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.
CITATION STYLE
Farhat, M. H., Gelman, L., Abdullahi, A. O., Ball, A., Conaghan, G., & Kluis, W. (2023). Novel Fault Diagnosis of a Conveyor Belt Mis-Tracking via Motor Current Signature Analysis. Sensors, 23(7). https://doi.org/10.3390/s23073652
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