Multidimensional Monitoring Of Condition – Mmc - Based On The Single Value Decomposition – Svd - Case Study: Railway System

• Autorzy: Żółtowski B. , Castaneda Heredia L. , Betancur Giraldo G.
• Języki publikacji: EN

Abstrakty

EN

The multidimensional monitoring of symptoms applied to railway systems allow to detect and locate the sections of the track (straight and curved) that generate the decrement of the safety and comfort of the passengers. It also evaluates the technical state of the rail-vehicle interface. In addition, it allows observing, evaluating, and controlling the reliability and availability of the system. The objective of the study is to propose an alternative to evaluate the condition of the technical state of railway systems from a dynamical point of view which guarantees safety and comfort of the passengers. One looks for diminishing operative costs of maintenance, improving the use of equipment for maintenance tasks of the track, vehicle and auxiliary equipment, optimizing the time of the maintenance personal, the maintenance frequencies (corrective, preventive, etc.). It also aims to identify the variables related to maintenance actions that have a high influence on the technical state of the system. This paper presents the results obtained when applying a modeling of this type to a railway system, being centered mainly in the application of SVD theory to the technical diagnosis of systems.

Słowa kluczowe

EN

Multidimensional Monitoring of Condition (MMC); singular value decomposition (SVD); railway technical diagnosis

• Wydawca: Faculty of Ocean Engineering and Ship Technology, Gdańsk University of Technology
• Czasopismo: Journal of Polish CIMAC
• Rocznik: 2009
• Tom: Vol. 4, no 1
• Strony: 177--187
• Opis fizyczny: Bibliogr. 13 poz., rys.

Twórcy

autor

Żółtowski B.

autor

Castaneda Heredia L.

autor

Betancur Giraldo G.

• Bogdan .o.towski WIM, UTP, Leonel F. Castaneda Heredia EAFIT University German R. Betancur Giraldo EAFIT University,

Bibliografia

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