http://repositorio.unb.br/handle/10482/12761
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ARTIGO_False-AlarmNon-Detection.pdf | 96,9 kB | Adobe PDF | Visualizar/Abrir |
Título: | False-alarm and non-detection probabilities for on-line quality control via HMM |
Autor(es): | Dorea, Chang Chung Yu Gonçalves, Cátia Regina Medeiros, Pledson Guedes de Santos, Walter Batista dos |
Assunto: | Análise numérica Processo estocástico Processos de Markov Processos de Markov - soluções numéricas |
Data de publicação: | 2012 |
Editora: | Hikari Ltd |
Referência: | DOREA, C. C. Y. et al. False-alarm and non-detection probabilities for on-line quality control via HMM. International Journal of Mathematical Analysis, v. 6, n. 24, 2012. Disponível em: <http://www.m-hikari.com/ijma/ijma-2012/ijma-21-24-2012/doreaIJMA21-24-2012.pdf>. Acesso em: 22 mar. 2013. |
Resumo: | On-line quality control during production calls for monitoring produced items according to some prescribed strategy. It is reasonable to assume the existence of system internal non-observable variables so that the carried out monitoring is only partially reliable. In this note, under the setting of a Hidden Markov Model (HMM) and assuming that the evolution of the internal state changes are governed by a two-state Markov chain, we derive estimates for false-alarm and non-detection malfunctioning probabilities. Kernel density methods are used to approximate the stable regime density and the stationary probabilities. As a side result, alternative monitoring strategies are proposed. |
Licença: | International Journal Of Mathematical Analysis – Esta licenciada com uma licença Creative Commons (Attribution 3.0 Unported (CC BY 3.0)). Fonte: http://www.m-hikari.com/ijma/index.html. Acesso em: 22 mar. 2013. |
Aparece nas coleções: | Artigos publicados em periódicos e afins UnB - Professores Eméritos |
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