Fault detection in continuous industrial chemical processes: a new approach using the hidden markov modeling. case study (2012)
- Authors:
- Autor USP: PARK, SONG WON - EP
- Unidade: EP
- DOI: 10.1007/978-3-642-32639-4_88
- Subjects: PROCESSAMENTO DE SINAIS; PROCESSOS DE MARKOV; FALHA; BANCO DE DADOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Springer
- Publisher place: Heidelberg
- Date published: 2012
- Source:
- Título: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 7435, p. 743-752, 2012
- Conference titles: International Conference on Intelligent Data Engineering and Automated Learning
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ALMEIDA, Gustavo Matheus de e PARK, Song Won. Fault detection in continuous industrial chemical processes: a new approach using the hidden markov modeling. case study. Lecture Notes in Computer Science. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-642-32639-4_88. Acesso em: 12 fev. 2026. , 2012 -
APA
Almeida, G. M. de, & Park, S. W. (2012). Fault detection in continuous industrial chemical processes: a new approach using the hidden markov modeling. case study. Lecture Notes in Computer Science. Heidelberg: Springer. doi:10.1007/978-3-642-32639-4_88 -
NLM
Almeida GM de, Park SW. Fault detection in continuous industrial chemical processes: a new approach using the hidden markov modeling. case study [Internet]. Lecture Notes in Computer Science. 2012 ; 7435 743-752.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1007/978-3-642-32639-4_88 -
Vancouver
Almeida GM de, Park SW. Fault detection in continuous industrial chemical processes: a new approach using the hidden markov modeling. case study [Internet]. Lecture Notes in Computer Science. 2012 ; 7435 743-752.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1007/978-3-642-32639-4_88 - Análise do escoamento de gases em uma caldeira de recuperação química.parte I: mistura turbulenta de ar secundário e terciário
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Informações sobre o DOI: 10.1007/978-3-642-32639-4_88 (Fonte: oaDOI API)
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