A Voltage-Based Approach for Fault Detection and Separation in Permanent Magnet Synchronous Machines

Haddad, Reemon Z.; Lopez, Cristian A.; Foster, Shanelle N.; Strangas, Elias G.

doi:10.1109/tia.2017.2726072

Cited by 45 publications

(23 citation statements)

References 17 publications

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“…The points in V d -V q plane should shift in top left direction for static eccentricity. The shift is unique, with respect to the fault type, as shown in [9]. Shift of V d /V q points for different faults is shown in Figure 1.…”

Section: Commanded Voltages Methodsmentioning

confidence: 95%

“…Therefore, there is a need of detection scheme that is capable of fault separation as well. In [9], it is shown that commanded voltages method is comparatively simple to implement, non-invasive and was used for fault separation. Therefore this detection method is unique for static eccentricity fault detection.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore this detection method is unique for static eccentricity fault detection. Also, in [9] it is shown that under higher operating loads, detection is difficult, but this paper does not discuss the operating load required for maximum separation between healthy and faulty case. Incremental inductance method is proposed in [10,11] to detect static eccentricity under offline conditions based on the shift in the peak of the curve.…”

Section: Introductionmentioning

confidence: 99%

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Review of Detection Methods of Static Eccentricity for Interior Permanent Magnet Synchronous Machine

Aggarwal

Strangas

2019

Energies

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This paper compares the detection methods of static eccentricity in Interior Permanent Magnet Synchronous Machines (IPMSM). Four methods are discussed: The first method uses shift in the voltages in d–q plane to detect fault. The second method uses shift in peak of the incremental inductance curve for fault detection. The third method uses the combined information of harmonics present both in current and voltage to detect the fault. This makes the detection robust with respect to current controller bandwidth. Finally, the fourth method used for detection includes measuring vibrations using accelerometers. It is shown that all four methods detected static eccentricity. These methods are compared on the basis of utility of fault detection under online or offline conditions and under saturated conditions. For all four methods the machine was tested at healthy, 25% and 50% static eccentricity levels. Two-dimensional (2-D) Finite element analysis was used for simulating machine under healthy and faulty cases. The experiments were performed by controlling the machine using Labview Real-time.

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Section: Commanded Voltages Methodsmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Review of Detection Methods of Static Eccentricity for Interior Permanent Magnet Synchronous Machine

Aggarwal

Strangas

2019

Energies

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“…However, if different classes overlap on each other and there is no distinct border between different distribution regions, K = 1 fails to give reliable classification performance and higher values of K should be used. The K-NN has been employed in the diagnosis process of PMSMs under eccentricity fault in [30][31][32][33][34].…”

Section: Intelligent Algorithmsmentioning

confidence: 99%

“…Judging on the difference between the estimated and real command voltages, and using classifier algorithms, presence of the fault, fault type, and fault severity are determined passively. Three different classifiers have been used in [34]. These methods are of the KNN, quadrature discriminant analysis, and LDA.…”

Section: Dq0 Frame Command Voltage Error (Fifth Index)mentioning

confidence: 99%

Eccentricity fault diagnosis indices for permanent magnet machines: state‐of‐the‐art

Faiz

Nejadi-Koti

2019

IET Electric Power Applications

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Eccentricity fault with 10% severity is probably the only existing fault in a brand new healthy electrical machine that is acceptable as a manufacturing tolerance. This fault can be developed due to a continuous pull between stator and rotor, even in a de-energized machine. So, it must be diagnosed,and its severity monitored. The authors introduced and criticized various indices for eccentricity fault diagnosis. Advantages, drawbacks, and ambiguous points of each index and potential ground for improvement of these techniques are addressed. Moreover, different eccentric PM machine modelling techniques are reviewed and environmental factors affecting the eccentricity fault detection process are discussed. This survey covers all direct current and alternating current PM machines. It provides information about the researches performed since 1986 and it is helpful to newcomers to this field, artisans, and protection system designers. Considering the given information, the readers achieve enough understanding of the weaknesses and strong points of each eccentricity fault diagnosis index. Then, these indices are evaluated through assigning weight coefficients under various scenarios. Interested individuals can modify these weight coefficients based on the specifics of the application and decide which index is the most appropriate.

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Applications and Specifics

2021

Electrical Safety Engineering of Renewable EnergySystems

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A Voltage-Based Approach for Fault Detection and Separation in Permanent Magnet Synchronous Machines

Cited by 45 publications

References 17 publications

Review of Detection Methods of Static Eccentricity for Interior Permanent Magnet Synchronous Machine

Review of Detection Methods of Static Eccentricity for Interior Permanent Magnet Synchronous Machine

Eccentricity fault diagnosis indices for permanent magnet machines: state‐of‐the‐art

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