TY - GEN
T1 - Automatic Inspection of Railcar Wheels Using Laser and Image Sensor
AU - Emoto, Takeshi
AU - Ravankar, Ankit A.
AU - Ravankar, Abhijeet
AU - Emaru, Takanori
AU - Kobayashi, Yukinori
N1 - Funding Information:
The work presented in this paper is supported by West Japan Railway Company and Kawasaki Heavy Industries. We gratefully acknowledge the support provided by them.
Publisher Copyright:
© 2021 The Society of Instrument and Control Engineers-SICE.
PY - 2021/9/8
Y1 - 2021/9/8
N2 - Periodic condition monitoring of railcar wheels is crucial for smooth operation and passenger or goods safety. Currently, most periodic inspections are conducted by skilled field technicians. Manual measurements can have errors; therefore, to reduce the maintenance cost and improve the accuracy of measurement, developing an automatic inspection system is essential. In this study, we propose an automatic inspection system of railcar wheel condition monitoring using laser sensors and image data. The system is developed to replace the existing manual monitoring process for accurate measurements and monitoring. Experiments were performed using a 20% scaled model of the wheel to simulate the actual wheel condition.
AB - Periodic condition monitoring of railcar wheels is crucial for smooth operation and passenger or goods safety. Currently, most periodic inspections are conducted by skilled field technicians. Manual measurements can have errors; therefore, to reduce the maintenance cost and improve the accuracy of measurement, developing an automatic inspection system is essential. In this study, we propose an automatic inspection system of railcar wheel condition monitoring using laser sensors and image data. The system is developed to replace the existing manual monitoring process for accurate measurements and monitoring. Experiments were performed using a 20% scaled model of the wheel to simulate the actual wheel condition.
KW - Automatic inspection
KW - Computer vision
KW - Condition monitoring
KW - Railway wheel surface defect
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M3 - Conference contribution
AN - SCOPUS:85117725360
T3 - 2021 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2021
SP - 1282
EP - 1287
BT - 2021 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2021
Y2 - 8 September 2021 through 10 September 2021
ER -