Novel Fault Diagnosis of a Conveyor Belt Mis-Tracking via Motor Current Signature Analysis

For the first time ever worldwide, this paper proposes, investigates, and validates, by multiple experiments, a new online automatic diagnostic technology for the belt mis-tracking of belt conveyor systems based on motor current signature analysis (MCSA). Three diagnostic technologies were investiga...

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Detalles Bibliográficos
Autores principales: Farhat, Mohamed Habib, Gelman, Len, Abdullahi, Abdulmumeen Onimisi, Ball, Andrew, Conaghan, Gerard, Kluis, Winston
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099345/
https://www.ncbi.nlm.nih.gov/pubmed/37050710
http://dx.doi.org/10.3390/s23073652
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author Farhat, Mohamed Habib
Gelman, Len
Abdullahi, Abdulmumeen Onimisi
Ball, Andrew
Conaghan, Gerard
Kluis, Winston
author_facet Farhat, Mohamed Habib
Gelman, Len
Abdullahi, Abdulmumeen Onimisi
Ball, Andrew
Conaghan, Gerard
Kluis, Winston
author_sort Farhat, Mohamed Habib
collection PubMed
description For the first time ever worldwide, this paper proposes, investigates, and validates, by multiple experiments, a new online automatic diagnostic technology for the belt mis-tracking of belt conveyor systems based on motor current signature analysis (MCSA). Three diagnostic technologies were investigated, experimentally evaluated, and compared for conveyor belt mis-tracking diagnosis. The proposed technologies are based on three higher-order spectral diagnostic features: bicoherence, tricoherence, and the cross-correlation of spectral moduli of order 3 (CCSM3). The investigation of the proposed technologies via comprehensive experiments has shown that technology based on the CCSM3 is highly effective for diagnosing a conveyor belt mis-tracking via MCSA.
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spelling pubmed-100993452023-04-14 Novel Fault Diagnosis of a Conveyor Belt Mis-Tracking via Motor Current Signature Analysis Farhat, Mohamed Habib Gelman, Len Abdullahi, Abdulmumeen Onimisi Ball, Andrew Conaghan, Gerard Kluis, Winston Sensors (Basel) Communication For the first time ever worldwide, this paper proposes, investigates, and validates, by multiple experiments, a new online automatic diagnostic technology for the belt mis-tracking of belt conveyor systems based on motor current signature analysis (MCSA). Three diagnostic technologies were investigated, experimentally evaluated, and compared for conveyor belt mis-tracking diagnosis. The proposed technologies are based on three higher-order spectral diagnostic features: bicoherence, tricoherence, and the cross-correlation of spectral moduli of order 3 (CCSM3). The investigation of the proposed technologies via comprehensive experiments has shown that technology based on the CCSM3 is highly effective for diagnosing a conveyor belt mis-tracking via MCSA. MDPI 2023-03-31 /pmc/articles/PMC10099345/ /pubmed/37050710 http://dx.doi.org/10.3390/s23073652 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Farhat, Mohamed Habib
Gelman, Len
Abdullahi, Abdulmumeen Onimisi
Ball, Andrew
Conaghan, Gerard
Kluis, Winston
Novel Fault Diagnosis of a Conveyor Belt Mis-Tracking via Motor Current Signature Analysis
title Novel Fault Diagnosis of a Conveyor Belt Mis-Tracking via Motor Current Signature Analysis
title_full Novel Fault Diagnosis of a Conveyor Belt Mis-Tracking via Motor Current Signature Analysis
title_fullStr Novel Fault Diagnosis of a Conveyor Belt Mis-Tracking via Motor Current Signature Analysis
title_full_unstemmed Novel Fault Diagnosis of a Conveyor Belt Mis-Tracking via Motor Current Signature Analysis
title_short Novel Fault Diagnosis of a Conveyor Belt Mis-Tracking via Motor Current Signature Analysis
title_sort novel fault diagnosis of a conveyor belt mis-tracking via motor current signature analysis
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099345/
https://www.ncbi.nlm.nih.gov/pubmed/37050710
http://dx.doi.org/10.3390/s23073652
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