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VPSO-SVM-Based Open-Circuit Faults Diagnosis of Five-Phase Marine Current Generator Sets

Author

Listed:
  • Gang Yao

    (Sino-Dutch Mechatronics Engineering Department, Shanghai Maritime University, Shanghai 201306, China)

  • Shuxiu Pang

    (Electrical Engineering Department, Shanghai Maritime University, Shanghai 201306, China)

  • Tingting Ying

    (Electrical Engineering Department, Shanghai Maritime University, Shanghai 201306, China)

  • Mohamed Benbouzid

    (Electrical Engineering Department, Shanghai Maritime University, Shanghai 201306, China
    Institut de Recherche Dupuy de Lôme (UMR CNRS 6027 IRDL), University of Brest, 29238 Brest, France)

  • Mourad Ait-Ahmed

    (IREENA, l’Université de Nantes/Polytech Nantes, 44602 Nantes, France)

  • Mohamed Fouad Benkhoris

    (IREENA, l’Université de Nantes/Polytech Nantes, 44602 Nantes, France)

Abstract

Generating electricity from enormous energy contained in oceans is an important means to develop and utilize marine sustainable energy. An offshore marine current generator set (MCGS) is a system that runs in seas to produce electricity from tremendous energy in tidal streams. MCGSs operate in oceanic environments with high humidity, saline-alkali water, and impacts of marine organisms and waves, and consequently malfunctions can happen along with the need for expensive inspection and maintenance. In order to achieve effective fault diagnosis of MCGSs in events of failure, this paper focuses on fault detection and diagnosis (FDD) of MCGSs based on five-phase permanent magnet synchronous generators (FP-PMSGs) with the third harmonic windings (THWs). Firstly, mathematical models were built for a hydraulic turbine and the FP-PMSG with THWs; then, a fault detection method based on empirical mode decomposition (EMD) and Hilbert transform (HT) was studied to detect different open-circuit faults (OCFs) of the generator; afterwards, a variable-parameter particle swarm optimization (VPSO) was designed to optimize the penalty and kernel function parameters of a support vector machine (SVM), which was named the VPSO-SVM method in this paper and used to perform fault diagnosis of the FP-PMSG. Finally, simulation blocks were built with MATLAB/Simulink to realize the mathematical models of the MCGS, and the proposed FDD method was coded with MATLAB. The effectiveness of the proposed VPSO-SVM method was validated by simulation results analysis and comparisons.

Suggested Citation

  • Gang Yao & Shuxiu Pang & Tingting Ying & Mohamed Benbouzid & Mourad Ait-Ahmed & Mohamed Fouad Benkhoris, 2020. "VPSO-SVM-Based Open-Circuit Faults Diagnosis of Five-Phase Marine Current Generator Sets," Energies, MDPI, vol. 13(22), pages 1-28, November.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:22:p:6004-:d:446476
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    Cited by:

    1. Zhenhua Li & Xingxin Chen & Lin Wu & Abu-Siada Ahmed & Tao Wang & Yujie Zhang & Hongbin Li & Zhenxing Li & Yanchun Xu & Yue Tong, 2021. "Error Analysis of Air-Core Coil Current Transformer Based on Stacking Model Fusion," Energies, MDPI, vol. 14(7), pages 1-14, March.

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