An autonomous, low cost, distributed method for observing vehicle track interactions
Access Status
Authors
Date
2006Type
Metadata
Show full item recordCitation
Source Title
Source Conference
ISBN
Faculty
Remarks
Copyright © 2006 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Collection
Abstract
Experience and field studies have shown that track geometry alone is not a good predictor of rail vehicle response. This paper describes a family of "Health Card" devices - an autonomous device that can be distributed on rolling stock to analyse the vehicle responses. As a distributed system is desired, and the intent is to apply this technology widely across a vehicle fleet, a low initial capital cost and low operating cost solution is desirable. As a consequence the Health Card performs all its sensing operations on the car body and avoids the costs and complications of sensing below the car body especially on unsprung components. Health Cards use solid-state transducers including accelerometers and angular rate sensors with a coordinate transform to resolve car body motions into six degrees of freedom. They then apply spectrogram techniques to obtain a time-frequency representation of the car body motion. These representations are autonomously analyzed to detect and classify transient dynamic events and to infer track degradation or operational risks
Related items
Showing items related by title, author, creator and subject.
-
Wolfs, Peter; Bleakly, S.; Senini, S.; Thomas, P. (2006)In the case of a railway wagon running on track, irregularities in the track formation can lead to complex dynamic interactions. Experience has shown that track geometry alone is not a good predictor of vehicle response ...
-
Shafiullah, G.; Simson, S.; Thompson, A.; Wolfs, Peter; Ali, S. (2008)Wireless communications and modern machine learning techniques have jointly been applied in the recent development of vehicle health monitoring (VHM) systems. The performance of rail vehicles running on railway tracks is ...
-
Blincoe, L.; Miller, Ted; Zaloshnja, E.; Lawrence, B. (2014)© 2014 by Nova Science Publishers, Inc. All rights reserved. In 2010, there were 32,999 people killed, 3.9 million were injured, and 24 million vehicles were damaged in motor vehicle crashes in the United States. The ...