Analysis of selected acceleration signals measurements obtained during supervised service conditions – study of hitherto approach
PBN-AR
Instytucja
Wydział Transportu (Politechnika Warszawska)
Informacje podstawowe
Główny język publikacji
en
Czasopismo
Journal of Vibroengineering (15pkt w roku publikacji)
ISSN
1392-8716
EISSN
Wydawca
DOI
URL
Rok publikacji
2018
Numer zeszytu
4
Strony od-do
1850-1866
Numer tomu
20
Identyfikator DOI
Liczba arkuszy
0.8
Autorzy
(liczba autorów: 1)
Słowa kluczowe
pl
diagnostic parameters
monitoring
rail vehicle
electric multiple unit.
Streszczenia
Język
en
Treść
The subject matter of the paper is an analysis of chosen results of acceleration signals measurements obtained from the prototype of the Rail Vehicle and Rail Track Monitoring System. This prototype of the monitoring system measures acceleration signals on designated elements of the electric multiple unit (EMU). These elements comprise components such as: bogie frames, wheels and bodies of railway vehicles. The analysis was prepared on the basis of rail vehicle journeys on sample sections of the Polish National Railways (PKP Polskie Linie Kolejowe S.A.) network. The products of measurements were converted to values of specific diagnostic parameters (statistical parameters), e.g. an amplitude (zero-peak), a root mean square, a kurtosis coefficient, an interquartile range. Comparing the values of diagnostic parameters with their permissible values allows the monitoring of distinctive dynamic behaviors of rail vehicles and track condition, as well as the temperature of the bearings of rail vehicle wheelsets. It also allows the determining of the condition of rail vehicle structure. The permissible values of certain diagnostics parameters could not be obtained from the literature. Therefore, this paper in part presents a way of obtaining these permissible values. The main intention of the analysis described here is to determine the usability of various diagnostic parameters and to identify the course of further research related to condition monitoring and diagnostics of rail vehicles and tracks.
Inne
System-identifier
WUTf064fa284e374b0b8244d15db4a5a8fb
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