Browsing by Author "cb3a397d-225c-42c0-9e2a-e62b8ad63dc0"
Now showing items 21-27 of 27
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Non stationary demand forecasting based on empirical mode decomposition and support vector machines da Silva, I. D.; Moura, M. C.; Lins, I. D.; López Droguett, Enrique; Braga, E. (IEEE, 2017)A company performance strongly depends on its ability of delivering the right quantity of of a given product at the time customers require. Even though some demand forecasting techniques have been developed, they have ...
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Pascual, Rodrigo; Siña, Matías; Santelices, Gabriel; Román, Milton; López Droguett, Enrique (Taylor & Francis, 2017)Nowadays, service economy efficiencies are key to keep competitiveness and increase market advantages. The development of Product-Service Systems (PSS) can be an interesting strategy as they seek to improve the business ...
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Souza Vidal de Negreiros, Ana Cláudia; Didier Lins, Isis; das Chagas Moura, Márcio José; López Droguett, Enrique (Elsevier, 2020)Maintenance-related decisions are often based on the expected number of interventions during a specified period of time. The proper estimation of this quantity relies on the choice of the probabilistic model that best fits ...
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Abílio Ramos, Marilia; López Droguett, Enrique; Mosleh, Ali; das Chagas Moura, Marcio; Ramos Martins, Marcelo (Wiley, 2017)Despite the oil industry's efforts in improving safety, it still presents a high rate of serious accidents, many involving human failure events (HFE), which can be identified, modelled, and quantified through human reliability ...
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López Droguett, Enrique; Tapia, Juan; Yáñez, Claudio; Boroschek Krauskopf, Rubén (Sage, 2020)Computer vision algorithms are powerful techniques that can be used for remotely monitoring and inspecting civil structures. Detecting and segmenting cracks in images of concrete bridges can provide useful information ...
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Sales Filho, Romero L. M.; López Droguett, Enrique; Lins, Isis D.; Moura, Márcio C.; Amiri, Mehdi; Azevedo, Rafael Valença (Wiley, 2017)When dealing with practical problems of stress-strength reliability, one can work with fatigue life data and make use of the well-known relation between stress and cycles until failure. For some materials, this kind of ...
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RuÍz-Tagle Palazuelos, Andrés; López Droguett, Enrique (SAGE, 2020)Sensing technologies have been used to gather massive amounts of data to improve system reliability analysis with the use of deep learning. Their use has been mainly focused on specific components or for the whole system, ...