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Embedded service oriented monitoring, diagnostics and control: towards the asset-aware and self-recovery factory

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Embedded service oriented monitoring, diagnostics and control: towards the asset-aware and self-recovery factory. / Vidales Ramos, Axel; Delamer, Ivan M.; Martinez Lastra, Jose L.

IEEE 9th International Conference on Industrial Informatics, INDIN 2011, 26-29 July, 2011, Caparica, Lisbon, Portugal. Piscataway, NJ : IEEE, 2011. p. 497-502 (International Conference on Industrial Informatics INDIN).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Vidales Ramos, A, Delamer, IM & Martinez Lastra, JL 2011, Embedded service oriented monitoring, diagnostics and control: towards the asset-aware and self-recovery factory. in IEEE 9th International Conference on Industrial Informatics, INDIN 2011, 26-29 July, 2011, Caparica, Lisbon, Portugal. International Conference on Industrial Informatics INDIN, IEEE, Piscataway, NJ, pp. 497-502. https://doi.org/10.1109/INDIN.2011.6034930

APA

Vidales Ramos, A., Delamer, I. M., & Martinez Lastra, J. L. (2011). Embedded service oriented monitoring, diagnostics and control: towards the asset-aware and self-recovery factory. In IEEE 9th International Conference on Industrial Informatics, INDIN 2011, 26-29 July, 2011, Caparica, Lisbon, Portugal (pp. 497-502). (International Conference on Industrial Informatics INDIN). Piscataway, NJ: IEEE. https://doi.org/10.1109/INDIN.2011.6034930

Vancouver

Vidales Ramos A, Delamer IM, Martinez Lastra JL. Embedded service oriented monitoring, diagnostics and control: towards the asset-aware and self-recovery factory. In IEEE 9th International Conference on Industrial Informatics, INDIN 2011, 26-29 July, 2011, Caparica, Lisbon, Portugal. Piscataway, NJ: IEEE. 2011. p. 497-502. (International Conference on Industrial Informatics INDIN). https://doi.org/10.1109/INDIN.2011.6034930

Author

Vidales Ramos, Axel ; Delamer, Ivan M. ; Martinez Lastra, Jose L. / Embedded service oriented monitoring, diagnostics and control: towards the asset-aware and self-recovery factory. IEEE 9th International Conference on Industrial Informatics, INDIN 2011, 26-29 July, 2011, Caparica, Lisbon, Portugal. Piscataway, NJ : IEEE, 2011. pp. 497-502 (International Conference on Industrial Informatics INDIN).

Bibtex - Download

@inproceedings{bbce9216ef1c4077a212b7576876c10e,
title = "Embedded service oriented monitoring, diagnostics and control: towards the asset-aware and self-recovery factory",
abstract = "In Europe, the manufacturing sector represents nearly the 22{\%} of the GDP. Since the beginning of the European Technology Platform MANUFUTURE, Service Oriented Architecture have become the de facto in the industrial informatics research community. In most cases, SOA is implemented by using Web Service technology based on RESTful services or WS-* standards. Several publications have shown the advantages of WS technologies in Factory Automation e.g. enterprise integration, monitoring and control, real-time decision taking, maintenance scheduling, and reconfiguration. Monitoring has become an effortless task, leading to massive data to be processed in order to present a diagnostic i.e. asset-awareness. Further, once problems are identified, an automatic self-recovery mechanism should be provided in order to minimize loses. This paper introduce the eSONIA project which aims to improve the flow of information, rather than raw data, in the factory floor by enhancing the system awareness and granting self-recovery to the factory. To achieve this goal, eSONIA uses pervasive heterogeneous embedded devices intercommunicated with WS technologies over IPv6.",
author = "{Vidales Ramos}, Axel and Delamer, {Ivan M.} and {Martinez Lastra}, {Jose L.}",
note = "Contribution: organisation=tte,FACT1=1",
year = "2011",
doi = "10.1109/INDIN.2011.6034930",
language = "English",
isbn = "978-1-4577-0435-2",
series = "International Conference on Industrial Informatics INDIN",
publisher = "IEEE",
pages = "497--502",
booktitle = "IEEE 9th International Conference on Industrial Informatics, INDIN 2011, 26-29 July, 2011, Caparica, Lisbon, Portugal",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Embedded service oriented monitoring, diagnostics and control: towards the asset-aware and self-recovery factory

AU - Vidales Ramos, Axel

AU - Delamer, Ivan M.

AU - Martinez Lastra, Jose L.

N1 - Contribution: organisation=tte,FACT1=1

PY - 2011

Y1 - 2011

N2 - In Europe, the manufacturing sector represents nearly the 22% of the GDP. Since the beginning of the European Technology Platform MANUFUTURE, Service Oriented Architecture have become the de facto in the industrial informatics research community. In most cases, SOA is implemented by using Web Service technology based on RESTful services or WS-* standards. Several publications have shown the advantages of WS technologies in Factory Automation e.g. enterprise integration, monitoring and control, real-time decision taking, maintenance scheduling, and reconfiguration. Monitoring has become an effortless task, leading to massive data to be processed in order to present a diagnostic i.e. asset-awareness. Further, once problems are identified, an automatic self-recovery mechanism should be provided in order to minimize loses. This paper introduce the eSONIA project which aims to improve the flow of information, rather than raw data, in the factory floor by enhancing the system awareness and granting self-recovery to the factory. To achieve this goal, eSONIA uses pervasive heterogeneous embedded devices intercommunicated with WS technologies over IPv6.

AB - In Europe, the manufacturing sector represents nearly the 22% of the GDP. Since the beginning of the European Technology Platform MANUFUTURE, Service Oriented Architecture have become the de facto in the industrial informatics research community. In most cases, SOA is implemented by using Web Service technology based on RESTful services or WS-* standards. Several publications have shown the advantages of WS technologies in Factory Automation e.g. enterprise integration, monitoring and control, real-time decision taking, maintenance scheduling, and reconfiguration. Monitoring has become an effortless task, leading to massive data to be processed in order to present a diagnostic i.e. asset-awareness. Further, once problems are identified, an automatic self-recovery mechanism should be provided in order to minimize loses. This paper introduce the eSONIA project which aims to improve the flow of information, rather than raw data, in the factory floor by enhancing the system awareness and granting self-recovery to the factory. To achieve this goal, eSONIA uses pervasive heterogeneous embedded devices intercommunicated with WS technologies over IPv6.

U2 - 10.1109/INDIN.2011.6034930

DO - 10.1109/INDIN.2011.6034930

M3 - Conference contribution

SN - 978-1-4577-0435-2

T3 - International Conference on Industrial Informatics INDIN

SP - 497

EP - 502

BT - IEEE 9th International Conference on Industrial Informatics, INDIN 2011, 26-29 July, 2011, Caparica, Lisbon, Portugal

PB - IEEE

CY - Piscataway, NJ

ER -