A new scheme for fault detection and classification applied to DC motor
| dc.creator | Laércio Ives Santos | |
| dc.creator | Reinaldo Martinez Palhares | |
| dc.creator | Marcos Flávio Silveira Vasconcelos D'Angelo | |
| dc.creator | Petr Yakovlevitch Ekel | |
| dc.date.accessioned | 2025-04-25T13:20:20Z | |
| dc.date.accessioned | 2025-09-08T23:04:35Z | |
| dc.date.available | 2025-04-25T13:20:20Z | |
| dc.date.issued | 2018 | |
| dc.identifier.doi | https://doi.org/10.5540/tema.2018.019.02.0327 | |
| dc.identifier.issn | 2179-8451 | |
| dc.identifier.uri | https://hdl.handle.net/1843/81843 | |
| dc.language | eng | |
| dc.publisher | Universidade Federal de Minas Gerais | |
| dc.relation.ispartof | TEMA | |
| dc.rights | Acesso Aberto | |
| dc.subject | Controle de processos - Automação | |
| dc.subject | Engenharia Mecânica | |
| dc.subject | Controle de Processos | |
| dc.subject | Inteligência Computacional | |
| dc.subject.other | Fault Detection and Classification 1 | |
| dc.subject.other | Luenberger Observer 2 | |
| dc.subject.other | Particle Swarm Clustering 3 | |
| dc.title | A new scheme for fault detection and classification applied to DC motor | |
| dc.type | Artigo de periódico | |
| local.citation.epage | 345 | |
| local.citation.spage | 327 | |
| local.citation.volume | 19 | |
| local.description.resumo | This study presents an approach for fault detection and classification in a DC drive system. The fault is detected by a classical Luenberger observer. After the fault detection, the fault classification is started. The fault classification, the main contribution of this paper, is based on a representation which combines the Subctrative Clustering algorithm with an adaptation of Particle Swarm Clustering. | |
| local.publisher.country | Brasil | |
| local.publisher.department | ENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA | |
| local.publisher.initials | UFMG | |
| local.url.externa | https://www.scielo.br/j/tema/a/syRTxnR9KbH3fgKNBscrPMN/?lang=en |