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

Research and Development Group in Industrial Technologies (GIDTEC)

Research output: Chapter in Book/Report/Conference proceeding › 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
State	Published - 2023

Publication series

Name	Lecture Notes on Data Engineering and Communications Technologies
Volume	160

Bibliographical note

Funding Information:
Acknowledgments. This work is supported in part by the MOST Science and Technology Partnership Program (KY201802006), and National Research Base of Intelligent Manufacturing Service Chongqing Technology and Business University and the Universidad Politécnica Salesiana through the GIDTEC research group.

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

Keywords

Condition monitoring
Maintenance
Mirror technique
Vibrations

CACES Knowledge Areas

827A Industrial maintenance

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).

@inbook{ff0b24708c8c4c218b627346eacac828,

title = "Evaluation of Video Signals for Coupling Fault Detection Using the Mirror Technique",

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.",

keywords = "Condition monitoring, Maintenance, Mirror technique, Vibrations",

author = "Loaiza, \{Ren{\'a}n Xavier Montesinos\} and Sanchez, \{Ren{\'e} Vinicio\} and Cristian Carri{\'o}n and Mariela Cerrada and Diego Cabrera",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.",

year = "2023",

doi = "10.1007/978-3-031-27915-7\_90",

language = "English",

series = "Lecture Notes on Data Engineering and Communications Technologies",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "513--520",

booktitle = "Lecture Notes on Data Engineering and Communications Technologies",

address = "Germany",

}

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 in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Evaluation of Video Signals for Coupling Fault Detection Using the Mirror Technique

AU - Loaiza, Renán Xavier Montesinos

AU - Sanchez, René Vinicio

AU - Carrión, Cristian

AU - Cerrada, Mariela

AU - Cabrera, Diego

PY - 2023

Y1 - 2023

N2 - 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.

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.

KW - Condition monitoring

KW - Maintenance

KW - Mirror technique

KW - Vibrations

UR - https://www.scopus.com/pages/publications/85151511593

U2 - 10.1007/978-3-031-27915-7_90

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

M3 - Chapter

AN - SCOPUS:85151511593

T3 - Lecture Notes on Data Engineering and Communications Technologies

SP - 513

EP - 520

BT - Lecture Notes on Data Engineering and Communications Technologies

PB - Springer Science and Business Media Deutschland GmbH

ER -

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

Keywords

CACES Knowledge Areas

Access to Document

Other files and links

Fingerprint

Cite this