Multidimensional Condition Monitoring (MCM) based on Singular Value Decomposition (SVD) Case study: A railway system♦

Abstract

Multidimensional monitoring of symptoms as applied to railway systems allows detecting and identifying both the curved and straight lots that prejudice the security and comfort of passengers. Additionally, it helps to assess the way-vehicle interface’s technical conditions, as well as to monitor, evaluate and control the system’s reliability and availability.

This  study  offers  an  alternative  way  to  assess  the  railway  systems’ technical condition from a dynamic approach guaranteeing the security and comfort of passengers.

The aims of this model are to reduce maintenance operational costs; to enhance the effective employment of equipment used for these tasks on railways, vehicles and auxiliary equipment; to optimize the maintenance staff’s time, and the maintenance timing (corrective, preventive, etc.). Also, we aim at identifying variables related to maintenance actions highly influential on the system’s technical condition.

In this paper, results obtained from applying a modeling of this type to a railway system are released, and it focuses in the application of the SVD theory to the system’s technical diagnosis.