Condition monitoring of railway track systems by using acceleration signals on wheelset axle-boxes

Abstract

The aim of this paper is to demonstrate the possibilities of estimating the track condition using axle-boxes and car-bodies motions described by acceleration signals. In the paper, the results presented indicate the condition of tracks obtained from the preliminary investigation on the test track. Furthermore, the results from the supervised runs (on Polish Railway Lines) of Electric Multiple Unit (EMU-ED74) with the prototype of track quality monitoring system installed on-board are described. As Track Quality Indicator (TQI) algorithm, used in the mentioned prototype, a modified Karhunen–Loève transformation is used in preliminary preparation of acceleration signals. The transformation is used to extract the principal dynamics from measurement data. Obtained results are compared to other methods of evaluating the geometrical track quality, namely methods, which apply the synthetic coefficient Jsynth and five parameters of defectiveness W5. The results from the investigation showed that track condition estimation is possible with acceptable accuracy for in-service use and for defining cost-effective maintenance strategies.

Selected Rolling Bearing Fault Diagnostic Methods in Wheel Embedded Permanent Magnet Brushless Direct Current Motors

“…The development of a simple autonomous diagnostic system, in which the assessment of bearing condition, based on vibration and other signal analysis, will constitute an important part, is also planned. These activities can include, among others, experience in condition monitoring of railway tracks systems [35].…”

Exploring Public–Private Partnership Scheme in Operation and Maintenance Stage of Railway Project

“…The MRT and light rail transit (LRT) construction aims to provide an alternative mode of transportation, and in the longer-term, reduce traffic congestion caused by the increased use of private vehicles. The railway also ensures a safer journey for users to reach their destination by providing a dedicated track and route [42,43].…”

Analysis of the Operation Process of Vehicles Equipped with Telematic On-Board Systems

“…This information is sent by modern transmission systems and then analysed with the use, among others, of cloud computing [24], artificial neural networks [8,9], and fuzzy logic. At the earliest, the PHM systems were implemented in air transport, and currently, they are more often used in other transport modes (especially, rail transport [6,17,25]). Figure 1 presents a model of the operation process of vehicles equipped with telematic on-board systems allowing for monitoring.…”

“…przetwarzania w chmurze [24], sztucznych sieci neuronowych [8,9], logiki rozmytej. Systemy PHM najwcześniej zostały wdrożone w transporcie lotniczym, a obecnie znajdują coraz częstsze zastosowania w innych gałęziach transportu (zwłaszcza kolejowego [6,17,25]).…”