研究".计算机仿真 28.9(2011):354-356,368.
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