Computational & Technology Resources
an online resource for computational,
engineering & technology publications |
|
Civil-Comp Conferences
ISSN 2753-3239 CCC: 1
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo
Paper 27.7
Data Acquisition for Abnormality Detection using an Experimental Bogie on Test Track S. Lin1, Y. Suda1 and S. Sakanishi2
1Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
S. Lin, Y. Suda, S. Sakanishi, "Data Acquisition for Abnormality Detection using an Experimental Bogie on Test Track", in J. Pombo, (Editor), "Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance",
Civil-Comp Press, Edinburgh, UK,
Online volume: CCC 1, Paper 27.7, 2022, doi:10.4203/ccc.1.27.7
Keywords: wheel, climb, rail, data, experiment.
Abstract
Actual data on the state of the vehicle leading to derailment is necessary for research on the detection of derailment signs of railway vehicles. In this paper, the acquisition of data on the state leading to wheel climb of the experimental bogie is described.
download the full-text of this paper (PDF, 4 pages, 673 Kb)
go to the previous paper |
|