Permanent magnet synchronous machine stator windings fault detection by Hilbert–Huang transform

Author:

Alvarez‐Gonzalez Fernando1ORCID,Griffo Antonio1,Wang Bo1

Affiliation:

1. Department of Electronic and Electrical EngineeringThe University of SheffieldSheffieldUK

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Reference16 articles.

1. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non‐stationary time series analysis;Huang N.E.;Proc. Royal Soc. A: Math. Phys. Eng. Sci.,1998

2. A critical comparison between DWT and Hilbert–Huang‐based methods for the diagnosis of rotor bar failures in induction machines;Antonino‐Daviu J.;IEEE Trans. Ind. Appl.,2009

3. YupingZ.: ‘Hilbert–Huang transform and marginal spectrum for detection of bearing localized defects’.Proc. 2006 6th World Congress on Intelligent Control and Automation (WCICA 2006) Dalian China 2006 pp.5457–5461

4. ElbouchikhiE. ChoqueuseV. TrachiY.et al.: ‘Induction machine bearing faults detection based on Hilbert‐Huang transform’.Proc. IEEE Int. Symp. on Industrial Electronics Buzios Brazil June 2015 pp.843–848

5. A morphological Hilbert–Huang transform technique for bearing fault detection;Osman S.;IEEE Trans. Instrum. Meas.,2016

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