The Demagnetization Harmonics Generation Mechanism in Permanent Magnet Machines With Concentrated Windings

“…The stator current analysis has been extensively used for all types of electrical machines and faults detection. Specifically for synchronous machines, it has been applied for eccentricity detection [16]- [17], stator-inter-turn faults [17]- [18], demagnetization [17]- [19] and sensor faults [20].…”

Section: Condition Monitoring At Steady Statementioning

confidence: 99%

Multi-Parametric Condition Monitoring of Medium-Power Generators with Brushless Exciters under Mechanical Faults

Gyftakis

Platero

Nøland

2023

IEEE Trans. on Ind. Applicat.

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The interest in reliable condition monitoring of small-to-medium-power generator sets (GenSets) has increased in recent years due to the multiple benefits of prompt and decisive fault detection. This leads to the minimization of catastrophic failures and significantly improves the interconnected load's power reliability. In this paper, the case of mechanical faults is examined and particularly the eccentricity caused by a cocked bearing. The main electrical machine under investigation is a salient pole wound-field synchronous machine (WFSM) with a brushless exciter (BE), which is a very common topology in GenSets. The work is based purely on experimental testing, while a plethora of methods has been assessed based on their accuracy to detect and identify the fault, both stationary and dynamic. Finally, the paper proposes a new and non-intrusive method based on the monitoring of the stray leakage flux and its analysis while the generator experiences a deaccelerating transient, and the role of the exciters's geometrical properties in this new methodology is revealed.

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“…(1) The signal-based fault diagnosis method extracts the fault characteristics from the measured signals such as voltage [ 6 , 7 , 8 ], current [ 6 , 7 , 9 , 10 ], flux [ 11 , 12 ], and torque [ 13 ] of the motor for fault diagnosis using signal processing techniques. In [ 6 ], harmonic analysis was carried out on signals such as no-load back-EMF, line current, and the zero-sequence voltage component of the motor with demagnetization faults, and the differences in the harmonic content of various signals between the healthy motor and the partially demagnetized motor were calculated; this served as the basis for diagnosing demagnetization faults.…”

Section: Introductionmentioning

confidence: 99%

Analytical Modeling and Analysis of Permanent-Magnet Motor with Demagnetization Fault

Shi

Peng²,

Zhang³

et al. 2022

Sensors

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Factors such as insufficient heat dissipation and excessively high temperature can easily lead to demagnetization of the PMs in permanent-magnet (PM) motors. As a result, the magnetic field distribution of the motor will not be uniform, producing fault harmonics and lowering the operational performance of the motor. An essential stage in the diagnosis of faults and the monitoring of motor condition is the establishment of an accurate model of motors with demagnetization faults. In this paper, demagnetization faults are modeled by changing the Fourier coefficients in the Fourier expansion of the magnetization of PMs. This model can be used to determine the motor performance under various types of demagnetization, including radial air gap flux density, back electromotive force (EMF), and torque. On this basis, the corresponding relationship between the demagnetization degree and the fault signature is established, to provide a theoretical foundation for the subsequent demagnetization fault diagnosis. The finite element analysis (FEA) verifies the effectiveness and superiority of the proposed analytical model. The modeling method proposed in this paper can be applied to PM motors with PMs having different magnetization directions and shapes because it is based on the demagnetization region of PMs.

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The Demagnetization Harmonics Generation Mechanism in Permanent Magnet Machines With Concentrated Windings

Abstract: His research interests focus in the fault diagnosis, condition monitoring and degradation of electrical machines. He has authored/co-authored more than 100 papers in international scientific journals and conferences and a chapter for the

Cited by 27 publications

References 48 publications

Demagnetization Monitoring and Identification in PM Generators With Concentrated Windings During Transient Conditions

Demagnetization Monitoring and Identification in PM Generators With Concentrated Windings During Transient Conditions

Multi-Parametric Condition Monitoring of Medium-Power Generators with Brushless Exciters under Mechanical Faults

Analytical Modeling and Analysis of Permanent-Magnet Motor with Demagnetization Fault

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