Reference
K. Verbert, B. De Schutter, and R. Babuška, "Exploiting spatial and
temporal dependencies to enhance fault diagnosis: Application to railway track
circuits,"
Proceedings of the 2015 European Control
Conference, Linz, Austria, pp. 3052-3057, July 2015.
Abstract
In many practical applications, it is not feasible to measure a large number of
variables. Therefore, strategies are required to enhance fault diagnosis, given
the available monitoring signals. In this paper, we consider fault diagnosis in
networks using a limited number of monitoring signals. We propose to use
spatial dependencies between the monitoring data of the subsystems to
discriminate between faults. Furthermore, the temporal properties of the
monitoring signal are exploited. It is shown that, for a track circuit example,
the spatial and temporal dependencies are valuable for diagnosis. Based on
these features, an approach is proposed for fault diagnosis in the presence of
environmental disturbances.
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BibTeX
@inproceedings{VerDeS:15-008,
author = {Verbert, Kim and De Schutter, Bart and Babu{\v{s}}ka, Robert},
title = {Exploiting Spatial and Temporal Dependencies to Enhance Fault
Diagnosis: {Application} to Railway Track Circuits},
booktitle = {Proceedings of the 2015 European Control Conference},
address = {Linz, Austria},
pages = {3052--3057},
month = jul,
year = {2015}
}