The investigation of the technical condition of railway systems

• Autorzy: Żółtowski B.
• 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 that guarantees the safety and comfort of the passengers. One looks for diminishing the operative costs of maintenance, improving the use of equipment for tasks of maintenance for 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 modelling of this type to a railway system, being cantered 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: Łukasiewicz Research Network - Institute of Aviation ; European Science Society of Powertrain and Transport KONES Poland ; Wydawnictwo Instytutu Technicznego Wojsk Lotniczych
• Czasopismo: Journal of KONES
• Rocznik: 2012
• Tom: Vol. 19, No. 2
• Strony: 591--600
• Opis fizyczny: Bibliogr. 12 poz., rys.

Twórcy

autor

Żółtowski B.

• University of Technology and Life Sciences in Bydgoszcz Faculty of Mechanical Engineering Prof. Kaliskiego Av. 7, 85-796 Bydgoszcz, Poland tel.: [phone], fax: [phone],

Bibliografia

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• [3] Cempel, C., Implementing multidimensional inference capability in vibration condition monitoring, Surveillance 5 CETIM, Senlis, 2004.
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• [6] Cempel, C., Multi fault condition monitoring of mechanical system in operation, XVII IMEKO world congress, pp. 1-4, Dubrovnik, Croatia 2003.
• [7] Cempel, C., Signals, symptoms, faults. Condition oriented multi dimensional monitoring of systems in operation, pp. 7-11, Poznan, Poland 2000.
• [8] Cempel, C., Tabaszewski, M., Averaging the symptoms in multidimensional condition monitoring for machines in non-stationary operation, Thirteenth International Congress on Sound and Vibration ICSV13, Vienna, Austria 2006.
• [9] Cempel, C., Tabaszewski, M., Extraction methods of multi-fault information in machine condition monitoring. Key engineering materials, Vol. 245-246, pp. 215-221, Poznan, Poland 2003.
• [10] Natke, H. G., Cempel, C., The symptom observation matrix for monitoring and diagnostics, In: Journal of Sound and Vibration, pp. 597-620, London 2001.
• [11] Wall, M. E., Rechtsteiner, A. R., Luis, M., Singular value decomposition and principal component analysis, In: A practical approach to micro array data analysis. Eds. D.P. Berrar, W. Dubitzky, M. Granzow. Kluwer: Norwel, LANL LA-UR-02-4001, pp 91-109, MA 2003.
• [12] Zoltowski, B., Cempel, C., Engineering of machine diagnosis, ITEE Radom, Poland 2004.