기기 진단 모니터링을 위한 PCA 알고리즘 시각화 기법

Abstract

Principal Component Analysis (PCA) is a widely used algorithm for high dimension data analysis. In a machine health monitoring system, a result of dimension reduction using PCA is often visualized. Other information is not presented because it is difficult to understand and interpret to users. However, it also contains important information for data analysis. In order to assist the user in better understanding and interpreting PCA, we have developed a system that visualizes the results of PCA using javascript library, D3. This system can intuitively visualize key information of PCA result. In future, it is expected that it can be applied for web-based real time monitoring system.