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dc.contributor.author吴文兵
dc.contributor.author黄宜坚
dc.date.accessioned2016-05-17T02:43:40Z
dc.date.available2016-05-17T02:43:40Z
dc.date.issued2011
dc.identifier.citation重型机械,2011,(2):19-22
dc.identifier.issn1001-196X
dc.identifier.otherZXJX201102005
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/105369
dc.description.abstract本文提出了一种使用最小支持向量机检测溢流阀故障信号的方法。通过提取溢流阀振动时的正常信号和故障信号,在此基础上进行了Ar建模,并由建立的模型获取了信号的Ar参数,之后利用这些参数作为最小支持向量机的输入进行故障辨识,取得了令人满意的结果。
dc.description.abstractThe paper presents the method to adopt least squares support vector machine to detect the overflow valve fault signal,and shows AR modeling by taking normal signal and fault signal during overflow valve vibration and obtains AR parameter of the collected signal based on the model and then adopts these parameters as input for least squares support vector machine to implement fault identification and achieves satisfactory result.
dc.description.sponsorship国家自然科学基金(50975098);2008福建省重大专项课题(2008HZ0201)
dc.language.isozh_CN
dc.subject故障检测
dc.subject溢流阀
dc.subjectAR参数
dc.subject最小二乘支持向量机
dc.subjectfault detection
dc.subjectoverflow valve
dc.subjectAR parameter
dc.subjectLeast squares support vector machines
dc.title基于AR参数的液压阀故障信号检测
dc.title.alternativeHydraulic valve fault signal detection based on AR parameter
dc.typeArticle


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