Oil monitoring methods based on information theory
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
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.
Key words: entropy mutual information ICA oil monitoring wear
DOI：10.11916/j.issn.1005-9113.2009.03.019
Clc Number:TP274.4
Fund:
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Oil monitoring methods based on information theory
本站小编 哈尔滨工业大学/2019-10-23
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