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 journalArticlepeer-review

1 Citation (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 languageEnglish
Article number3652
Number of pages17
JournalSensors (Basel, Switzerland)
Volume23
Issue number7
Early online date31 Mar 2023
DOIs
Publication statusPublished - 1 Apr 2023

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