Sensors (Mar 2023)

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
https://doi.org/10.3390/s23073652
Journal volume & issue
Vol. 23, no. 7
p. 3652

Abstract

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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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