Title :
Data Fusion Method of Multi-dimension Oil Monitoring Based on Principal Components Analysis
Author :
Shixin, Zhang ; Xinguang, Liu ; Chunliang, Chen ; Zhang, Ling ; Dong, Yucai
Author_Institution :
Dept. of Technol. Support Eng., Acad. of Armored Force Eng., Beijing, China
Abstract :
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.
Keywords :
oil technology; principal component analysis; sensor fusion; curve representation; data fusion method; equipment technology; multi dimension oil monitoring; principal components analysis; Covariance matrix; Eigenvalues and eigenfunctions; Iron; Market research; Monitoring; Principal component analysis; equipment technology condition; multi-dimension oil monitoring; principal components analysis;
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
DOI :
10.1109/ICICEE.2012.122
