Multilayer Architecture for Fault Diagnosis of Embedded Systems

Bibliographic Details
Main Author: Maas D.N.
Publication Date: 2021
Other Authors: Sebem R.*, Leal, Andre Bittencourt
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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spelling 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
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv 2153-2648
10.36001/IJPHM.2021.V12I2.3067
https://repositorio.udesc.br/handle/UDESC/4003
dc.identifier.dark.fl_str_mv ark:/33523/0013000005z7g
identifier_str_mv 2153-2648
10.36001/IJPHM.2021.V12I2.3067
ark:/33523/0013000005z7g
url https://repositorio.udesc.br/handle/UDESC/4003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Journal of Prognostics and Health Management
12
2
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eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da Udesc
instname:Universidade do Estado de Santa Catarina (UDESC)
instacron:UDESC
instname_str Universidade do Estado de Santa Catarina (UDESC)
instacron_str UDESC
institution UDESC
reponame_str Repositório Institucional da Udesc
collection Repositório Institucional da Udesc
repository.name.fl_str_mv Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC)
repository.mail.fl_str_mv ri@udesc.br
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