Novel Fault Diagnosis of a Conveyor Belt Mis-Tracking via Motor Current Signature Analysis
Mohamed Habib Farhat, Len Gelman, Abdulmumeen Onimisi Abdullahi, Andrew D. Ball, Gerard Conaghan, Winston Kluis
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.