Evaluation of Video Signals for Coupling Fault Detection Using the Mirror Technique

Renán Xavier Montesinos Loaiza; René Vinicio Sanchez; Cristian Carrión; Mariela Cerrada; Diego Cabrera

doi:10.1007/978-3-031-27915-7_90

Evaluation of Video Signals for Coupling Fault Detection Using the Mirror Technique

Renán Xavier Montesinos Loaiza
, René Vinicio Sanchez
, Cristian Carrión
, Mariela Cerrada
, Diego Cabrera

Grupo de Investigación y Desarrollo en Tecnologías Industriales (GIDTEC)

Research output: Chapter › peer-review

Abstract

This study presents the evaluation of video signals for coupling fault detection using the mirror technique. The characterization of the mirror technique in video signal processing is key to establish the methodologies proposed in this study; the first one deals with the acquisition and processing of signals and the second one allows to evaluate the video signal technique regarding to the traditional technique which is the vibration monitoring through of contact sensors. The results obtained allow to consider that the mirror technique within the condition monitoring, with the appropriate methodology allows the reproducibility of data acquisition and processing, to issue a diagnosis of the machine condition and avoid unscheduled stops in the plant production.

Original language	English
Title of host publication	Lecture Notes on Data Engineering and Communications Technologies
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	513-520
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-031-27915-7_90
Publication status	Published - 2023

Publication series

Name	Lecture Notes on Data Engineering and Communications Technologies
Volume	160

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Areas de Conocimiento del CACES

827A Mantenimiento industrial

Access to Document

10.1007/978-3-031-27915-7_90

Cite this

Loaiza, R. X. M., Sanchez, R. V., Carrión, C., Cerrada, M., & Cabrera, D. (2023). Evaluation of Video Signals for Coupling Fault Detection Using the Mirror Technique. In Lecture Notes on Data Engineering and Communications Technologies (pp. 513-520). (Lecture Notes on Data Engineering and Communications Technologies; Vol. 160). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-27915-7_90

Loaiza, Renán Xavier Montesinos ; Sanchez, René Vinicio ; Carrión, Cristian et al. / Evaluation of Video Signals for Coupling Fault Detection Using the Mirror Technique. Lecture Notes on Data Engineering and Communications Technologies. Springer Science and Business Media Deutschland GmbH, 2023. pp. 513-520 (Lecture Notes on Data Engineering and Communications Technologies).

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abstract = "This study presents the evaluation of video signals for coupling fault detection using the mirror technique. The characterization of the mirror technique in video signal processing is key to establish the methodologies proposed in this study; the first one deals with the acquisition and processing of signals and the second one allows to evaluate the video signal technique regarding to the traditional technique which is the vibration monitoring through of contact sensors. The results obtained allow to consider that the mirror technique within the condition monitoring, with the appropriate methodology allows the reproducibility of data acquisition and processing, to issue a diagnosis of the machine condition and avoid unscheduled stops in the plant production.",

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Loaiza, RXM, Sanchez, RV, Carrión, C, Cerrada, M & Cabrera, D 2023, Evaluation of Video Signals for Coupling Fault Detection Using the Mirror Technique. in Lecture Notes on Data Engineering and Communications Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol. 160, Springer Science and Business Media Deutschland GmbH, pp. 513-520. https://doi.org/10.1007/978-3-031-27915-7_90

Evaluation of Video Signals for Coupling Fault Detection Using the Mirror Technique. / Loaiza, Renán Xavier Montesinos; Sanchez, René Vinicio; Carrión, Cristian et al.
Lecture Notes on Data Engineering and Communications Technologies. Springer Science and Business Media Deutschland GmbH, 2023. p. 513-520 (Lecture Notes on Data Engineering and Communications Technologies; Vol. 160).

Research output: Chapter › peer-review

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AU - Loaiza, Renán Xavier Montesinos

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AU - Carrión, Cristian

AU - Cerrada, Mariela

AU - Cabrera, Diego

PY - 2023

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AB - This study presents the evaluation of video signals for coupling fault detection using the mirror technique. The characterization of the mirror technique in video signal processing is key to establish the methodologies proposed in this study; the first one deals with the acquisition and processing of signals and the second one allows to evaluate the video signal technique regarding to the traditional technique which is the vibration monitoring through of contact sensors. The results obtained allow to consider that the mirror technique within the condition monitoring, with the appropriate methodology allows the reproducibility of data acquisition and processing, to issue a diagnosis of the machine condition and avoid unscheduled stops in the plant production.

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KW - Maintenance

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KW - Vibrations

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Loaiza RXM, Sanchez RV, Carrión C, Cerrada M, Cabrera D. Evaluation of Video Signals for Coupling Fault Detection Using the Mirror Technique. In Lecture Notes on Data Engineering and Communications Technologies. Springer Science and Business Media Deutschland GmbH. 2023. p. 513-520. (Lecture Notes on Data Engineering and Communications Technologies). doi: 10.1007/978-3-031-27915-7_90

Evaluation of Video Signals for Coupling Fault Detection Using the Mirror Technique

Abstract

Publication series

Bibliographical note

Areas de Conocimiento del CACES

Access to Document

Other files and links

Monitoreo Inteligente de la Condición de Maquinaria Rotativa Mediante la Fusión de Señales de Audio, Emisión Acústica, Vibración y Corriente

Cite this

Evaluation of Video Signals for Coupling Fault Detection Using the Mirror Technique

Abstract

Publication series

Bibliographical note

Areas de Conocimiento del CACES

Access to Document

Other files and links

Projects

Monitoreo Inteligente de la Condición de Maquinaria Rotativa Mediante la Fusión de Señales de Audio, Emisión Acústica, Vibración y Corriente

Cite this