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Implementation of nonintrusive monitoring and fault diagnosis in industrial robot system

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Implementation of nonintrusive monitoring and fault diagnosis in industrial robot system. / Jokinen, Jani; Martinez Lastra, Jose L.

Proceedings of IEEE 14th International Conference on Industrial Informatics, INDIN 2016. IEEE, 2016. p. 457-462 (IEEE International Conference on Industrial Informatics).

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

Harvard

Jokinen, J & Martinez Lastra, JL 2016, Implementation of nonintrusive monitoring and fault diagnosis in industrial robot system. in Proceedings of IEEE 14th International Conference on Industrial Informatics, INDIN 2016. IEEE International Conference on Industrial Informatics, IEEE, pp. 457-462, IEEE International Conference on Industrial Informatics, 1/01/00. https://doi.org/10.1109/INDIN.2016.7819204

APA

Jokinen, J., & Martinez Lastra, J. L. (2016). Implementation of nonintrusive monitoring and fault diagnosis in industrial robot system. In Proceedings of IEEE 14th International Conference on Industrial Informatics, INDIN 2016 (pp. 457-462). (IEEE International Conference on Industrial Informatics). IEEE. https://doi.org/10.1109/INDIN.2016.7819204

Vancouver

Jokinen J, Martinez Lastra JL. Implementation of nonintrusive monitoring and fault diagnosis in industrial robot system. In Proceedings of IEEE 14th International Conference on Industrial Informatics, INDIN 2016. IEEE. 2016. p. 457-462. (IEEE International Conference on Industrial Informatics). https://doi.org/10.1109/INDIN.2016.7819204

Author

Jokinen, Jani ; Martinez Lastra, Jose L. / Implementation of nonintrusive monitoring and fault diagnosis in industrial robot system. Proceedings of IEEE 14th International Conference on Industrial Informatics, INDIN 2016. IEEE, 2016. pp. 457-462 (IEEE International Conference on Industrial Informatics).

Bibtex - Download

@inproceedings{c95182f700654c24906f2959d0263477,
title = "Implementation of nonintrusive monitoring and fault diagnosis in industrial robot system",
abstract = "Monitoring and fault diagnosis systems are vital for industrial robot systems for better awareness of system status and shortening the down time. In many cases, the monitoring systems are not upgraded after the robot first installation, because the modifications could cause undesired disturbance for the production. However, for better monitoring and diagnostics rich information is essential that typically requires additional sensors and modifications to the robot system. This paper proposes a monitoring system that is possible to add-on to existing industrial robot system without any changes into the existing control and safety system. The statuses of all safety guard components are indirectly collected by optical sensors to ensure that safety aspects are maintained. The energy consumptions of the main components are monitored with energy analyser and nonintrusive current transformers. The proposed system also uses wireless technology for simplifying the installation. The main benefits of proposed solution are rapid deployment, easy scalability and enhanced fault diagnosis of the main components of the system.",
author = "Jani Jokinen and {Martinez Lastra}, {Jose L.}",
year = "2016",
doi = "10.1109/INDIN.2016.7819204",
language = "English",
isbn = "978-1-5090-2869-6",
series = "IEEE International Conference on Industrial Informatics",
publisher = "IEEE",
pages = "457--462",
booktitle = "Proceedings of IEEE 14th International Conference on Industrial Informatics, INDIN 2016",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Implementation of nonintrusive monitoring and fault diagnosis in industrial robot system

AU - Jokinen, Jani

AU - Martinez Lastra, Jose L.

PY - 2016

Y1 - 2016

N2 - Monitoring and fault diagnosis systems are vital for industrial robot systems for better awareness of system status and shortening the down time. In many cases, the monitoring systems are not upgraded after the robot first installation, because the modifications could cause undesired disturbance for the production. However, for better monitoring and diagnostics rich information is essential that typically requires additional sensors and modifications to the robot system. This paper proposes a monitoring system that is possible to add-on to existing industrial robot system without any changes into the existing control and safety system. The statuses of all safety guard components are indirectly collected by optical sensors to ensure that safety aspects are maintained. The energy consumptions of the main components are monitored with energy analyser and nonintrusive current transformers. The proposed system also uses wireless technology for simplifying the installation. The main benefits of proposed solution are rapid deployment, easy scalability and enhanced fault diagnosis of the main components of the system.

AB - Monitoring and fault diagnosis systems are vital for industrial robot systems for better awareness of system status and shortening the down time. In many cases, the monitoring systems are not upgraded after the robot first installation, because the modifications could cause undesired disturbance for the production. However, for better monitoring and diagnostics rich information is essential that typically requires additional sensors and modifications to the robot system. This paper proposes a monitoring system that is possible to add-on to existing industrial robot system without any changes into the existing control and safety system. The statuses of all safety guard components are indirectly collected by optical sensors to ensure that safety aspects are maintained. The energy consumptions of the main components are monitored with energy analyser and nonintrusive current transformers. The proposed system also uses wireless technology for simplifying the installation. The main benefits of proposed solution are rapid deployment, easy scalability and enhanced fault diagnosis of the main components of the system.

U2 - 10.1109/INDIN.2016.7819204

DO - 10.1109/INDIN.2016.7819204

M3 - Conference contribution

SN - 978-1-5090-2869-6

T3 - IEEE International Conference on Industrial Informatics

SP - 457

EP - 462

BT - Proceedings of IEEE 14th International Conference on Industrial Informatics, INDIN 2016

PB - IEEE

ER -