Compact Fiber Optic Trackside Sensor for Rail Vehicle Detection and Analysis

Kepák, Stanislav; Čubík, Jakub; Nedoma, Jan; Hruby, David; Hejduk, Stanislav; Zavodny, Petr; Fajkus, Marcel; Vašinek, Vladimír

doi:10.1016/j.ifacol.2018.07.157

Cited by 3 publications

(4 citation statements)

References 13 publications

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“…The input and output interface was created by screwing connectors FC/APC that secured fixed connection and minimal attenuation. Based on the previous research [4] and [16], we decided to use optical couplers with a coupling ratio of 1:1 (tolerance +/-5 %). The prototype was covered with a waterproof box.…”

Section: Experimental Measurementmentioning

confidence: 99%

“…was fixed on the glass pad, and the authors proclaimed that they reached a higher sensitivity level. The research papers [16][17] proposed a system based on 5three-armed Mach-Zehnder interferometer consisting of one or more passive fiber trackside sensors and x86 family of instruction set architecture microprocessor. The system is able to measure traffic density within the rail transportation.…”

Section: Introductionmentioning

confidence: 99%

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Fiber Optic Phase-Based Sensor for Detection of Axles and Wheels of Tram Vehicles

Nedoma¹,

Kostelanský²,

Fridrich³

et al. 2020

Communications

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This paper presents a novelty approach to usage of the fiber-optic phase-based sensor in railway transportation. We designed and tested the real deployment of this sensor working on the principle of light interferences within optical fibers. The proposed construction of the sensor allowed to increase the sensitivity and thanks to this can be detected and calculated individual axles and wheels of tram vehicles. We performed long-time period measurements (April to September 2019) in diverse climatic conditions, including measurements of 642 tram passages (several different construction types) in real urban traffic. The detection accuracy level was slightly above 99.4 %.

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Section: Experimental Measurementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fiber Optic Phase-Based Sensor for Detection of Axles and Wheels of Tram Vehicles

Nedoma¹,

Kostelanský²,

Fridrich³

et al. 2020

Communications

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“…The unique advantages of FBG sensing technology make it suitable for applications in the rail transport industry. In the past decade, much research progress has been achieved for applications of FBG technology [ 16 , 17 , 18 , 19 , 20 , 21 ]. In 2010, Wei, C. L. et al proposed a shaft-counting device based on optical fiber sensing technology, which can detect the number of wheel axles passing overhead [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

Opto-Mechatronics System for Train-Track Micro Deformation Sensing

Gan

Tao

et al. 2021

Sensors

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In this paper, we proposed and experimentally demonstrated an opto-mechatronics system to detect the micro-deformation of tracks caused by running trains. The fiber Bragg grating (FBG) array acting as sensing elements has a low peak reflectivity of around −40 dB. The center wavelengths were designed to alternate between 1551 nm and 1553 nm at 25 °C. Based on dual-wavelength, wavelength-division multiplexing (WDM)/time-division multiplexing (TDM) hybrid networking, we adopted optical time-domain reflectometry (OTDR) technology and a wavelength-scanning interrogation method to achieve FBG array signal demodulation. The field experimental results showed that the average wavelength shift of the FBG array caused by the passage of the lightest rail vehicle was −225 pm. Characteristics of the train-track system, such as track occupancy, train length, number of wheels, train speed, direction, and loading can be accurately obtained in real time. This opto-mechatronics system can meet the requirements of 600 mm spatial resolution, long distance, and large capacity for monitoring the train-track system. This method exhibits great potential for applications in large-scale train-track monitoring, which is meaningful for the safe operation of rail transport.

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“…The measuring arm of the interferometer was glued on the glasses plate, the authors state that the sensor is more sensitive. The publication [26][27] described the use of three-armed Mach-Zehnder interferometer for rail transport as a traffic density detector. The proposed system consists of one or more passive fiber trackside sensors and an x86 processing unit located at the work site.…”

Section: Introductionmentioning

confidence: 99%

Fiber-Optic Interferometric Sensor for Dynamic Impact Measurement of Transport Trucks

Stolárik

Nedoma

2019

JERA

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Ground vibrations are commonly observed by using a standard seismic station equipped with speed seismometers or acceleration seismometers. The seismometers include three mechanical vibrating systems (sensors) and the primary output is the wave pattern of recording velocity or acceleration of the material point oscillation. An alternative new method how it is possible to realize seismic measurements is using of the fiber-optic interferometric sensors. These interferometers are well-known for their ability to make high-precision measurements of optical path difference or changes that may be induced by a refractive index change in the interferometer or a physical displacement. The paper presents a comparison of the results of the standard seismic measurement by using seismic station and of the fiber-optic interferometric sensor. As a source of dynamic load, truck transport was chosen. When trucks passing through unevenness on the road (due to the road damage, the transition area of the bridge etc.), it generates vibrations that are transmitted to the subsoil and can adversely affect the surrounding building objects. Data comparison of the subsoil dynamic response obtained during both approaches of measurements is present in the amplitude and primary in the frequency domain.

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Compact Fiber Optic Trackside Sensor for Rail Vehicle Detection and Analysis

Cited by 3 publications

References 13 publications

Fiber Optic Phase-Based Sensor for Detection of Axles and Wheels of Tram Vehicles

Fiber Optic Phase-Based Sensor for Detection of Axles and Wheels of Tram Vehicles

Opto-Mechatronics System for Train-Track Micro Deformation Sensing

Fiber-Optic Interferometric Sensor for Dynamic Impact Measurement of Transport Trucks

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