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Higher-Order Spectra Analysis-Based Diagnosis Method of Blades Biofouling in a PMSG Driven Tidal Stream Turbine
- 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).
- Subjects :
- 0209 industrial biotechnology
Control and Optimization
Turbine blade
Computer science
Stator
Cyclostationary process
diagnosis
020209 energy
Energy Engineering and Power Technology
bispectrum
biofouling
spectral kurtosis
stator current
tidal stream turbine
02 engineering and technology
Permanent magnet synchronous generator
Turbine rotor
Turbine
lcsh:Technology
Spectral line
law.invention
020901 industrial engineering & automation
law
Control theory
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
Engineering (miscellaneous)
ComputingMilieux_MISCELLANEOUS
Renewable Energy, Sustainability and the Environment
Rotor (electric)
lcsh:T
[SPI.NRJ]Engineering Sciences [physics]/Electric power
Condition monitoring
Spectral density
Nonlinear system
Bispectrum
Energy (miscellaneous)
Subjects
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⟩