Distinction of Asymmetric Load From Eccentricity or Synchronous Electric Generator Winding Fault Using Search Coil Measurements

Petrinić, Miroslav; Tvorić, Stjepan; Plavec, Eduard; Zrakic, Bono

doi:10.1109/tia.2021.3093503

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…Due to the inconvenience of direct measurement of the air-gap magnetic field, the SCs voltage is often used instead. The SCs can be wound around either the armature teeth [9]- [12] or the stator yoke [13] or even made into PCBs and then mounted on the surface of the armature teeth [14]. Completely or partially derived from the air-gap magnetic field, the SCs voltage can be used as an informative indication of the eccentricity and gains popularity as an effective method.…”

Section: Statormentioning

confidence: 99%

Open-Circuit Radial Stray Magnetic Flux Density Based Noninvasive Diagnosis for Mixed Eccentricity Parameters of Interior Permanent Magnet Synchronous Motors in Electric Vehicles

Zhang

et al. 2023

IEEE Trans. Ind. Electron.

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By measuring the open-circuit radial stray magnetic flux density (RSMFD) of three spatial points, a novel diagnostic method for the eccentricity of interior permanent magnetic motors (IPMSMs) in electric vehicles (EVs) is proposed. Outperforming traditional methods, the proposed method can non-invasively diagnose not only the severities of static eccentricity (SE), dynamic eccentricity (DE), and mixed eccentricity (ME), but also the eccentricity location. In this paper, diagnosis results are described through three eccentricity parameters: SE ratio, DE ratio, and SE angle. Firstly, an analytical model of the open-circuit RSMFD of the IPMSM is proposed, with its accuracy validated by experiments. The pattern of the impact of the eccentricity parameters on the open-circuit RSMFD is analyzed to form the basis of the proposed method. Then, an eccentricity prototype motor, which can continuously emulate the eccentricity according to any listed eccentricity parameters, is developed. A test rig is built to collect the open-circuit RSMFD and validate the analytical calculation results. Finally, an eccentricity diagnostic model based on the open-circuit RSMFD is established. The diagnosis results proved the non-invasiveness, effectiveness, and viability of the proposed method.

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Section: Statormentioning

confidence: 99%

Open-Circuit Radial Stray Magnetic Flux Density Based Noninvasive Diagnosis for Mixed Eccentricity Parameters of Interior Permanent Magnet Synchronous Motors in Electric Vehicles

Zhang

et al. 2023

IEEE Trans. Ind. Electron.

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show abstract

“…The finite element and magnetic circuit methods are used to detect the no-load leakage flux coefficient, and its variation trend charts the change in the pole arc coefficient, air gap length, and PM thickness [16]. The measurement of the flux density is performed with the measuring coils installed on the stator teeth, and the calculations are conducted using the finite element method [17]. Under asymmetric operating conditions, the rotor components of the large generator experience eddy currents and changes in the temperature field distribution under the action of power loads.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of an Improved Ridgelet Process Neural Network for Predicting the Temperature Rise of Rotor Structure Optimization

Guo,

Miao

2023

Machines

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To solve the negative-sequence temperature-rise problem of large equipment under asymmetric operating conditions, this paper optimizes the structure of the main components and adopts an improved process neural network to conduct online analysis and calculate the operating data, achieving the accurate prediction of the equipment heating status. Firstly, taking a 300 MW generator that urgently needs equipment improvement as the research object, the typical asymmetric accident characteristics that have occurred in recent years and the main influencing factors of negative-sequence heating of the rotor are analyzed. The influence of the rotor damping structure and shaft length on the temperature-rise change is explored. Secondly, a tent map is introduced to enhance the distribution uniformity of the population in the search space to enhance the global convergence of niche genetic algorithms. Numerical experiments and field experiments show that the improved algorithm, which is applied to optimize the parameters of the ridgelet process neural network, has good temperature-rise prediction performance. Finally, the influence of the rotor length and number of pole damping bars on the negative-sequence heating problem under different negative-sequence component ratios is examined, which provides useful references for the structural optimization and asymmetric operation state prediction of large equipment.

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Analytical Magnetic Field Analysis of PMSM with Inter-turn Short-circuit Fault and its Diagnosis through Detection Coil

Zhang,

Han,

Tang

et al. 2023

2023 26th International Conference on Electrical Machines and Systems (ICEMS)

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Distinction of Asymmetric Load From Eccentricity or Synchronous Electric Generator Winding Fault Using Search Coil Measurements

Cited by 6 publications

References 14 publications

Open-Circuit Radial Stray Magnetic Flux Density Based Noninvasive Diagnosis for Mixed Eccentricity Parameters of Interior Permanent Magnet Synchronous Motors in Electric Vehicles

Open-Circuit Radial Stray Magnetic Flux Density Based Noninvasive Diagnosis for Mixed Eccentricity Parameters of Interior Permanent Magnet Synchronous Motors in Electric Vehicles

Application of an Improved Ridgelet Process Neural Network for Predicting the Temperature Rise of Rotor Structure Optimization

Analytical Magnetic Field Analysis of PMSM with Inter-turn Short-circuit Fault and its Diagnosis through Detection Coil

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