Instrumentation for capture and transmission of vibration signals

Vibration signals are generally used to detect faults in rotary machines. There are several methods to perform analysis based on these signals. A widely used methodology is Condition Based Maintenance (CBM). CBM is a scheduled maintenance that recommends actions based on the information collected. C...

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Autores Principales: Mejía Hernández, Juan Camilo, Echeverry Correa, Julian David, Alvarez Mesa, Andrés Mauricio, Orozco Gutierrez, Alvaro Angel
Formato: Artículo (Article)
Lenguaje:Español (Spanish)
Publicado: Universidad Distrital Francisco José de Caldas 2018
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Acceso en línea:http://hdl.handle.net/11349/21997
id ir-11349-21997
recordtype dspace
spelling ir-11349-219972019-09-19T21:53:52Z Instrumentation for capture and transmission of vibration signals Instrumentación para captura y transmisión de señales de vibración Mejía Hernández, Juan Camilo Echeverry Correa, Julian David Alvarez Mesa, Andrés Mauricio Orozco Gutierrez, Alvaro Angel wireless maintenance networks sensors signals vibrations inalámbricos mantenimiento redes sensores señales vibraciones. Vibration signals are generally used to detect faults in rotary machines. There are several methods to perform analysis based on these signals. A widely used methodology is Condition Based Maintenance (CBM). CBM is a scheduled maintenance that recommends actions based on the information collected. Currently, for the acquisition of vibration signals are commonly used Wireless Sensor Networks (WSNs). WSNs are network formed by a large number of sensor nodes where each node is equipped with a sensor to detect physical phenomena such as light, heat, pressure, etc. In this paper, it is proposed a robust system based on WSNs for the acquisition, storage and transmission of vibrations signals, which combine a condition mechanism, a central card and a device for wireless transmition. The proposed system performs all the tasks mentioned above automatically and precisely for two vibration signals and one velocity signal Las señales de vibración son usadas generalmente para detectar fallos en máquinas rotativas. En la actualidad existen diferentes metodologías para realizar análisis basado en dichas señales. Una metodología usada extensamente es el Mantenimiento Basado en Condición (CBM). CBM es un mantenimiento programado que recomienda acciones basadas en información recolectada. Actualmente, para la adquisición de señales de vibración se usan comúnmente Redes de Sensores Inalámbricos (WSNs por sus siglas en ingles). Los WSNs son redes formadas por una cierta cantidad de nodos, cada nodo está equipado con un sensor para identificar un fenómeno físico como la luz, presión, temperatura, etc. En este artículo, se propone un robusto sistema basado en WSNs para la adquisición, almacenamiento y transmisión de señales de vibración, el cual combina un mecanismo de acondicionamiento, una tarjeta central y un dispositivo para la transmisión inalámbrica. El sistema propuesto cumple todas las funciones anteriores de manera automática y precisa para dos señales de vibración y una señal de velocidad. 2018-11-08 2019-09-19T21:53:52Z 2019-09-19T21:53:52Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://revistas.udistrital.edu.co/index.php/visele/article/view/14069 10.14483/22484728.14069 http://hdl.handle.net/11349/21997 spa https://revistas.udistrital.edu.co/index.php/visele/article/view/14069/14263 Derechos de autor 2018 Visión electrónica https://creativecommons.org/licenses/by-nc-nd/4.0 application/pdf Universidad Distrital Francisco José de Caldas Visión electrónica; Vol 12 No 2 (2018); 189-197 Visión electrónica; Vol. 12 Núm. 2 (2018); 189-197 2248-4728 1909-9746
institution Universidad Distrital Francisco José de Caldas
collection DSpace
language Español (Spanish)
topic wireless
maintenance
networks
sensors
signals
vibrations
inalámbricos
mantenimiento
redes
sensores
señales
vibraciones.
spellingShingle wireless
maintenance
networks
sensors
signals
vibrations
inalámbricos
mantenimiento
redes
sensores
señales
vibraciones.
Mejía Hernández, Juan Camilo
Echeverry Correa, Julian David
Alvarez Mesa, Andrés Mauricio
Orozco Gutierrez, Alvaro Angel
Instrumentation for capture and transmission of vibration signals
description Vibration signals are generally used to detect faults in rotary machines. There are several methods to perform analysis based on these signals. A widely used methodology is Condition Based Maintenance (CBM). CBM is a scheduled maintenance that recommends actions based on the information collected. Currently, for the acquisition of vibration signals are commonly used Wireless Sensor Networks (WSNs). WSNs are network formed by a large number of sensor nodes where each node is equipped with a sensor to detect physical phenomena such as light, heat, pressure, etc. In this paper, it is proposed a robust system based on WSNs for the acquisition, storage and transmission of vibrations signals, which combine a condition mechanism, a central card and a device for wireless transmition. The proposed system performs all the tasks mentioned above automatically and precisely for two vibration signals and one velocity signal
format Artículo (Article)
author Mejía Hernández, Juan Camilo
Echeverry Correa, Julian David
Alvarez Mesa, Andrés Mauricio
Orozco Gutierrez, Alvaro Angel
author_facet Mejía Hernández, Juan Camilo
Echeverry Correa, Julian David
Alvarez Mesa, Andrés Mauricio
Orozco Gutierrez, Alvaro Angel
author_sort Mejía Hernández, Juan Camilo
title Instrumentation for capture and transmission of vibration signals
title_short Instrumentation for capture and transmission of vibration signals
title_full Instrumentation for capture and transmission of vibration signals
title_fullStr Instrumentation for capture and transmission of vibration signals
title_full_unstemmed Instrumentation for capture and transmission of vibration signals
title_sort instrumentation for capture and transmission of vibration signals
publisher Universidad Distrital Francisco José de Caldas
publishDate 2018
url http://hdl.handle.net/11349/21997
_version_ 1712444258184593408
score 12,131701