Axle box acceleration for health monitoring of insulated joints: A case study in the Netherlands

Molodova, Maria; Oregui, M.; Núñez, Alfredo; Li, Zili; Moraal, Jan; Dollevoet, Rolf

doi:10.1109/itsc.2014.6957791

Cited by 14 publications

(19 citation statements)

References 20 publications

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“…For example, the use of vertically sensing, axlebox-mounted accelerometers to identify corrugation, or to monitor joints. [30] By focussing on one aspect of track geometry, the sensors can be chosen to work for the particular application but generally cannot then be used to achieve additional functions. An accelerometer that is very good for identifying corrugation may not be able to, nor need to, have low enough drift to be useful for identifying long wavelength geometry.…”

Section: Academic and Experimental Systemsmentioning

confidence: 99%

Perspectives on railway track geometry condition monitoring from in-service railway vehicles

Weston

Roberts

Yeo

et al. 2015

Vehicle System Dynamics

196

130

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This paper presents a view of the current state of monitoring track geometry condition from in-service vehicles. It considers technology used to provide condition monitoring; some issues of processing and the determination of location; how things have evolved over the past decade; and what is being, or could/should be done in future research. Monitoring railway track geometry from an in-service vehicle is an attractive proposition that has become a reality in the past decade. However, this is only the beginning. Seeing the same track over and over again provides an opportunity for observing track geometry degradation that can potentially be used to inform maintenance decisions. Furthermore, it is possible to extend the use of track condition information to identify if maintenance is effective, and to monitor the degradation of individual faults such as dipped joints. There are full unattended track geometry measurement systems running on in-service vehicles in the UK and elsewhere around the world, feeding their geometry measurements into large databases. These data can be retrieved, but little is currently done with the data other than the generation of reports of track geometry that exceeds predefined thresholds. There are examples of simpler systems that measure some track geometry parameters more or less directly and accurately, but forego parameters such as gauge. Additionally, there are experimental systems that use mathematics and models to infer track geometry using data from sensors placed on an in-service vehicle. Finally, there are systems that do not claim to measure track geometry, but monitor some other quantity such as ride quality or bogie acceleration to infer poor track geometry without explicitly measuring it.

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Section: Academic and Experimental Systemsmentioning

confidence: 99%

Perspectives on railway track geometry condition monitoring from in-service railway vehicles

Weston

Roberts

Yeo

et al. 2015

Vehicle System Dynamics

196

130

View full text Add to dashboard Cite

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“…There are some researches and applications that use the vibration data to detect whether the devices or facilities are faulty or not [1,2,4,10]. However, most of them only do a simple treatment with the vibration data which causes low accuracy.…”

Section: Fault Detection With Vibration Datamentioning

confidence: 99%

“…Reference [1] presents preliminary results towards an automated monitoring system for the quality assessment of insulated rail joints (IRJ). And IRJ with surface degradation is shown in Fig.…”

Section: Fault Detection With Vibration Datamentioning

confidence: 99%

“…In order to illustrate the accuracy and practicability of the Spider algorithm, the vibration platform and the data of train track detection in reference [1] were used for testing in this section.…”

Section: The Test Of Spider Algorithmmentioning

confidence: 99%

“…Reference [1] presents preliminary results towards an automated monitoring system for the quality assessment of insulated rail joints based on axle box acceleration (ABA) measurements, and reference [2] presents a prototype for monitoring and detecting the damage for the real bridge using those sensor nodes. However, the related fault detection techniques [3,4] have low accuracy, the vibration data are not analyzed in depth, and they haven't designed an effective system architecture.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Design and Implementation of a Vibration Fault Detection Cyber-Physical System

Su¹,

Zhu²,

Xiao³

2017

dtcse

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Abstract. In this paper, the design and implementation of a vibration fault detection cyber-physical system (VFDCPS) is presented. Vibration fault detection is increasingly used in track vibration, bridge vibration and other related fields. However, current research reveals some problems such as low accuracy of fault detection, few effective in-depth calculation of vibration data and fault test methods. Cyber-Physical systems (CPSs) are integrations of computation, networking, and physical processes. From the CPSs point of view, VFDCPS consists of three layers: the monitoring and control layer (MCL), the network layer and the device layer. The MCL deals with real-time monitoring and the precise control of the system. In the network layer, the CANopen network of field device can communicate with the Ethernet of VFDCPS for system's expandability and reliability. The device layer copes with collected data by using fast Fourier transform (FFT), lowpass filter, etc., which greatly improves the system's accuracy and the ability of massive computing. This paper also proposes a fault detection algorithm with vibration data called Spider which quantifies the criteria of fault evaluation. It is shown by test data that our approaches and improvements in design make VFDCPS more accurate and reliable in real-time vibration fault detection.

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Providing Service Composition to Cyber-Physical System for Industrial Fault Detection

Xiao

Zhao

Tang

2020

Advances in Intelligent Systems and Computing

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Axle box acceleration for health monitoring of insulated joints: A case study in the Netherlands

Cited by 14 publications

References 20 publications

Perspectives on railway track geometry condition monitoring from in-service railway vehicles

Perspectives on railway track geometry condition monitoring from in-service railway vehicles

The Design and Implementation of a Vibration Fault Detection Cyber-Physical System

Providing Service Composition to Cyber-Physical System for Industrial Fault Detection

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