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

Mohamed Habib Farhat; Len Gelman; Abdulmumeen Onimisi Abdullahi; Andrew Ball; Gerard Conaghan; Winston Kluis

doi:10.3390/s23073652

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

Mohamed Habib Farhat, Len Gelman, Abdulmumeen Onimisi Abdullahi, Andrew Ball, Gerard Conaghan, Winston Kluis

Research output: Contribution to journal › Article › peer-review

18 Citations (Scopus)

Abstract

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.

Original language	English
Article number	3652
Number of pages	17
Journal	Sensors (Basel, Switzerland)
Volume	23
Issue number	7
Early online date	31 Mar 2023
DOIs	https://doi.org/10.3390/s23073652
Publication status	Published - 1 Apr 2023

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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10.3390/s23073652Licence: CC BY

Cite this

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title = "Novel Fault Diagnosis of a Conveyor Belt Mis-Tracking via Motor Current Signature Analysis",

abstract = "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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note = "Funding Information: The authors acknowledge with thanks the financial support of Innovate UK, project number 35195, a help of Monitoring Officer A. Legg, the help of A. Moshrefzadeh in performing experimental trials for the technology validation, the help of Engineering Director P. Eaton (Levertech Engineering Services Ltd., Altrincham, UK) and his colleagues J. Fogg, S. Fields, R. Peatman and G. Fenton in performing experimental trials for technology validation. Publisher Copyright: {\textcopyright} 2023 by the authors.",

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AU - Gelman, Len

AU - Abdullahi, Abdulmumeen Onimisi

AU - Ball, Andrew

AU - Conaghan, Gerard

AU - Kluis, Winston

N1 - Funding Information: The authors acknowledge with thanks the financial support of Innovate UK, project number 35195, a help of Monitoring Officer A. Legg, the help of A. Moshrefzadeh in performing experimental trials for the technology validation, the help of Engineering Director P. Eaton (Levertech Engineering Services Ltd., Altrincham, UK) and his colleagues J. Fogg, S. Fields, R. Peatman and G. Fenton in performing experimental trials for technology validation. Publisher Copyright: © 2023 by the authors.

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N2 - 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.

AB - 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.

KW - conveyor belt

KW - data analysis

KW - diagnosis

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ER -

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

Abstract

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