TY  - EJOU
AU  - Márquez, Fausto Pedro García 

TI  - A New Method for Maintenance Management Employing Principal Component Analysis
T2  - Structural Durability \& Health Monitoring

PY  - 2010
VL  - 6
IS  - 2
SN  - 1930-2991

AB  - This paper presents a simple graphic method for detecting and classifying faults in point mechanisms based on the study of some statistical parameters of the force and current signals of the point machine. Principal Components Analysis (PCA) employed in order to reduce the number of these parameters. PCA is utilised in this paper for modifying the parameter dataset, and reducing the coordinate system by linear transformation. It is then possible to plot the new coordinate system in 2 or 3 dimensions, where the faults can be detected and identified. In this work most of the faults could be detected, but only a few experiments could be identified. 

KW  - Principal Component Analysis
KW  -  Maintenance Management
KW  -  Railway Transport System
KW  -  Point Mechanisms
KW  -  Tournouts

DO  - 10.3970/sdhm.2010.006.089