Application of maximum entropy probability density estimation approach to constituting oil monitoring diagnostic criterions

被引：13

作者：

Huo, H ^{[1
]}

Li, ZG ^{[1
]}

Xia, YC ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200030, Peoples R China

来源：

TRIBOLOGY INTERNATIONAL | 2006年 / 39卷 / 06期

关键词：

maximum entropy; diagnostic criterion; oil monitoring; wear condition;

D O I：

10.1016/j.triboint.2005.01.043

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

New diagnostic criterions based on maximum entropy principle for assessing wear condition are presented. By the new measure of critical boundary points defined in this paper, the precision of assessing wear condition can be promoted. Applying maximum entropy principle to get the most unbiased probability distribution of monitoring data can improve the accuracy of estimating probability distribution and no assumption of prior distribution is needed. These criterions are applied in our monitoring projects and their performances, especially in Spectrometric analysis and Direct Reading Ferrographic analysis field, are very good. According to the discussion of two examples, the method of constituting criterions based on maximum entropy probability density estimation approach is expatiated and the practicality is validated. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：528 / 532

页数：5

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