Procedure for Detection of Stator Inter-Turn Short Circuit in AC Machines Measuring the External Magnetic Field

Remus Pusca, Raphael Romary, Ezzeddine Touti, Petru Livinti, Ilie Nuca and Adrian Ceban
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Remus Pusca: Laboratory of Electrotechnical and Environmental Systems, University of Artois, EA 4025 LSEE, F-62400 Béthune, France
Raphael Romary: Laboratory of Electrotechnical and Environmental Systems, University of Artois, EA 4025 LSEE, F-62400 Béthune, France
Ezzeddine Touti: Department of Electrical Engineering, College of Engineering, University of Northern Border, Arar 1321, Saudi Arabia
Petru Livinti: Department of Electrical Engineering, Faculty of Engineering, University Vasile Alecsandri of Bacau, 600115 Bacau, Romania
Ilie Nuca: Department of Electrical Engineering, Technical University of Moldova, MD-2004 Chisinau, Moldova
Adrian Ceban: Laboratory of Electrotechnical and Environmental Systems, University of Artois, EA 4025 LSEE, F-62400 Béthune, France

Energies, 2021, vol. 14, issue 4, 1-22

Abstract: This paper presents a non-invasive procedure to detect inter-turn short circuit faults in the stator windings of AC electrical machines. It proposes the use of the stray external magnetic field measured in the vicinity of the machine to determine stator faults. The originality introduced by this procedure is the analysis method presented in the paper, which when compared to usual diagnosis methods, does not require any data on the healthy state of the machine. The procedure uses the magnetic unbalance created by the rotor poles and the load variation in faulty cases. The presented method can be applied to induction and synchronous machines used as a motor or generator. It is based on the variation of sensitive spectral lines obtained from the external magnetic field when the load changes. Analytical relationships are developed in the paper to justify the proposed method and to explain the physical phenomenon. To illustrate these theoretical considerations, practical experiments are also presented.

Keywords: AC machines; magnetic field; non-invasive fault diagnosis; spectral analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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