Multilayer Architecture for Fault Diagnosis of Embedded Systems
| Main Author: | |
|---|---|
| Publication Date: | 2021 |
| Other Authors: | , |
| Format: | Article |
| Language: | eng |
| Source: | Repositório Institucional da Udesc |
| dARK ID: | ark:/33523/0013000005z7g |
| Download full: | https://repositorio.udesc.br/handle/UDESC/4003 |
Summary: | © 2021, Prognostics and Health Management Society. All rights reserved.This work presents a multilayer architecture for fault diagnosis in embedded systems based on formal modeling of Discrete Event Systems (DES). Most works on diagnosis of DES focus in faults of actuators, which are the devices subject to intensive wear in industry. However, embedded systems are commonly subject to cost reduction, which may increase the probability of faults in the electronic hardware. Further, in tech support of a product without a diagnosis system, it takes time to identify if the fault is in software or the electronic board. In this case, the most common solution is to replace the whole electronic board with an updated version of the code. We propose a modeling approach which includes the isolation of the source of the fault in the model, regard-ing three layers of embedded systems: software, hardware and sensors & actuators. The proposed method is applied to a home appliance refrigerator and after exhaustive practical tests with forced fault occurrences, all faults were diagnosed, precisely identifying the layer and the faulty component. The solution was then incorporated into the product manufactured in industrial scale. |
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Multilayer Architecture for Fault Diagnosis of Embedded Systems© 2021, Prognostics and Health Management Society. All rights reserved.This work presents a multilayer architecture for fault diagnosis in embedded systems based on formal modeling of Discrete Event Systems (DES). Most works on diagnosis of DES focus in faults of actuators, which are the devices subject to intensive wear in industry. However, embedded systems are commonly subject to cost reduction, which may increase the probability of faults in the electronic hardware. Further, in tech support of a product without a diagnosis system, it takes time to identify if the fault is in software or the electronic board. In this case, the most common solution is to replace the whole electronic board with an updated version of the code. We propose a modeling approach which includes the isolation of the source of the fault in the model, regard-ing three layers of embedded systems: software, hardware and sensors & actuators. The proposed method is applied to a home appliance refrigerator and after exhaustive practical tests with forced fault occurrences, all faults were diagnosed, precisely identifying the layer and the faulty component. The solution was then incorporated into the product manufactured in industrial scale.2024-12-06T11:41:22Z2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article2153-264810.36001/IJPHM.2021.V12I2.3067https://repositorio.udesc.br/handle/UDESC/4003ark:/33523/0013000005z7gInternational Journal of Prognostics and Health Management122Maas D.N.Sebem R.*Leal, Andre Bittencourtengreponame:Repositório Institucional da Udescinstname:Universidade do Estado de Santa Catarina (UDESC)instacron:UDESCinfo:eu-repo/semantics/openAccess2024-12-07T20:43:22Zoai:repositorio.udesc.br:UDESC/4003Biblioteca Digital de Teses e Dissertaçõeshttps://pergamumweb.udesc.br/biblioteca/index.phpPRIhttps://repositorio-api.udesc.br/server/oai/requestri@udesc.bropendoar:63912024-12-07T20:43:22Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC)false |
| dc.title.none.fl_str_mv |
Multilayer Architecture for Fault Diagnosis of Embedded Systems |
| title |
Multilayer Architecture for Fault Diagnosis of Embedded Systems |
| spellingShingle |
Multilayer Architecture for Fault Diagnosis of Embedded Systems Maas D.N. |
| title_short |
Multilayer Architecture for Fault Diagnosis of Embedded Systems |
| title_full |
Multilayer Architecture for Fault Diagnosis of Embedded Systems |
| title_fullStr |
Multilayer Architecture for Fault Diagnosis of Embedded Systems |
| title_full_unstemmed |
Multilayer Architecture for Fault Diagnosis of Embedded Systems |
| title_sort |
Multilayer Architecture for Fault Diagnosis of Embedded Systems |
| author |
Maas D.N. |
| author_facet |
Maas D.N. Sebem R.* Leal, Andre Bittencourt |
| author_role |
author |
| author2 |
Sebem R.* Leal, Andre Bittencourt |
| author2_role |
author author |
| dc.contributor.author.fl_str_mv |
Maas D.N. Sebem R.* Leal, Andre Bittencourt |
| description |
© 2021, Prognostics and Health Management Society. All rights reserved.This work presents a multilayer architecture for fault diagnosis in embedded systems based on formal modeling of Discrete Event Systems (DES). Most works on diagnosis of DES focus in faults of actuators, which are the devices subject to intensive wear in industry. However, embedded systems are commonly subject to cost reduction, which may increase the probability of faults in the electronic hardware. Further, in tech support of a product without a diagnosis system, it takes time to identify if the fault is in software or the electronic board. In this case, the most common solution is to replace the whole electronic board with an updated version of the code. We propose a modeling approach which includes the isolation of the source of the fault in the model, regard-ing three layers of embedded systems: software, hardware and sensors & actuators. The proposed method is applied to a home appliance refrigerator and after exhaustive practical tests with forced fault occurrences, all faults were diagnosed, precisely identifying the layer and the faulty component. The solution was then incorporated into the product manufactured in industrial scale. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021 2024-12-06T11:41:22Z |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
| dc.identifier.uri.fl_str_mv |
2153-2648 10.36001/IJPHM.2021.V12I2.3067 https://repositorio.udesc.br/handle/UDESC/4003 |
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ark:/33523/0013000005z7g |
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2153-2648 10.36001/IJPHM.2021.V12I2.3067 ark:/33523/0013000005z7g |
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https://repositorio.udesc.br/handle/UDESC/4003 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
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International Journal of Prognostics and Health Management 12 2 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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reponame:Repositório Institucional da Udesc instname:Universidade do Estado de Santa Catarina (UDESC) instacron:UDESC |
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Universidade do Estado de Santa Catarina (UDESC) |
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UDESC |
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UDESC |
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Repositório Institucional da Udesc |
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Repositório Institucional da Udesc |
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Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC) |
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ri@udesc.br |
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1848168339148374016 |