Overhead Contact Line Inspection System by Rail-and-Road Car.

Kusumi, Shuniechi; Nezu, Kazuyoshi; Nagasawa, Hiroki

doi:10.2219/rtriqr.41.169

Cited by 9 publications

(6 citation statements)

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“…The mechanical characteristics between the overhead contact line and the pantograph include the height, stagger, and wear of the overhead contact wire. The electrical characteristics include the change in the waveform of the current collection and the arcing which is flow of current through an air gap between the overhead contact line and the pantograph [3,4]. It has been reported that the mechanical impact of the pantograph is caused by the wear, height difference, and hard spots of the overhead contact line [3,5].…”

Section: Introductionmentioning

confidence: 99%

Implementation of Image Processing in Studying Contact Conditions of Overhead Contact Line-Pantograph at 400 km/h

Lee

Kim

et al. 2020

J. Electr. Eng. Technol.

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As an overhead contact line contacts the pantograph of an electric railway to supply electricity, it is operated after its electrical and mechanical safety features are examined. This study investigates a technology for examining the contact condition between the pantograph and the overhead contact line by using image processing. Contact condition images between the pantograph and the overhead contact line were obtained using a video device installed on the roof of a train, and the contact condition was tested between Iksan Station and Jeongeup Station of the Honam high-speed railway in the velocity range of 100-400 km/h. Images between the pantograph and the overhead contact line were used to recognize the feature points of the pantograph, and the moving displacement of the contact strip was detected using a Hough transform. The detected displacement was represented as a frequency through the zero crossing and a Fourier transform, and then its relationship with the arcing between the overhead contact line and the pantograph was analyzed.

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Section: Introductionmentioning

confidence: 99%

Implementation of Image Processing in Studying Contact Conditions of Overhead Contact Line-Pantograph at 400 km/h

Lee

Kim

et al. 2020

J. Electr. Eng. Technol.

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“…(7), and for detection of error frames, respectively for each type of sequences, in Eq. (8)(9)(10). Where the number of incorrect frames appearing in a sequence is three, then correction is possible by using, firstly, Eq.…”

Section: Error Correctionmentioning

confidence: 99%

“…so-called hard points [3][4][5][6]. Contactless methods, which may be used only for static measurements, usually require the use of laser scanners or vision cameras [2,[7][8][9][10]. Sometimes a combination of measurement current collectors and cameras is employed [4,7,11].…”

Section: Introductionmentioning

confidence: 99%

Robustness of contact-less optical method, used for measuring contact wire position in changeable lighting conditions

Skibicki

2017

Teh. vjesn.

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Original scientific paperThe article presents verification of robustness of contactless method based on 2D image camera, which is used to measure catenary contact wire position in changeable ambient lighting conditions. Robustness in changeable lighting conditions is ensured through the combination of advanced image processing for background information removal and the algorithm of error correction. This algorithm detects incorrect images and substitutes information from these images with proper measurement data obtained from correct images which precede and follow the incorrect one. The paper presents and discusses the processing algorithms used, as well as shows examples of measurement results obtained on a full scale laboratory stand. Keywords: contact line; diagnostic systems; electric traction; measurement systemsRobustnost bezkontaktne optičke metode korištene za mjerenje položaja žice spoja u promjenjivim uvjetima osvjetljenja Izvorni znanstveni članak U članku je prikazana provjera robustnosti bezkontktne metode utemeljene na 2D fotoaparatu, koja se koristi za mjerenje položaja žice spoja u promjenjivim uvjetima osvjetljenja okoline. Robustnost u promjenjivim uvjetima osvjetljenja osigurana je kombinacijom napredne obrade slike za uklanjanje pozadinskih informacija i algoritma ispravljanja pogrešaka. Ovaj algoritam otkriva netočne slike i nadomješta informacije s ovih slika s odgovarajućim mjernim podacima dobivenim od ispravnih slika koje prethode i slijede pogrešnu. Rad prikazuje i raspravlja o korištenim algoritmima za obradu, te pokazuje primjere rezultata mjerenja dobivenih na laboratorijskom mjernom pultu.

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“…The research on the high-efficiency detection work of the OCS started relatively early. Kusumi et al [ 9 ] developed an OCS inspection system that can be installed on rail vehicles. Liu et al [ 10 ] described a wireless system for monitoring a railway’s signaling, control, or infrastructure condition.…”

Section: Introductionmentioning

confidence: 99%

Railway Overhead Contact System Point Cloud Classification

Xiao

Chen

Liu

et al. 2021

Sensors

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As the railway overhead contact system (OCS) is the key component along the high-speed railway, it is crucial to detect the quality of the OCS. Compared with conventional manual OCS detection, the vehicle-mounted Light Detection and Ranging (LiDAR) technology has advantages such as high efficiency and precision, which can solve the problems of OCS detection difficulty, low efficiency, and high risk. Aiming at the contact cables, return current cables, and catenary cables in the railway vehicle-mounted LiDAR OCS point cloud, this paper used a scale adaptive feature classification algorithm and the DBSCAN (density-based spatial clustering of applications with noise) algorithm considering OCS characteristics to classify the OCS point cloud. Finally, the return current cables, catenary cables, and contact cables in the OCS were accurately classified and extracted. To verify the accuracy of the method presented in this paper, we compared the experimental results of this article with the classification results of TerraSolid, and the classification results were evaluated in terms of four accuracy indicators. According to statistics, the average accuracy of using this method to extract two sets of OCS point clouds is 99.83% and 99.89%, respectively; the average precision is 100% and 99.97%, respectively; the average recall is 99.16% and 99.42%, respectively; and the average overall accuracy is 99.58% and 99.69% respectively, which is overall better than TerraSolid. The experimental results showed that this approach could accurately and quickly extract the complete OCS from the point cloud. It provides a new method for processing railway OCS point clouds and has high engineering application value in railway component detection.

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Overhead Contact Line Inspection System by Rail-and-Road Car.

Cited by 9 publications

References 0 publications

Implementation of Image Processing in Studying Contact Conditions of Overhead Contact Line-Pantograph at 400 km/h

Implementation of Image Processing in Studying Contact Conditions of Overhead Contact Line-Pantograph at 400 km/h

Robustness of contact-less optical method, used for measuring contact wire position in changeable lighting conditions

Railway Overhead Contact System Point Cloud Classification

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