Improving Legibility of Motor Current Spectrum for Broken Rotor Bars Fault Diagnostics

Bilal Asad, Toomas Vaimann, Ants Kallaste, Anton Rassõlkin, Anouar Belahcen, M. Naveed Iqbal

Abstract


In this paper, the harmonic contribution of broken rotor bar of an induction machine is investigated using an effective combination of fast Fourier transform (FFT) and a band stop filter. The winding, spatial grid fed and fault-based harmonics are investigated. Since the fundamental component is the most powerful component as compared to the rest of frequencies, it decreases the legibility of spectrum, making logarithmic scale inevitable. It also remains a potential threat to bury the fault representative side band frequencies because of its spectral leakage. In this paper, a band stop Chebyshev filter is used to attenuate the fundamental component, which makes the spectrum clearer and easier to understand even at linear scale. Its good transition band and low passband ripples makes it suitable to attenuate the main supply frequency with low impact on neighboring side band frequencies. The study the impact of fault on magnetic flux distribution, simulation is done using finite element method with good number of mesh elements and very small step size. The line current is calculated, and frequency spectrum is investigated to segregate the spatial and fault frequencies using proposed technique. The results are further validated by implementing the algorithm on the data measured in laboratory environment including the grid fed harmonics.


Keywords:

Digital filters; Fault diagnosis; Induction motors; Fourier transform

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