By Topic

Data Fusion Method of Multi-dimension Oil Monitoring Based on Principal Components Analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Zhang Shixin ; Dept. of Technol. Support Eng., Acad. of Armored Force Eng., Beijing, China ; Liu Xinguang ; Chen Chunliang ; Ling Zhang
more authors

This paper realizes the fusion of multi-dimension oil monitoring data by the way of principal components analysis, gets the trend curve representing the degree of wear about the equipments, keep the wear information contained in the monitoring sample to a maximum limit, which is very important to the forecast and support of equipment technology condition.

Published in:

Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on

Date of Conference:

23-25 Aug. 2012