Exploiting Spatial and Temporal Dependencies to Enhance Fault
Diagnosis: Application to Railway Track Circuits
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.
Downloads
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Bibtex entry
@inproceedings{VerDeS:15-008,
author={K. Verbert and B. {D}e Schutter and R. Babu{\v{s}}ka},
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}
}
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