Experimental investigation of a real-time singularity-based fault diagnosis method for five-phase PMSG-based tidal current applications

Zhuo Liu; Azeddine Houari; Mohamed Machmoum; Mohamed Fouad Benkhoris; Ali Djerioui; Tianhao Tang

doi:10.1016/j.isatra.2023.07.038

Experimental investigation of a real-time singularity-based fault diagnosis method for five-phase PMSG-based tidal current applications

ISA Trans. 2023 Nov:142:501-514. doi: 10.1016/j.isatra.2023.07.038. Epub 2023 Aug 1.

Authors

Zhuo Liu¹, Azeddine Houari², Mohamed Machmoum³, Mohamed Fouad Benkhoris⁴, Ali Djerioui⁵, Tianhao Tang⁶

Affiliations

¹ IREENA Laboratory, University of Nantes, 37 Boulevard de L'université BP 406, 44602 Saint-Nazaire, France; Department of Electrical Automation, Shanghai Maritime University, 1550 Haigang Ave, 201306 Shanghai, PR China. Electronic address: liuzhuo@stu.shmtu.edu.cn.
² IREENA Laboratory, University of Nantes, 37 Boulevard de L'université BP 406, 44602 Saint-Nazaire, France. Electronic address: Azeddine.Houari@univ-nantes.fr.
³ IREENA Laboratory, University of Nantes, 37 Boulevard de L'université BP 406, 44602 Saint-Nazaire, France. Electronic address: Mohamed.Machmoum@univ-nantes.fr.
⁴ IREENA Laboratory, University of Nantes, 37 Boulevard de L'université BP 406, 44602 Saint-Nazaire, France. Electronic address: Mohamed-Fouad.Benkhoris@univ-nantes.fr.
⁵ IREENA Laboratory, University of Nantes, 37 Boulevard de L'université BP 406, 44602 Saint-Nazaire, France; LGE Laboratory, Department of Electrical Engineering, University of M'sila, M'Sila, Algeria. Electronic address: alidjerioui@yahoo.fr.
⁶ Department of Electrical Automation, Shanghai Maritime University, 1550 Haigang Ave, 201306 Shanghai, PR China. Electronic address: thtang@shmtu.edu.cn.

PMID: 37696733
DOI: 10.1016/j.isatra.2023.07.038

Abstract

This paper presents a novel real-time singularity-based fault diagnosis method for tidal current applications, specifically utilizing a five-phase permanent magnet synchronous generator with trapezoidal back electromotive forces. The proposed method incorporates an innovative orthogonal signal generator through a second-order filter, enabling the extraction of detectable singularity signatures from phase current signals. The principle of the method is elucidated through step-by-step design procedures, outlining the indicator enhancement approach and adaptive thresholds employed for enhanced robustness and adaptability. Fault detection is performed based on the improved fault indicators and an adaptive threshold law, followed by immediate fault localization that is achieved via twice average operations of the phase currents. To demonstrate the effectiveness and efficiency of the proposed method, a comparative study is carried out with a classical mean current vector-based fault diagnosis method. A small-scale experimental platform emulating a tidal current application is established for a comprehensive evaluation of both methods. The experimental results highlight the superior fault diagnosis performance of the proposed method, particularly in detecting single and multiple open circuit faults in phases or switches, while exhibiting enhanced robustness against variations in torque and speed. The simplicity of implementation and rapid detection mechanism are principal merits for the proposed method.

Keywords: Experimental investigation; Fault detection; Fault diagnosis; Fault localization; Five-phase PMSG; Singularity-based method; Tidal current applications.