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

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.