Inspection Robotic UGV Platform and the Procedure for an Acoustic Signal-Based Fault Detection in Belt Conveyor Idler

Belt conveyors are commonly used for the transportation of bulk materials. The most characteristic design feature is the fact that thousands of idlers are supporting the moving belt. One of the critical elements of the idler is the rolling element bearing, which requires monitoring and diagnostics t...

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Autores principales:	Hamid Shiri, Jacek Wodecki, Bartłomiej Ziętek, Radosław Zimroz
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	rolling element bearing damage idler belt conveyor sound signal processing Technology T
Acceso en línea:	https://doaj.org/article/3f40ec7159ed43f3ab073929e52ba141
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id	oai:doaj.org-article:3f40ec7159ed43f3ab073929e52ba141
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spelling	oai:doaj.org-article:3f40ec7159ed43f3ab073929e52ba1412021-11-25T17:27:31ZInspection Robotic UGV Platform and the Procedure for an Acoustic Signal-Based Fault Detection in Belt Conveyor Idler10.3390/en142276461996-1073https://doaj.org/article/3f40ec7159ed43f3ab073929e52ba1412021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/22/7646https://doaj.org/toc/1996-1073Belt conveyors are commonly used for the transportation of bulk materials. The most characteristic design feature is the fact that thousands of idlers are supporting the moving belt. One of the critical elements of the idler is the rolling element bearing, which requires monitoring and diagnostics to prevent potential failure. Due to the number of idlers to be monitored, the size of the conveyor, and the risk of accident when dealing with rotating elements and moving belts, monitoring of all idlers (i.e., using vibration sensors) is impractical regarding scale and connectivity. Hence, an inspection robot is proposed to capture acoustic signals instead of vibrations commonly used in condition monitoring. Then, signal processing techniques are used for signal pre-processing and analysis to check the condition of the idler. It has been found that even if the damage signature is identifiable in the captured signal, it is hard to automatically detect the fault in some cases due to sound disturbances caused by contact of the belt joint and idler coating. Classical techniques based on impulsiveness may fail in such a case, moreover, they indicate damage even if idlers are in good condition. The application of the inspection robot can “replace” the classical measurement done by maintenance staff, which can improve the safety during the inspection. In this paper, the authors show that damage detection in bearings installed in belt conveyor idlers using acoustic signals is possible, even in the presence of a significant amount of background noise. Influence of the sound disturbance due to the belt joint can be minimized by appropriate signal processing methods.Hamid ShiriJacek WodeckiBartłomiej ZiętekRadosław ZimrozMDPI AGarticlerolling element bearingdamageidlerbelt conveyorsoundsignal processingTechnologyTENEnergies, Vol 14, Iss 7646, p 7646 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	rolling element bearing damage idler belt conveyor sound signal processing Technology T
spellingShingle	rolling element bearing damage idler belt conveyor sound signal processing Technology T Hamid Shiri Jacek Wodecki Bartłomiej Ziętek Radosław Zimroz Inspection Robotic UGV Platform and the Procedure for an Acoustic Signal-Based Fault Detection in Belt Conveyor Idler
description	Belt conveyors are commonly used for the transportation of bulk materials. The most characteristic design feature is the fact that thousands of idlers are supporting the moving belt. One of the critical elements of the idler is the rolling element bearing, which requires monitoring and diagnostics to prevent potential failure. Due to the number of idlers to be monitored, the size of the conveyor, and the risk of accident when dealing with rotating elements and moving belts, monitoring of all idlers (i.e., using vibration sensors) is impractical regarding scale and connectivity. Hence, an inspection robot is proposed to capture acoustic signals instead of vibrations commonly used in condition monitoring. Then, signal processing techniques are used for signal pre-processing and analysis to check the condition of the idler. It has been found that even if the damage signature is identifiable in the captured signal, it is hard to automatically detect the fault in some cases due to sound disturbances caused by contact of the belt joint and idler coating. Classical techniques based on impulsiveness may fail in such a case, moreover, they indicate damage even if idlers are in good condition. The application of the inspection robot can “replace” the classical measurement done by maintenance staff, which can improve the safety during the inspection. In this paper, the authors show that damage detection in bearings installed in belt conveyor idlers using acoustic signals is possible, even in the presence of a significant amount of background noise. Influence of the sound disturbance due to the belt joint can be minimized by appropriate signal processing methods.
format	article
author	Hamid Shiri Jacek Wodecki Bartłomiej Ziętek Radosław Zimroz
author_facet	Hamid Shiri Jacek Wodecki Bartłomiej Ziętek Radosław Zimroz
author_sort	Hamid Shiri
title	Inspection Robotic UGV Platform and the Procedure for an Acoustic Signal-Based Fault Detection in Belt Conveyor Idler
title_short	Inspection Robotic UGV Platform and the Procedure for an Acoustic Signal-Based Fault Detection in Belt Conveyor Idler
title_full	Inspection Robotic UGV Platform and the Procedure for an Acoustic Signal-Based Fault Detection in Belt Conveyor Idler
title_fullStr	Inspection Robotic UGV Platform and the Procedure for an Acoustic Signal-Based Fault Detection in Belt Conveyor Idler
title_full_unstemmed	Inspection Robotic UGV Platform and the Procedure for an Acoustic Signal-Based Fault Detection in Belt Conveyor Idler
title_sort	inspection robotic ugv platform and the procedure for an acoustic signal-based fault detection in belt conveyor idler
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/3f40ec7159ed43f3ab073929e52ba141
work_keys_str_mv	AT hamidshiri inspectionroboticugvplatformandtheprocedureforanacousticsignalbasedfaultdetectioninbeltconveyoridler AT jacekwodecki inspectionroboticugvplatformandtheprocedureforanacousticsignalbasedfaultdetectioninbeltconveyoridler AT bartłomiejzietek inspectionroboticugvplatformandtheprocedureforanacousticsignalbasedfaultdetectioninbeltconveyoridler AT radosławzimroz inspectionroboticugvplatformandtheprocedureforanacousticsignalbasedfaultdetectioninbeltconveyoridler
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Inspection Robotic UGV Platform and the Procedure for an Acoustic Signal-Based Fault Detection in Belt Conveyor Idler

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