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Short Paper
Test Selection for Diagnosing Multimode Systems (Short Paper)

Authors: Mattias Krysander and Fatemeh Hashemniya

Published in: OASIcs, Volume 125, 35th International Conference on Principles of Diagnosis and Resilient Systems (DX 2024)


Abstract
This work considers the problem of selecting residuals for consistency-based diagnosis of multimode systems. The system operation mode is assumed to be given by a set of known discrete variables. The number of operation modes grows exponentially with the number of binary variables, thus methods enumerating the modes are not feasible. Here a method is proposed to select a small subset of residuals for diagnosing multimode systems. The selection is based on the fault signature of the residuals for the different modes of operation. To avoid the exponential growth of the number of modes, the multimode fault signature matrix is used to compute the diagnosability of the residuals. The approach is inspired and exemplified by a dynamically configurable battery pack. The result is a small set of residuals with the maximum diagnosability in all operation modes.

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Mattias Krysander and Fatemeh Hashemniya. Test Selection for Diagnosing Multimode Systems (Short Paper). In 35th International Conference on Principles of Diagnosis and Resilient Systems (DX 2024). Open Access Series in Informatics (OASIcs), Volume 125, pp. 28:1-28:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


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@InProceedings{krysander_et_al:OASIcs.DX.2024.28,
  author =	{Krysander, Mattias and Hashemniya, Fatemeh},
  title =	{{Test Selection for Diagnosing Multimode Systems}},
  booktitle =	{35th International Conference on Principles of Diagnosis and Resilient Systems (DX 2024)},
  pages =	{28:1--28:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-356-0},
  ISSN =	{2190-6807},
  year =	{2024},
  volume =	{125},
  editor =	{Pill, Ingo and Natan, Avraham and Wotawa, Franz},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.DX.2024.28},
  URN =		{urn:nbn:de:0030-drops-221209},
  doi =		{10.4230/OASIcs.DX.2024.28},
  annote =	{Keywords: Consistency-based Diagnosis, Residual Selection, Multimode Systems, Battery Application}
}
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