Unbalanced Brushless DC Rotor Diagnosis Using Instantaneous Amplitude Analysis
Ayoub EL JAFRY, Hamza SABIR, Mohammed NAHID
Abstract. Cost-effective, predictive, and proactive maintenance of electrical machines, particularly BLDC motors, is becoming increasingly important as the use of these motors grows in many areas of application. A well-known method for assessing imminent problems is to analyze the features of the stator current, thereby detecting both electrical and mechanical faults. This paper describes a method for diagnosing eccentricity faults in brushless DC motors, based on the analysis of the instantaneous current amplitude extracted from the Hilbert transform. The proposed eccentricity detection technique has been validated in MATLAB/SIMULINK. For incipient eccentricity conditions, the proposed method highlights spectral components of the defect in which the amplitude of 1.04×10-2 is completely masked in the conventional FFT spectrum by the fundamental peak (amplitude ≈ 0.86).
Keywords
Brushless DC Motor (BLDC), Fault Diagnosis, Incipient Fault Detection, Hilbert Transform
Published online 4/25/2026, 8 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Ayoub EL JAFRY, Hamza SABIR, Mohammed NAHID, Unbalanced Brushless DC Rotor Diagnosis Using Instantaneous Amplitude Analysis, Materials Research Proceedings, Vol. 64, pp 570-577, 2026
DOI: https://doi.org/10.21741/9781644904091-71
The article was published as article 71 of the book Energy Futures
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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