Authors: M.V. Kiperwasser, D.S. Anikanov, I.Yu. Semykina, A.G. Zakharova

Title of the article: Faults diagnostics in the mechanical part of belt conveyors by the wavelet analysis of drive motor currents

Year: 2025, Issue: 5, Pages: 14-21

Branch of knowledge: 2.4.2. Electrotechnical complexes and systems (engineering)

Index UDK: 622.6:629.423.32:62-533.7

DOI: 10.26730/1816-4528-2025-5-14-21

Abstract: Intensive mechanical loads typical of belt conveyors significantly increase the risk of breakdowns, leading to significant financial costs for repairing and reconstructing equipment. This article discusses a method for diagnosing belt conveyor roller faults using the analysis of currents of the drive asynchronous electric motor. It is proposed to use wavelet analysis of current signals to identify emergency modes of belt conveyors. Wavelet transform allows for frequency-time analysis of non-stationary signals, which makes it possible to identify signs of emergencies even in high noise conditions typical of real operating conditions. The study was conducted using mathematical and computer modeling. A mathematical model of a belt conveyor as an electromechanical system has been developed, including an eight-mass mechanical model and a two-phase model of an asynchronous electric motor. The model is implemented in the MATLAB/Simulink environment. The analysis of stator currents was performed in the event of an emergency related to the jamming of the support rollers of the load-bearing part. The study was conducted using the example of a belt conveyor of the NE-K type with a 22 kW drive electric motor. The results showed that the oscillatory processes in the current signal depend on the number of jammed rollers, as well as on the amplitude and period of oscillations. It was found that instant jamming of a roller leads to a local surge in current, which is damped by the inertial elements of the system. Wavelet decomposition allows for the effective detection and diagnosis of such emergencies.

Key words: belt conveyor roller jamming fault diagnostics asynchronous electric motor stator current wavelet analysis

Receiving date: 06.06.2025

Approval date: 30.06.2025

Publication date: 09.10.2025

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