TY  - JOUR
TT  - Real time implementation for fault diagnosis and condition monitoring approach using image processing in railway switches
AU  - Karaköse, Mehmet
AU  - Yaman, Orhan
AU  - Akın, Erhan
PY  - 2016
DA  - December
DO  - 10.18100/ijamec.270627
JF  - International Journal of Applied Mathematics Electronics and Computers
PB  - PLUSBASE AKADEMİ ORGANİZASYON VE DANIŞMANLIK
WT  - DergiPark
SN  - 2147-8228
SP  - 307
EP  - 313
IS  - Special Issue-1
KW  - Railway
KW  - Condition Monitoring
KW  - Fault Detection
KW  - Image Processing
KW  - Railroad Switches
N2  - Today, railwaytransportation is one of the transport modes commonly used. Compared to othertransport modes, railway traffic is highly critical. Multiple railway vehiclesrun constantly on one or two lines. Rail switch passages are used to preventlocomotives from colliding with one another and avoid traffic disruptions.Through switch passages, locomotives pass from one line to another. Frictionbetween rail and wheels on switch passages is considerably high. This frictionleads to failures on switch passages. Unless these failures are diagnosed earlyand remedied, significant accidents emerge.In this study, a newapproach based on image processing has been presented for detection of railswitch passages on railway lines. A test vehicle has been created in order totest the proposed approach and apply it on a real-time system. Railway line ismonitored by digital cameras fixed on this test vehicle. Image-processingapproach is developed on the real-time images captured from the railway lineand the switch passages on the line are detected. In addition, by specifyingthe train route, the fault which occurring at the point of the switches isdetected. The image-processing approach consists of three main parts includingpre-processing, feature extraction and processing of the features obtained. Atthe pre-processing stage, the basic image processing methods are used. At thefeature extraction stage, Canny edge extraction algorithm is used and hence theedges in the image are detected. Hough transform method is used at the stage ofprocessing of the extracted features. Following Hough transform stage, straightlines and angles of these lines are obtained on the image. Taking into accountthe angle of each straight line, the junction points of the lines arecalculated. Thus, rail switch passage and switch types are detected. Theproposed image-processing approach is highly fast and real time-based. Comparedto the existing studies in the literature, it is seen that the proposed methodgives fast and successful results. This study intends to diagnose the failureson switch passages early and prevent potential accidents.
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UR  - https://doi.org/10.18100/ijamec.270627
L1  - https://dergipark.org.tr/en/download/article-file/237218
ER  -