| 1. Identificação | ||||
| Tipo de Referência | Artigo em Revista Científica (Journal Article) | |||
| Site | mtc-m21c.sid.inpe.br | |||
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identificador | 8JMKD3MGP3W34R/43MMU3L | |||
| Repositório | sid.inpe.br/mtc-m21c/2020/12.02.13.24 | |||
| Repositório de Metadados | sid.inpe.br/mtc-m21c/2020/12.02.13.24.50 | |||
| Última Atualização dos Metadados | 2022:01.04.01.35.40 (UTC) administrator | |||
| DOI | 10.4271/2019-36-0264 | |||
| ISSN | 0148-7191 | |||
| Chave de Citação | PortoSouz:2020:DiAlHe | |||
| Título | A discussion on algorithms for health monitoring, fault prognosis and RUL prediction of aerospace and automotive equipment  | |||
| Ano | 2020 | |||
| Data de Acesso | 13 maio 2024 | |||
| Tipo de Trabalho | conference paper | |||
| Tipo Secundário | PRE PN | |||
| 2. Contextualização | ||||
| Autor | 1 Porto, Roberta de Cassia Ferreira 2 Souza, Marcelo Lopes de Oliveira e | |||
| Identificador de Curriculo | 1 2 8JMKD3MGP5W/3C9JHP4 | |||
| Grupo | 1 CSE-ETES-SESPG-INPE-MCTIC-GOV-BR 2 DIDSE-CGETE-INPE-MCTIC-GOV-BR | |||
| Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Revista | SAE Technical Papers | |||
| Volume | 2020 | |||
| Nota Secundária | B4_INTERDISCIPLINAR B4_ARQUITETURA_E_URBANISMO B5_MATERIAIS B5_ENGENHARIAS_II B5_ENGENHARIAS_I B5_CIÊNCIAS_AGRÁRIAS_I C_ENGENHARIAS_III C_ASTRONOMIA_/_FÍSICA | |||
| Histórico (UTC) | 2020-12-02 13:24:50 :: simone -> administrator :: 2020-12-02 13:24:52 :: administrator -> simone :: 2020 2020-12-02 13:25:12 :: simone -> administrator :: 2020 2022-01-04 01:35:40 :: administrator -> simone :: 2020 | |||
| 3. Conteúdo e estrutura | ||||
| É a matriz ou uma cópia? | é a matriz | |||
| Estágio do Conteúdo | concluido | |||
| Transferível | 1 | |||
| Tipo do Conteúdo | External Contribution | |||
| Resumo | Companies are gradually developing: 1) complex and/or highly integrated systems including vehicles (as satellites, airplanes, cars, etc.) or equipment (as computers, cell phones, no breaks, etc.) to use under 2) increasingly varied or inhospitable environments, and to survive under 3) increasingly long life cycles and unavoidable changes in staff & facilities & technologies. The overall decision to use (by time, cost, quality, of functions, services, etc.) such end systems under 2 require 4) high Dependability (Reliability, Maintainability, Availability, Correction, Safety, Security, etc.) of them. The overall survival in use (by health monitoring, housekeeping, retrofit, upgrade, etc.) of such end systems under 3 require 5) high Suportability (Maintainability, Adaptability, Availability, Robustness, etc.) of them coupled with the support systems. To meet the requirements and expectations 4 and 5, there is a need to even treat a growing number of faults, arising from 1, 2 and 3 in components, equipment, subsystems or systems used. In particular, health monitoring, fault prognosis and Remaining Useful Life (RUL) prediction have been used to reach 4 and 5 and treat faults in a priori but informed manner. Currently, electromechanical and electrochemical equipment are among the faultiest ones in aerospace and automotive systems. The faults of these equipment can cause decreased performance, operational damage and/or even failures, especially in space systems, since these hardly allow maintenance. So: This paper presents a discussion on algorithms for health monitoring, fault prognosis and RUL prediction of aerospace and automotive equipment. To do that, it: 1) reviews the literature for health monitoring, fault prognosis and RUL prediction; selects their usual repertoire of faults; 3) highlights some algorithms to treat them; 4) discuss their pros and cons; 5) comment on some cases of electromechanical and electrochemical equipment reported in the literature. Based on all of this, we expect to show: 1) the adequacy, difficulties and uncertainties in testing and validating such algorithms; and 2) the benefits of health monitoring, fault prognosis and RUL prediction of aerospace and automotive equipment for: a) analysis and anticipation of faults; b) improved dependability, supportability of the respective systems and of the overall decision to use and survival in use of them; c) assistance in sustainable mobility. | |||
| Área | ETES | |||
| Arranjo 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CSE > A discussion on... | |||
| Arranjo 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSE > A discussion on... | |||
| Conteúdo da Pasta doc | não têm arquivos | |||
| Conteúdo da Pasta source | não têm arquivos | |||
| Conteúdo da Pasta agreement |
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| 4. Condições de acesso e uso | ||||
| Idioma | en | |||
| Grupo de Usuários | simone | |||
| Grupo de Leitores | administrator simone | |||
| Visibilidade | shown | |||
| Política de Arquivamento | denypublisher denyfinaldraft | |||
| Permissão de Leitura | deny from all and allow from 150.163 | |||
| Permissão de Atualização | não transferida | |||
| 5. Fontes relacionadas | ||||
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3F35BSP 8JMKD3MGPCW/446AUSL | |||
| Acervo Hospedeiro | urlib.net/www/2017/11.22.19.04 | |||
| 6. Notas | ||||
| Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress electronicmailaddress format isbn keywords label lineage mark mirrorrepository month nextedition notes number numberoffiles orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle size sponsor subject targetfile tertiarymark tertiarytype url versiontype | |||
| 7. Controle da descrição | ||||
| e-Mail (login) | simone | |||
| atualizar | ||||