french institute of science and technology for transport ... - Ifsttar
french institute of science and technology for transport ... - Ifsttar
french institute of science and technology for transport ... - Ifsttar
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Research orientation 2_Transport system quality, safety <strong>and</strong> optimization<br />
Maintenance <strong>of</strong> high speed<br />
railway lines<br />
The task <strong>of</strong> Diaghist<br />
How can we improve the predictive diagnosis <strong>of</strong> the<br />
condition <strong>of</strong> TVM430 track circuits, which are one <strong>of</strong><br />
the essential components <strong>of</strong> railway signalling on high<br />
speed lines? The ANR Diaghist project (1) which ended in<br />
2011 answers this question which is crucial <strong>for</strong> SNCF<br />
with a highly innovative <strong>and</strong> ambitious demonstrator.<br />
The concept <strong>of</strong> conditional preventive maintenance is<br />
gaining currency at the present time. In particular, this concept<br />
makes it possible to <strong>for</strong>esee the need <strong>for</strong> maintenance<br />
operations <strong>and</strong> per<strong>for</strong>m them at the best time, <strong>and</strong> there<strong>for</strong>e<br />
<strong>for</strong> the lowest cost, <strong>and</strong> also limits systematic preventive<br />
maintenance operations <strong>and</strong> traffic interruptions.<br />
The large number <strong>of</strong> track circuits (several tens <strong>of</strong> thous<strong>and</strong>s)<br />
<strong>and</strong> their maintenance costs (several hundred K€ par year)<br />
(1) The project, which brought together SNCF, IFSTTAR <strong>and</strong> the UTC,<br />
was launched in 2007.<br />
Interface <strong>for</strong> the expert labelling <strong>of</strong> inspection signals.<br />
justify the attempt to find optimized techniques <strong>for</strong> monitoring<br />
their condition in order to conduct prevent maintenance<br />
as efficiently as possible.<br />
This project has resulted in a number <strong>of</strong> methodological<br />
advances. The most important <strong>of</strong> these is the development<br />
<strong>of</strong> generative parametric diagnostic models, <strong>and</strong>, more particularly,<br />
the integration <strong>of</strong> knowledge about the problem to<br />
be resolved <strong>and</strong>/or about the data in the decision-making<br />
algorithms.<br />
This application is based on using the large volume <strong>of</strong> unlabelled<br />
data that are collected every 15 days by the inspection<br />
car while drawing on the expertise SNCF has built up to label<br />
a small part <strong>of</strong> it which will then be used to train a statistical<br />
model very effectively. In particular, we have <strong>for</strong>malized the<br />
training problem <strong>for</strong> the Independent Factor Analysis model<br />
in the case <strong>of</strong> imprecise or uncertain labels. This work could<br />
be extended to include all latent variable generative models<br />
with an evidence-based <strong>for</strong>mulation which generalizes<br />
several probabilistic frameworks (e.g. semi-supervised or<br />
partially supervised).<br />
The classification algorithms have been implemented in the<br />
“Diaghist” demonstrator which has been mounted on the<br />
SNCF IRIS320 inspection car. The quality <strong>of</strong> the results has<br />
led to the transfer <strong>of</strong> the tools to the SNCF Infrastructure<br />
Directorate in order to trial the concept <strong>of</strong> the conditional<br />
preventive maintenance <strong>of</strong> track circuits on a pilot At a later<br />
stage, it would be possible to envisage extending this new<br />
surveillance concept to other industrial domains.<br />
Interface <strong>for</strong> the<br />
expert labelling <strong>of</strong><br />
inspection signals.<br />
59<br />
@ CONTACT<br />
latifa.oukhellou@ifsttar.fr<br />
THESES<br />
Jeong-Hwa An_GRETTIA<br />
Choosing a sustainable <strong>transport</strong><br />
system. Comparative analysis<br />
<strong>of</strong> new guided <strong>transport</strong> systems<br />
(11/04/2011)<br />
Adrien Bak_IM-LIVIC<br />
Stereo motion cooperation<br />
<strong>for</strong> detecting dynamic objects<br />
(14/10/2011)<br />
Vincent Boccara_LPC<br />
Skill development in the learning<br />
situation during initial car<br />
driving training. Combined<br />
contributions <strong>of</strong> ergonomic<br />
psychology <strong>and</strong> social psychology<br />
(13/12/2011)<br />
Zohra Cherfi_GRETTIA<br />
Complex system diagnosis in<br />
unsupervised <strong>and</strong> partially supervised<br />
situations. Application to railway<br />
track circuits (10/10/2011)<br />
Nizar Fakhfakh_ESTAS<br />
Use <strong>of</strong> stereovision <strong>for</strong> the threedimensional<br />
detection <strong>and</strong><br />
positioning <strong>of</strong> moving objects<br />
in complex environments –<br />
Application to level crossings<br />
(14/06/2011)<br />
Haïfa Fares_LEOST<br />
Distributed MIMO systems <strong>for</strong> future<br />
cellular systems <strong>and</strong> <strong>transport</strong><br />
applications (07/12/2011)<br />
Duy-Hung Ha_GRETTIA<br />
Statistical <strong>and</strong> probabilistic<br />
modelling <strong>of</strong> time headways<br />
at different traffic levels<br />
(11/05/2011)<br />
Marjolaine Masson_LESCOT<br />
Rehabilitation <strong>of</strong> attentional<br />
processes among a population<br />
<strong>of</strong> patients with cranial trauma:<br />
application to car driving<br />
(16/03/2011)<br />
Ladislav Motak_LESCOT<br />
The contribution <strong>of</strong> metacognitive<br />
theories to the study <strong>of</strong> self-regulation<br />
in elderly drivers (05/12/2011)<br />
Judith Princeton_GRETTIA<br />
Innovative strategies <strong>for</strong> road network<br />
management <strong>and</strong> sustainable mobility.<br />
A new approach to evaluation<br />
(09/11/2011)<br />
Hong Tu Luu_IM-LIVIC<br />
Development <strong>of</strong> methods<br />
to reduce vehicle fuel consumption<br />
while maintaining safety <strong>and</strong><br />
com<strong>for</strong>t: a trade-<strong>of</strong>f between<br />
economics <strong>and</strong> the environment<br />
(27/06/2011)<br />
Maud Ranchet_LESCOT<br />
Effect <strong>of</strong> Parkinson’s disease on car<br />
driving (30/11/2011)<br />
Dung Nghi Truong Cong_LEOST<br />
Comparing image sequences<br />
in order to track de<strong>for</strong>mable objects<br />
in colour video footage. Application<br />
to urban <strong>transport</strong> site surveillance<br />
(11/01/2011)<br />
Nicolas Vi<strong>and</strong>ier_LEOST<br />
Modelling GNSS pseudorange<br />
errors in a <strong>transport</strong>ation<br />
environment in order to improve<br />
the per<strong>for</strong>mance <strong>of</strong> positioning<br />
(07/06/2011)<br />
ANNUAL REPORT 2011 ifsttar.fr