Detection of Eccentricity Faults in Five-Phase Ferrite-PM Assisted Synchronous Reluctance Machines

López-Torres, Carlos; Riba, Jordi-Roger; García, A.; Romeral, L.

doi:10.3390/app7060565

Cited by 12 publications

(11 citation statements)

References 35 publications

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“…The direct-and quadrature-axis currents (i d , i q ) expressed in the d-q reference are easily calculated from the instantaneous values of the line currents (i a , i b , i c , i d , i e ) [6] as:…”

Section: The Analyzed Fpma-synrmmentioning

confidence: 99%

“…Synchronous reluctance machines (SynRMs) have interesting characteristics for automotive applications, including high power and torque densities, due to the extra torque they produce due to the reluctance component [4], which adds to the alignment torque. To boost the features of SynRMs, they can also include ferrite-PMs, thus obtaining ferrite-PM-assisted SynRMs (fPMa-SynRMs), which are competing with PM synchronous machines and asynchronous machines [5][6][7] in several applications demanding high power density, high efficiency, overloading capability or a wide constant-power speed range [8]. Despite the relatively low magnetic properties when compared with rare-earth based magnets, ferrite PMs have several advantages, including their abundancy and low-cost.…”

Section: Introductionmentioning

confidence: 99%

“…Despite the relatively low magnetic properties when compared with rare-earth based magnets, ferrite PMs have several advantages, including their abundancy and low-cost. It is a recognized fact that fPMa-SynRMs offer higher reluctance torque compared to interior-PM motors (IPM), because fPMa-SynRMs require less PM volume than IPMs, since the main contribution to the total torque is the reluctance component [6]. However, the reluctance torque generates higher This work focuses on the detection of inter-turn faults in five-phase fPMa-SynRMs by analyzing the spectra of the line currents and the ZSVC, which allows for a straightforward and powerful application of an on-line fault diagnosis approach.…”

Section: Introductionmentioning

confidence: 99%

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Detection of Inter-Turn Faults in Multi-Phase Ferrite-PM Assisted Synchronous Reluctance Machines

et al. 2019

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Inter-turn winding faults in five-phase ferrite-permanent magnet-assisted synchronous reluctance motors (fPMa-SynRMs) can lead to catastrophic consequences if not detected in a timely manner, since they can quickly progress into more severe short-circuit faults, such as coil-to-coil, phase-to-ground or phase-to-phase faults. This paper analyzes the feasibility of detecting such harmful faults in their early stage, with only one short-circuited turn, since there is a lack of works related to this topic in multi-phase fPMa-SynRMs. Two methods are tested for this purpose, the analysis of the spectral content of the zero-sequence voltage component (ZSVC) and the analysis of the stator current spectra, also known as motor current signature analysis (MCSA), which is a well-known fault diagnosis method. This paper compares the performance and sensitivity of both methods under different operating conditions. It is proven that inter-turn faults can be detected in the early stage, with the ZSVC providing more sensitivity than the MCSA method. It is also proven that the working conditions have little effect on the sensitivity of both methods. To conclude, this paper proposes two inter-turn fault indicators and the threshold values to detect such faults in the early stage, which are calculated from the spectral information of the ZSVC and the line currents.Energies 2019, 12, 2733 2 of 15 ripple in the output, although torque pulsations can be minimized by means of a suitable design, including rotor skewing, asymmetric flux barriers or selected rotor steps [5].Faults in electrical machines could produce loss of system reliability, unscheduled shutdowns [9], important economic losses or even harmful effects to humans. Therefore, there is a growing demand for improved fault diagnosis approaches in electrical machines, in particular for high-performance applications [10]. This strategy ensures the safe and reliable operation of the plant, while greatly reducing unexpected and unscheduled fault occurrences, thus improving system availability and minimizing economic losses and the likelihood of accidents [11].Rotating electric machines are designed with mechanical and electrical symmetry to maximize performance and efficiency and to minimize vibrations. When operating under faulty conditions this symmetry is lost, thus changing the magnitude or the shape of different machine signals, such as the electromotive force, line currents, vibrations profile or the temperature, among others [12]. Most of these faults generate specific patterns of such signals, so these changes can be used for fault diagnosis purposes.Different fault diagnosis techniques have been analyzed in the technical literature, based on on-line or off-line approaches. Whereas off-line methods require the disconnection of the machine and sometimes the removal of some components, on-line diagnosis methods require the addition of specific sensors to acquire data from the machine during normal operation, although in some cases no extra sensors are required. Due to the ex...

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Section: The Analyzed Fpma-synrmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Detection of Inter-Turn Faults in Multi-Phase Ferrite-PM Assisted Synchronous Reluctance Machines

et al. 2019

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“…Ebrahimi, B. M. et al have introduced the new index based on the decomposition wavelet transform of the stator current to analyze their relations to static and dynamic eccentricity fault and identify the eccentricity type and estimating its degree [15]. Carlos López-Torres et al have analyzed the spectral content of the stator currents and the zero-sequence voltage component under the effects of air-gap asymmetries in five-phase ferrite-permanent magnet (PM) assisted synchronous reluctance machines [16].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Vibrations in Interior Permanent Magnet Synchronous Motors Considering Air-Gap Deformation

Chai

Song

et al. 2017

Energies

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This paper studies the non-uniform air-gap caused by stator and rotor deformations, together with its effects on the spatial and temporal spectrum of the radial magnetic force density in an interior permanent magnet synchronous motor (IPMSM). According to the mathematical model of the deformed air-gap length, the superposition method is adopted to derive the air-gap permeance. Then, the formulas of the magnetic flux field and radial force density of the IPMSM considering air-gap deformation are obtained. Considering the stator oval deformation and the rotor centrifugal distortion in the electromagnetic finite element models (FEMs), the finite element analysis (FEA) and experiments of the investigated IPMSM are carried out to verify the results obtained by the theoretical analysis at different operations. Finally, the mathematical correlation between air-gap deformation and electromagnetic vibration is obtained. The result is helpful in solving problems of mutual influence between electromagnetic and mechanical characteristics during the optimization design of IPMSM.

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“…The spectrum of the current can be analyzed to determine abnormal frequency components due to, for example, air gap eccentricity [1,2] or partial demagnetization [3][4][5][6][7][8]. This method can be used on machines in production environments for continuous monitoring.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Permanent Magnet Demagnetization in Synchronous Machines during Multiple Short-Circuit Fault Conditions

Sjökvist

Eriksson

2017

Energies

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Faults in electrical machines can vary in severity and affect different parts of the machine. This study focuses on various kinds of short-circuits on the terminal side of a generic 20 kW surface mounted permanent magnet synchronous generator and how successive faults affect the performance of the machine. The study was conducted with the commercially available finite element method software COMSOL Multiphysics R , and two time-dependent models for demagnetization of permanent magnets were compared, one using only internal models and the other using a proprietary external function. The study is simulation based and the two models were compared to a previously experimentally verified stationary model. Results showed that the power output decreased by more than 30% after five successive faults. In addition, the no-load voltage had become unsymmetrical, which was explained by the uneven demagnetization of the permanent magnets. The permanent magnet with the lowest reduction in average remanence was decreased by 0.8%, while the highest average reduction was 23.8% in another permanent magnet. The internal simulation model was about four times faster than the external model, but slightly overestimated the demagnetization.

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Detection of Eccentricity Faults in Five-Phase Ferrite-PM Assisted Synchronous Reluctance Machines

Cited by 12 publications

References 35 publications

Detection of Inter-Turn Faults in Multi-Phase Ferrite-PM Assisted Synchronous Reluctance Machines

Detection of Inter-Turn Faults in Multi-Phase Ferrite-PM Assisted Synchronous Reluctance Machines

Analysis of Vibrations in Interior Permanent Magnet Synchronous Motors Considering Air-Gap Deformation

Investigation of Permanent Magnet Demagnetization in Synchronous Machines during Multiple Short-Circuit Fault Conditions

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