Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/1898
Título: A high level e-maintenance architecture to support on-site teams
Autor: Ribeiro, Luís
Barata, José
Silvério, Nelson
Palavras-chave: Manufacturing systems
Platform technologies
Maintenance
Data: Nov-2008
Editora: IET
Citação: Ribeiro, L.; Barata, J.; Silvério, N. (2008): "A high level e-maintenance architecture to support on-site teams", Enterprise and Work Innovation Studies, 4, Monte de Caparica, IET, pp. 129-138
Resumo: Emergent architectures and paradigms targeting reconfigurable manufacturing systems increasingly rely on intelligent modules to maximize the robustness and responsiveness of modern installations. Although intelligent behaviour significantly minimizes the occurrence of faults and breakdowns it does not exclude them nor can prevent equipment’s normal wear. Adequate maintenance is fundamental to extend equipments’ life cycle. It is of major importance the ability of each intelligent device to take an active role in maintenance support. Further this paradigm shift towards “embedded intelligence”, supported by cross platform technologies, induces relevant organizational and functional changes on local maintenance teams. On the one hand, the possibility of outsourcing maintenance activities, with the warranty of a timely response, through the use of pervasive networking technologies and, on the other hand, the optimization of local maintenance staff are some examples of how IT is changing the scenario in maintenance. The concept of e-maintenance is, in this context, emerging as a new discipline with defined socio-economic challenges. This paper proposes a high level maintenance architecture supporting maintenance teams’ management and offering contextualized operational support. All the functionalities hosted by the architecture are offered to the remaining system as network services. Any intelligent module, implementing the services’ interface, can report diagnostic, prognostic and maintenance recommendations that enable the core of the platform to decide on the best course of action.
URI: http://hdl.handle.net/10362/1898
ISSN: 1646-1223
Aparece nas colecções:FCT: IET - Enterprise and Work Innovation Studies

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