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Oil monitoring methods based on information theory

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【Author】 XIA Yan-chun1,HUO Hua2 (1 School of Mechanical & Electronic Engineering,Shanghai Second Polytechnic University,Shanghai 201209,China; 2. School of Mechanical Engineering,Shanghai Jiaotong University,Shanghai 200030,China,)

【机构】 School of Mechanical & Electronic Engineering,Shanghai Second Polytechnic University； School of Mechanical Engineering,Shanghai Jiaotong University；

【摘要】 To evaluate the wear condition of machines accurately,oil spectrographic entropy,mutual information and ICA analysis methods based on information theory are presented. A full-scale diagnosis utilizing all channels of spectrographic analysis can be obtained. By measuring the complexity and correlativity,the characteristics of wear condition of machines can be shown clearly. The diagnostic quality is improved. The analysis processes of these monitoring methods are given through the explanation of examples. The availability of these methods is validated and further research fields are demonstrated.更多还原

【Abstract】 To evaluate the wear condition of machines accurately,oil spectrographic entropy,mutual information and ICA analysis methods based on information theory are presented. A full-scale diagnosis utilizing all channels of spectrographic analysis can be obtained. By measuring the complexity and correlativity,the characteristics of wear condition of machines can be shown clearly. The diagnostic quality is improved. The analysis processes of these monitoring methods are given through the explanation of examples. The availability of these methods is validated and further research fields are demonstrated.更多还原

【关键词】 entropy； mutual information； ICA； oil monitoring； wear；
【Key words】 entropy； mutual information； ICA； oil monitoring； wear；

【文献出处】 Journal of Harbin Institute of Technology ,哈尔滨工业大学学报(英文版) , 编辑部邮箱 ,2009年03期

【分类号】TP274.4
【被引频次】1
【下载频次】59

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