Diagnosis of induction machines under non-stationary conditions by means of the spectral filter

Vedreno-Santos, F.; Riera-Guasp, M.; Pineda-Senchez, M.

Abstract

This paper introduces a new way to extract the
fault components of a signal by means of a new proposed filter
based on the Sampling Theorem and the properties of Discrete
Fourier Transform. The proposed method is able to extract
fault components either in steady-state or in transient
conditions. This paper also proposes a new way to compute the
energy of a signal in the frequency domain by means of the
Plancherel's Theorem. Unlike the Discrete Wavelet Transform,
which makes the filtering process in the time domain, the
Discrete Fourier Transform allows the filtering process in the
frequency domain. The use of the Discrete Fourier Transform
makes the filtering process possible without applying any pretreatment
to the current as it is done in the former works. As a
consequence of the filtering process in the frequency domain
and in order to reduce useless computations, in the current
paper is also demonstrated the possibility of the computation of
the energy of the extracted fault component in the frequency
domain. The results are compared with the former and already
published works in the area showing the good reliability of the
new filtering process and energy computation in the frequency
domain.

• Conference Name: 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)
• Start Date: Aug 27, 2013
• End Date: Aug 30, 2013
• Publication Date: 2013-08
• Deposit Date: Oct 5, 2016
• Publisher: Institute of Electrical and Electronics Engineers
• Book Title: Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013 9th IEEE International Symposium on
• ISBN: 9781479900251
• DOI: https://doi.org/10.1109/demped.2013.6645702
• Keywords: discrete Fourier transform, discrete wavelet transform, fault diagnosis, filtering processes, fluctuating load conditions, frequency domain, energy computation, Hilbert transform, induction machine, instantaneous frequency, mixed eccentricity, rotor asymm
• Public URL: http://researchrepository.napier.ac.uk/Output/398680