Lineside and On-board Monitoring Techniques for
Infrastructure and Rolling Stock on High-Speed Lines

Entezami, Mani; Weston, Paul; Stewart, Edward; Yeo, Graeme; Wang, Mengru; Saade, Louis; Roberts, Clive; Lewis, Richard; Hayward, Mick; Morley, Simon; Sevinç, Bayram; Kono, T.

doi:10.4203/ijrt.5.4.3

Cited by 6 publications

(5 citation statements)

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“…Average speed The device used for the measurements, developed by BCRRE [28] and displayed in Figure 2 left, consists of an IMU with three accelerometers and three gyroscopes measuring in all cartesian directions (Figure 2 right), a GNSS sensor giving speed and geographic location, and a logging system to store the data. The sampling rate of the GNSS is 1 Hz, and 256 Hz for the IMU (down-sampled from 2048 Hz) [32,33].…”

Section: Section Route Distance [Km]mentioning

confidence: 99%

“…In publications by the same group, the IMU is installed on the bogie in order to observe the evolution and degradation of a track over nine months; explaining the combination of accelerometer and gyroscope signals to measure displacement and the alignment processes for the data [26,27]. Further applications of the IMU are in Entezami et al, referring to the computing of the vertical displacement, data alignment on a transition to a bridge as well as position estimation in tunnels and for ride-quality estimation [28,29].…”

Section: Introductionmentioning

confidence: 99%

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Railway track location estimation using onboard inertial sensors

Gonzalo

Entezami

Roberts

et al. 2021

Vehicle System Dynamics

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In railways, using a track-and ride-quality monitoring system on inservice train has become desirable for coordination and security. Identification of the track-or train-related rough rides via train crew can be estimated to the nearest kilometre. However, if the train is equipped with a monitoring system a better location and track quality evaluation can be provided. These systems commonly use information such as GNSS and/or an odometer to provide location information.This work proposes a practical method for track alignment estimation using real data from an in-cab inertial measurement system and using also a novel method based on crosslevel variations. The speed estimation is done through speed-related harmonics detected on inertial sensors, which depend on speed and track characteristics; and distance correction is provided by comparing crosslevel derived from inertial sensors and a reference track geometry. The effectiveness and accuracy of the method is demonstrated with data collected between London and Ashford.

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Section: Section Route Distance [Km]mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Railway track location estimation using onboard inertial sensors

Gonzalo

Entezami

Roberts

et al. 2021

Vehicle System Dynamics

View full text Add to dashboard Cite

show abstract

“…Especially in certain developing and developed countries, including China, Japan, and Germany, high-speed railways are regarded as the core of transportation development because they provide passengers with a fast and convenient way of travel ( Kang et al., 2018 ; Li et al., 2019 ; Liu et al., 2019a , 2019b ). As the speed of trains, the number of passengers carried, and the volume of goods increase, the health monitoring of the railway system plays an increasingly important role ( Asada et al., 2013 ; Oukhellou et al., 2008 ; Entezami et al., 2016 ). In general, the condition monitoring of the railway system is divided into line-side monitoring ( Li et al., 2021 ; Yüksel et al., 2018 ; Leone et al., 2016 ; Alexakis et al., 2019 ) and on-board monitoring ( Bernal et al., 2018 ; Grudén et al., 2009 ).…”

Section: Introductionmentioning

confidence: 99%

A review of vibration energy harvesting in rail transportation field

Pan

et al. 2022

iScience

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“…If the fault is recognised as a serious fault, then visual inspections for further detailed investigation are required (Entezami, 2013). Condition monitoring systems (CMSs) are applied to detect changes within the condition of a system (Entezami et al, 2017). Diagnosis is devoted to identification of the root cause of the different types of fault occurring in the system.…”

Section: Introductionmentioning

confidence: 99%

Perspectives on condition monitoring techniques of wind turbines

et al. 2018

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The ever-increasing development of wind power plants has raised awareness that an appropriate condition monitoring system is required to achieve high reliability of wind turbines. In order to develop an efficient, accurate and reliable condition monitoring system, the operations of wind turbines need to be fully understood. This article focuses on the online condition monitoring of electrical, mechanical and structural components of a wind turbine to diminish downtime due to maintenance. Failure mechanisms of the most vulnerable parts of wind turbines and their root causes are discussed. State-of-the-art condition monitoring methods of the different parts of wind turbine such as generators, power converters, DC-links, bearings, gearboxes, brake systems and tower structure are reviewed. This article addresses the existing problems in some areas of condition monitoring systems and provides a novel method to overcome these problems. In this article, a comparison between existing condition monitoring techniques is carried out and recommendations on appropriate methods are provided. In the analysis of the technical literature, it is noted that the effect of wind speed variation is not considered for traditional condition monitoring schemes.

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Lineside and On-board Monitoring Techniques for Infrastructure and Rolling Stock on High-Speed Lines

Cited by 6 publications

References 0 publications

Railway track location estimation using onboard inertial sensors

Railway track location estimation using onboard inertial sensors

A review of vibration energy harvesting in rail transportation field

Perspectives on condition monitoring techniques of wind turbines

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