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Optimal Sensor Location Design for Reliable Fault Detection in Presence of False Alarms
To improve fault detection reliability, sensor location should be designed according to an optimization criterion with constraints imposed by issues of detectability and identifiability. Reliability requires the minimization of undetectability and false alarm probability due to random factors on sen...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3260601/ https://www.ncbi.nlm.nih.gov/pubmed/22291524 http://dx.doi.org/10.3390/s91108579 |
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author | Yang, Fan Xiao, Deyun Shah, Sirish L. |
author_facet | Yang, Fan Xiao, Deyun Shah, Sirish L. |
author_sort | Yang, Fan |
collection | PubMed |
description | To improve fault detection reliability, sensor location should be designed according to an optimization criterion with constraints imposed by issues of detectability and identifiability. Reliability requires the minimization of undetectability and false alarm probability due to random factors on sensor readings, which is not only related with sensor readings but also affected by fault propagation. This paper introduces the reliability criteria expression based on the missed/false alarm probability of each sensor and system topology or connectivity derived from the directed graph. The algorithm for the optimization problem is presented as a heuristic procedure. Finally, a boiler system is illustrated using the proposed method. |
format | Online Article Text |
id | pubmed-3260601 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32606012012-01-30 Optimal Sensor Location Design for Reliable Fault Detection in Presence of False Alarms Yang, Fan Xiao, Deyun Shah, Sirish L. Sensors (Basel) Article To improve fault detection reliability, sensor location should be designed according to an optimization criterion with constraints imposed by issues of detectability and identifiability. Reliability requires the minimization of undetectability and false alarm probability due to random factors on sensor readings, which is not only related with sensor readings but also affected by fault propagation. This paper introduces the reliability criteria expression based on the missed/false alarm probability of each sensor and system topology or connectivity derived from the directed graph. The algorithm for the optimization problem is presented as a heuristic procedure. Finally, a boiler system is illustrated using the proposed method. Molecular Diversity Preservation International (MDPI) 2009-10-27 /pmc/articles/PMC3260601/ /pubmed/22291524 http://dx.doi.org/10.3390/s91108579 Text en © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Yang, Fan Xiao, Deyun Shah, Sirish L. Optimal Sensor Location Design for Reliable Fault Detection in Presence of False Alarms |
title | Optimal Sensor Location Design for Reliable Fault Detection in Presence of False Alarms |
title_full | Optimal Sensor Location Design for Reliable Fault Detection in Presence of False Alarms |
title_fullStr | Optimal Sensor Location Design for Reliable Fault Detection in Presence of False Alarms |
title_full_unstemmed | Optimal Sensor Location Design for Reliable Fault Detection in Presence of False Alarms |
title_short | Optimal Sensor Location Design for Reliable Fault Detection in Presence of False Alarms |
title_sort | optimal sensor location design for reliable fault detection in presence of false alarms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3260601/ https://www.ncbi.nlm.nih.gov/pubmed/22291524 http://dx.doi.org/10.3390/s91108579 |
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