Control and monitoring for railway vehicle dynamics

Bruni, Stefano; Goodall, Roger M.; Mei, T. X.; Tsunashima, Hitoshi

doi:10.1080/00423110701426690

Cited by 216 publications

(163 citation statements)

References 61 publications

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“…Condition monitoring of railway tracks, vehicles are essential in ensuring the safety of railways [1,2]. Rail Vehicle and Rail Track Monitoring System is one of developed solutions.…”

Section: Introductionmentioning

confidence: 99%

Analysis of selected vibroacoustic signals recorded on EMU vehicle running on chosen routes under supervised operating conditions

Kostrzewski¹

2017

Vib. proced.

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Abstract. The subject matter of the paper is an analysis of the results of acceleration signals measurement obtained from the prototype of Rail Vehicle and Rail Track Monitoring System. The prototype of the system measures acceleration signals on some elements of electric multiple unit, such as bogie frames, wheels and railway vehicles body. The results of measurement were converted to values of statistical parameters, e.g.: an amplitude, a root mean square, a kurtosis coefficient, an interquartile range. The values of diagnostic parameters, when compared with the permissible values, allow to monitor the typical dynamic behaviors of rail vehicle and track condition and to determine a condition of a rail vehicle construction. The main purpose of the analysis described hereby was to determine the usefulness of various diagnostic parameters and to identify the direction of further research connected to condition monitoring and diagnosing of rail vehicles and track.

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“…Condition monitoring of railway tracks, vehicles are essential in ensuring the safety of railways [1,2]. Rail Vehicle and Rail Track Monitoring System is one of developed solutions.…”

Section: Introductionmentioning

confidence: 99%

Analysis of selected vibroacoustic signals recorded on EMU vehicle running on chosen routes under supervised operating conditions

Kostrzewski¹

2017

Vib. proced.

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“…Signal analysis depends more on the statistical analysis of a large number of condition-based monitoring data to determine the fault characteristics and analyze the trend ,and it has some limitations because there are so many sensors are placed on rolling stock. [1,2] Document [3,4] use the Kalman filter to estimate the state value of the vehicle lateral system, in order to get the ideal observations, and the residual value between ideal observational and actual value is used to judge when the system fails. The method can detect the errors in the system, but can do nothing about the obsolescence of the systems.…”

Section: Introductionmentioning

confidence: 99%

Research on vehicle diagnosis based on state-space method

Xue¹,

Chai²,

Zheng³

2015

AIR

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In this paper, the vehicle faults are estimated and diagnosed by introducing wavelet transform, based on the state-space method. It monitors the state of railway vehicle suspension system, establishes a vertical dynamic state-space model of railway-vehicle system to identify the parameters of vehicle suspension system. The simulation results show that, in the circumstances of the change of the parameters which is resulted from the gradual fault or the composite fault of the suspension system, the simulation results can effectively identify the basic characteristics of its parameters, realize vehicle fault diagnosis, so as to achieve the purpose of monitoring the state of suspension system, and provide a method for rail vehicle online condition monitoring.

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“…Active (or semi-active) suspension is known to be effective for reducing this type of car body vibration, and research and tests have already been carried out in this field [2,3]. The authors of this paper developed a secondary suspension vibration control system with variable vertical hydraulic dampers.…”

Section: Introductionmentioning

confidence: 99%

Development of a vertical semi-active suspension system using variable hydraulic dampers

Sugahara¹,

Kojima²,

Akami³

et al. 2016

WIT Transactions on the Built Environment

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Plans are being made in Japan to launch luxury cruise trains for sightseeing tours. These trains are expected to use both main and secondary railway lines on the network. Secondary lines in particular can sometimes be subject to significant irregularities because maintenance criteria are lower than for mainlines. As a result, rigid-body-mode vibrations, and in particular those in the 1-2 Hz frequency range, tend to increase, which may result in reduced ride comfort. As such, a secondary suspension damping control system using variable vertical hydraulic dampers was developed to mitigate this type of vibration. The system consists of four dampers, a controller, and four accelerometers. Variable vertical dampers are mounted parallel to the secondary air springs. The damping force can be controlled by the command current. The control algorithm which controls the variable dampers is based on the sky-hook control theory. The controller is also equipped with an algorithm which is geared to monitor the state of the damper, which does not require the use of sensors in the system. The algorithm examines the phase difference between the bounce and pitch vibration modes of the car body with the accelerometers used to control the dampers. When a fault is detected, a fail-safe function is activated, stopping damper controlling automatically. Vehicle running tests using an actual vehicle equipped with the control system were carried out. In the tests, the system reduced the peak in the power spectrum density for vertical vibration acceleration due to the rigid-body-mode vibration of the car body by almost 40 per cent compared to when the system was not used.

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Control and monitoring for railway vehicle dynamics

Cited by 216 publications

References 61 publications

Analysis of selected vibroacoustic signals recorded on EMU vehicle running on chosen routes under supervised operating conditions

Analysis of selected vibroacoustic signals recorded on EMU vehicle running on chosen routes under supervised operating conditions

Research on vehicle diagnosis based on state-space method

Development of a vertical semi-active suspension system using variable hydraulic dampers

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