Title :
An approach to design a prognostic based maintenance strategy for railway power converter unit
Author :
Fusco, Lucio ; Pagano, Mario
Author_Institution :
Collegio Ingegneri Ferroviari Italiani, Naples, Italy
Abstract :
An essential step toward the development of intelligent and efficient technologies applied to complex systems is to provide self-diagnosing capability. For this to happen, sensors, data analysis, fault detection, and health assessment must be interconnected. This paper discusses on a predictive diagnostic strategy that can be used to monitor the aging of railway power converter units.
Keywords :
electric sensing devices; fault diagnosis; maintenance engineering; power convertors; railways; complex systems; data analysis; fault detection; health assessment; predictive diagnostic strategy; prognostic based maintenance; railway power converter unit; self-diagnosing capability; sensors; Decision support systems; aging; conditioned based maintenance; electrolytic capacitor; power converter unit; prognostic; railway vehicle;
Conference_Titel :
Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles (ESARS), 2015 International Conference on
Conference_Location :
Aachen
DOI :
10.1109/ESARS.2015.7101501
