Fault Detection of Vertical Dampers of Railway Vehicle Based on Phase Difference of Vibrations

Kojima, Takashi; Sugahara, Yoshiki

doi:10.2219/rtriqr.54.139

Cited by 7 publications

(6 citation statements)

References 2 publications

(6 reference statements)

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“…Another group of methods rely on signal processing techniques and do not involve mathematical model in the fault detection process. A model-less methods taking into consideration relations between specific motions of a vehicle's bogie (angular and translational) are proposed in [15][16][17]. In [18] Multi-block Partial Least Squares approach is applied to build the statistical model using the historical normal operating data.…”

Section: State Of the Artmentioning

confidence: 99%

“…Although there is a little information on implementation of the mentioned above methods in the rail vehicles monitoring system prototypes [7,15], the automotive industry managed to develop methods for shock absorbers testing such as BOGE or EUSAMA [20]. However, these methods, due to their assumptions, are only designed for the test rigs.…”

Section: State Of the Artmentioning

confidence: 99%

See 1 more Smart Citation

Rail vehicle suspension condition monitoring – approach and implementation

Melnik¹,

Koziak²

2017

J. vibroeng.

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Rail vehicle suspension is responsible for providing proper running behavior and safety. In order to keep appropriate safety level, low wear of wheels and rails, and also regular transport services, it should be monitored. The paper deals with the problem of suspension fault detection by introducing methods implemented in rail and track monitoring system developed within the framework of the project: 'MONIT-Monitoring of Technical State of Construction and Evaluation of its Lifespan'. The approach to suspension fault detection presented in the paper consists of three levels, especially the method based on the multidimensional analysis of acceleration signals statistical parameters.

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Section: State Of the Artmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

Rail vehicle suspension condition monitoring – approach and implementation

Melnik¹,

Koziak²

2017

J. vibroeng.

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“…The developed method makes it possible to monitor the working condition of the damper using the accelerometers installed for vibration control. Figure 5 shows the algorithm [6]. The algorithm separates vertical vibration acceleration of the car body into bounce and pitch vibration modes, then calculates the phase difference between them.…”

Section: Fault Detection Algorithm For Vertical Dampermentioning

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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“…2,7,8 For example, filters are useful to extract fault-relevant information from vibrational measurements. Phase differences between rotational and translational motions are employed in Kojima and Sugahara 9 in order to detect faults of suspension elements. In Mei and Ding, 10 a multi-block partial least squares approach is applied to build the statistical model using the historical normal operating data.…”

Section: Introductionmentioning

confidence: 99%

Review on model-based methods for on-board condition monitoring in railway vehicle dynamics

Strano

Terzo

2019

Advances in Mechanical Engineering

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This article performs an extensive review on condition monitoring techniques for rail vehicle dynamics. In particular, the review focuses on applications of model-based approaches for on-board condition monitoring systems. The article covers condition monitoring schemes, fault detection strategies as well as theoretical aspects of different techniques. Case studies and experimental applications are also summarized. All the mentioned issues are discussed with the goal of providing a detailed overview on condition monitoring in railway vehicle dynamics.

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Fault Detection of Vertical Dampers of Railway Vehicle Based on Phase Difference of Vibrations

Cited by 7 publications

References 2 publications

Rail vehicle suspension condition monitoring – approach and implementation

Rail vehicle suspension condition monitoring – approach and implementation

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

Review on model-based methods for on-board condition monitoring in railway vehicle dynamics

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