A Fiber Bragg Grating Sensor System for Train Axle Counting

Condition monitoring systems are commonly exploited to assess the health status of equipment. A fundamental part of any condition monitoring system is data acquisition. Meaningfully estimating the current condition and predicting the future behaviour of the equipment strongly depends on the characteristic of the data measurement stage. Nowadays, condition monitoring has wide applications in the railway industry and various monitoring approaches have been proposed for the inspection of wheel and rail conditions. In-service condition monitoring of wheels provides the real-time data required for maintenance planning, while in-workshop inspection is normally done at fixed intervals carried out periodically. In-service data acquisition can be divided into on-board and wayside measurements. In this paper, on the basis of these classifications, the existing data acquisition techniques for the monitoring of railway wheel condition are reviewed, and the state-of-the-art methods and required research are discussed.

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“…Wei et al 43 used FBG sensors to count the axles, which pass the sensors. The main problem here is the processing of noisy signals.…”

Section: W1 ¼ P1 ð6þmentioning

confidence: 99%

“…For example, in Wei et al 43 and Filograno et al, 44 different positions for mounting the sensors were assessed. Wei et al 43 implemented an ANSYS analysis and laboratory test. Their results showed that the maximum deflection would be on the head and foot of the rail in case of longitudinal sensor.…”

Section: Measurement Conditionsmentioning

confidence: 99%

Condition monitoring approaches for the detection of railway wheel defects

Alemi

Corman

Lodewijks

2016

Proceedings of the Institution of Mechanical Engineers, Part F:

110

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“…The interrogation equipment, referred as si425 optical sensing interrogator, designed by Micro Optics, INC. and used in this study, is based upon the wavelength-division multiplexing technique. In simple terms, an interrogation system is a scanning ring laser [3]. A light outputs from a wavelength-tunable laser, and a certain wavelength of light is reflected by the FBG sensors, and the reflected component is detected by photo detectors.…”

Section: B the Interrogation Systemmentioning

confidence: 99%

Real-Time Fault Diagnosis of Train Bogie Using FBG Sensors

Wei

Cai

Tam

et al. 2012

2012 Second International Conference on Intelligent System Design and Engineering Application

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To measure the temperature profile of various critical parts on a train bogie to fore-warn the train drivers the potential failures in those mechanical parts, such as the axle and motor bearing, gear box bearing, and braking mechanisms, which could go undetected under existing maintenance procedure, and so as to reduce the possibility of sudden breakdowns. Eighteen fiber Bragg grating sensors are installed in those parts, and an interrogation system is used to capture the sensor data, then a data processing and presentation software consisting of a graphical user interface is to present the data and fore-warn the train drivers. The system is successfully built and tested in a train which services in the Airport Express Line of Hong Kong.

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“…They could detect the train parameters: train speed and acceleration, the distance between the wheels and the total number of wheels. Moreover, by studying the electromagnetic interference (EMI) on the delicate changes of the FBG's measurements, Wei et al (2010); Wei et al (2012) proposed an approach of axle counting with two methods presented: X-Crossing and D(erivative)-Crossing. In fact, a peak in the signal is determined by a rising edge, followed by a falling edge.…”

Section: Introductionmentioning

confidence: 99%

Identification of train loads from the dynamic responses of an integrated sleeper in situ

Tran

Hoang

Forêt

et al. 2020

Journal of Intelligent Material Systems and Structures

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The monitoring of railway tracks can be performed through several measurement techniques. Recently, a method of diagnosing the railway track has been proposed using fiber Bragg gratings integrated inside the railway sleeper. An analytical model for the dynamics of railway sleepers has been developed allowing calculation of the sleeper responses. In this model, using the relation between the rail forces and displacements of a periodically supported beam, the sleeper’s dynamic equation is written with the help of the Euler–Bernoulli beam and Dirac’s delta distribution. Subsequently, the sleeper dynamic responses are calculated using the Green’s function. This article presents an application of this model to identify the train loads from the strains measured in situ. Based on this model, we can obtain a matrix which presents the link between the loads and the sleeper responses. Then, by substituting the Fourier transform of measured strains at the middle and at the two rail seats of the sleeper, the train loads can be quickly calculated by inverting the matrix with the help of MATLAB. This method is validated by the experiments. Numerical examples with the measurement in situ are presented to show identified wheel loads from experimental signals.

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A Fiber Bragg Grating Sensor System for Train Axle Counting

Cited by 92 publications

References 9 publications

Condition monitoring approaches for the detection of railway wheel defects

Condition monitoring approaches for the detection of railway wheel defects

Real-Time Fault Diagnosis of Train Bogie Using FBG Sensors

Identification of train loads from the dynamic responses of an integrated sleeper in situ

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