A Fault-Detection System Approach for the Optimization of Warship Equipment Replacement Parts Based on Operation Parameters
Systems engineering plays a key role in the naval sector, focusing on how to design, integrate, and manage complex systems throughout their life cycle; it is therefore difficult to conceive functional warships without it. To this end, specialized information systems for logistical support and the su...
| Autores: | , , , , , , , , |
|---|---|
| Formato: | artículo |
| Fecha de publicación: | 2023 |
| País: | España |
| Recursos: | Universidad Camilo José Cela (UCJC) |
| Repositorio: | Depósito Digital e-UCJC |
| OAI Identifier: | oai:repositorio.ucjc.edu:20.500.12020/1281 |
| Acesso em linha: | https://www.mdpi.com/1424-8220/23/7/3389 http://hdl.handle.net/20.500.12020/1281 https://doi.org/10.3390/s23073389 |
| Access Level: | acceso abierto |
| Palavra-chave: | Ingenierías Matemáticas y Física machine learning warship one-class Fault detection 2205 Mecánica 1209.03 Análisis de Datos |
| id |
ES_f6fb073c8b08655b2edd09f6db1ecf30 |
|---|---|
| oai_identifier_str |
oai:repositorio.ucjc.edu:20.500.12020/1281 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
A Fault-Detection System Approach for the Optimization of Warship Equipment Replacement Parts Based on Operation ParametersMichelena, ÁlvaroLópez, VíctorLamas López, FranciscoArce Fariña, ElenaMendoza García, JoséSuárez García, AndrésGarcía Espinosa, GuillermoCalvo Rolle, José LuisQuintián, HéctorIngenieríasMatemáticas y Físicamachine learningwarshipone-classFault detection2205 Mecánica1209.03 Análisis de DatosSystems engineering plays a key role in the naval sector, focusing on how to design, integrate, and manage complex systems throughout their life cycle; it is therefore difficult to conceive functional warships without it. To this end, specialized information systems for logistical support and the sustainability of material solutions are essential to ensure proper provisioning and to know the operational status of the frigate. However, based on an architecture composed of a set of logistics applications, this information system may require highly qualified operators with a deep knowledge of the behavior of onboard systems to manage it properly. In this regard, failure detection systems have been postulated as one of the main cutting-edge methods to address the challenge, employing intelligent techniques for observing anomalies in the normal behavior of systems without the need for expert knowledge. In this paper, the study is concerned to the scope of the Spanish navy, where a complex information system structure is responsible for ensuring the correct maintenance and provisioning of the vessels. In such context, we hereby suggest a comparison between different one-class techniques, such as statistical models, geometric boundaries, or dimensional reduction to face anomaly detection in specific subsystems of a warship, with the prospect of applying it to the whole ship.ISDEFECITICARMADAMINISDEFMDPI2023info:eu-repo/semantics/articlehttps://www.mdpi.com/1424-8220/23/7/3389http://hdl.handle.net/20.500.12020/1281https://doi.org/10.3390/s23073389reponame:Depósito Digital e-UCJCinstname:Universidad Camilo José Cela (UCJC)InglésED431G 2019/01info:eu-repo/semantics/openAccessoai:repositorio.ucjc.edu:20.500.12020/12812026-05-27T07:36:51Z |
| dc.title.none.fl_str_mv |
A Fault-Detection System Approach for the Optimization of Warship Equipment Replacement Parts Based on Operation Parameters |
| title |
A Fault-Detection System Approach for the Optimization of Warship Equipment Replacement Parts Based on Operation Parameters |
| spellingShingle |
A Fault-Detection System Approach for the Optimization of Warship Equipment Replacement Parts Based on Operation Parameters Michelena, Álvaro Ingenierías Matemáticas y Física machine learning warship one-class Fault detection 2205 Mecánica 1209.03 Análisis de Datos |
| title_short |
A Fault-Detection System Approach for the Optimization of Warship Equipment Replacement Parts Based on Operation Parameters |
| title_full |
A Fault-Detection System Approach for the Optimization of Warship Equipment Replacement Parts Based on Operation Parameters |
| title_fullStr |
A Fault-Detection System Approach for the Optimization of Warship Equipment Replacement Parts Based on Operation Parameters |
| title_full_unstemmed |
A Fault-Detection System Approach for the Optimization of Warship Equipment Replacement Parts Based on Operation Parameters |
| title_sort |
A Fault-Detection System Approach for the Optimization of Warship Equipment Replacement Parts Based on Operation Parameters |
| dc.creator.none.fl_str_mv |
Michelena, Álvaro López, Víctor Lamas López, Francisco Arce Fariña, Elena Mendoza García, José Suárez García, Andrés García Espinosa, Guillermo Calvo Rolle, José Luis Quintián, Héctor |
| author |
Michelena, Álvaro |
| author_facet |
Michelena, Álvaro López, Víctor Lamas López, Francisco Arce Fariña, Elena Mendoza García, José Suárez García, Andrés García Espinosa, Guillermo Calvo Rolle, José Luis Quintián, Héctor |
| author_role |
author |
| author2 |
López, Víctor Lamas López, Francisco Arce Fariña, Elena Mendoza García, José Suárez García, Andrés García Espinosa, Guillermo Calvo Rolle, José Luis Quintián, Héctor |
| author2_role |
author author author author author author author author |
| dc.subject.none.fl_str_mv |
Ingenierías Matemáticas y Física machine learning warship one-class Fault detection 2205 Mecánica 1209.03 Análisis de Datos |
| topic |
Ingenierías Matemáticas y Física machine learning warship one-class Fault detection 2205 Mecánica 1209.03 Análisis de Datos |
| description |
Systems engineering plays a key role in the naval sector, focusing on how to design, integrate, and manage complex systems throughout their life cycle; it is therefore difficult to conceive functional warships without it. To this end, specialized information systems for logistical support and the sustainability of material solutions are essential to ensure proper provisioning and to know the operational status of the frigate. However, based on an architecture composed of a set of logistics applications, this information system may require highly qualified operators with a deep knowledge of the behavior of onboard systems to manage it properly. In this regard, failure detection systems have been postulated as one of the main cutting-edge methods to address the challenge, employing intelligent techniques for observing anomalies in the normal behavior of systems without the need for expert knowledge. In this paper, the study is concerned to the scope of the Spanish navy, where a complex information system structure is responsible for ensuring the correct maintenance and provisioning of the vessels. In such context, we hereby suggest a comparison between different one-class techniques, such as statistical models, geometric boundaries, or dimensional reduction to face anomaly detection in specific subsystems of a warship, with the prospect of applying it to the whole ship. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2023 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://www.mdpi.com/1424-8220/23/7/3389 http://hdl.handle.net/20.500.12020/1281 https://doi.org/10.3390/s23073389 |
| url |
https://www.mdpi.com/1424-8220/23/7/3389 http://hdl.handle.net/20.500.12020/1281 https://doi.org/10.3390/s23073389 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
ED431G 2019/01 |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
MDPI |
| publisher.none.fl_str_mv |
MDPI |
| dc.source.none.fl_str_mv |
reponame:Depósito Digital e-UCJC instname:Universidad Camilo José Cela (UCJC) |
| instname_str |
Universidad Camilo José Cela (UCJC) |
| reponame_str |
Depósito Digital e-UCJC |
| collection |
Depósito Digital e-UCJC |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869424813974487040 |
| score |
15,300724 |