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Higher-Order Spectra Analysis-Based Diagnosis Method of Blades Biofouling in a PMSG Driven Tidal Stream Turbine

Authors :
Tianzhen Wang
Mohamed Benbouzid
Yassine Amirat
Elhoussin Elbouchikhi
Demba Diallo
Lotfi Saidi
YNCREA OUEST (YO)
Energie et Systèmes Electromécaniques (LABISEN-ESE)
Laboratoire ISEN (L@BISEN)
Institut supérieur de l'électronique et du numérique (ISEN)-YNCREA OUEST (YO)-Institut supérieur de l'électronique et du numérique (ISEN)-YNCREA OUEST (YO)
Source :
Energies, Vol 13, Iss 2888, p 2888 (2020), Energies, Energies, MDPI, 2020, 13 (11), pp.2888. ⟨10.3390/en13112888⟩, Energies; Volume 13; Issue 11; Pages: 2888
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

Most electrical machines and drive signals are non-Gaussian and are highly nonlinear in nature. A useful set of techniques to examine such signals relies on higher-order statistics (HOS) spectral representations. They describe statistical dependencies of frequency components that are neglected by traditional spectral measures, namely the power spectrum (PS). One of the most used HOS is the bispectrum where examining higher-order correlations should provide further details and information about the conditions of electric machines and drives. In this context, the stator currents of electric machines are of particular interest because they are periodic, nonlinear, and cyclostationary. This current is, therefore, well adapted for analysis using bispectrum in the designing of an efficient condition monitoring method for electric machines and drives. This paper is, therefore, proposing a bispectrum-based diagnosis method dealing the with tidal stream turbine (TST) rotor blades biofouling issue, which is a marine environment natural process responsible for turbine rotor unbalance. The proposed bispectrum-based diagnosis method is verified using experimental data provided from a permanent magnet synchronous generator (PMSG)-based TST experiencing biofouling emulated by attachment on the turbine blade. Based on the achieved results, it can be concluded that the proposed diagnosis method has been very successful. Indeed, biofouling imbalance-related frequencies are clearly identified despite marine environmental nuisances (turbulences and waves).

Details

Language :
English
ISSN :
19961073
Volume :
13
Issue :
2888
Database :
OpenAIRE
Journal :
Energies
Accession number :
edsair.doi.dedup.....5a5b0818ff7c05209e9b1e9dc7ae772d
Full Text :
https://doi.org/10.3390/en13112888⟩