Maria Molodova

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This paper presents an automatic method for detecting railway surface defects called “squats” using axle box acceleration (ABA) measurements on trains. The method is based on a series of research results from our group in the field of railway engineering that includes numerical simulations, the design of the ABA prototype, real-life(More)
For monitoring the conditions of railway infrastructures, axle box acceleration (ABA) measurements on board of trains is used. In this paper, the focus is on the early detection of short surface defects called squats. Different classes of squats are classified based on the response in the frequency domain of the ABA signal, using the wavelet power spectrum.(More)
  • Maria Molodova, K C A M Luyben, +10 authors Samenvatting V Samenvatting
  • 2012
All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise without the prior permission of the proprietor. I dedicate this dissertation to my parents, Yulia and Vladimir Acknowledgments i Acknowledgments After I(More)
This paper presents preliminary results towards an automated monitoring system for the quality assessment of insulated rail joints based on axle box acceleration (ABA) measurements. ABA signals from all the wheels of the measuring train (trailing and leading wheels, right and left rails) are processed to extract those characteristics that better represent(More)
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