Advanced Diagnosis of Rotor Faults and Eccentricity in Induction Motors Based on Internal Flux Measurement

Mirzaeva, Galina; Saad, Khalid

doi:10.1109/tia.2018.2805730

Cited by 49 publications

(33 citation statements)

References 30 publications

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“…It noted that the DE fault increases the amplitude of side-bands components (ASBCs) at frequencies 29. 14 Hence, the proposed frequency pattern and the index are valid for the eccentricity fault diagnosis in any PMVG. By increasing the eccentricity fault severity, the amplitude of the injected harmonic components increases.…”

Section: Fault Detectionmentioning

confidence: 84%

Permanent magnet vernier generator under dynamic eccentricity fault: diagnosis and detection

Ghods

Faiz

2020

IET Electric Power Applications

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Permanent magnet vernier generators (PMVGs) are suitable for meeting power concussion requirements of traffic enforcement cameras and traffic‐driven applications. In this study, the performance of PMVGs at no‐load and full‐load are analysed in healthy machines and machines under different types of mechanical faults including static eccentricity, dynamic eccentricity, inclined rotor, and run‐out faults. Furthermore, an analytical model is developed to estimate the air‐gap permeance and the induced voltages in the healthy generator and generator under the above‐mentioned mechanical faults. Then, the performance of the generator is predicted using a two‐dimensional and three‐dimensional time stepping finite‐element method. Finally, from the stator current spectrum of the PMVG under dynamic eccentricity fault, the amplitude of the side‐band components with a specific frequency pattern is extracted and compared with experimental results.

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Section: Fault Detectionmentioning

confidence: 84%

Permanent magnet vernier generator under dynamic eccentricity fault: diagnosis and detection

Ghods

Faiz

2020

IET Electric Power Applications

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“…The air gap is generally very narrow and is only about 10 −1 mm long. For the measurement methods for air gap magnetic fields, there are currently two main types: direct measurement methods [18][19][20] and indirect measurement methods [7,21,22]. The direct measurement mainly uses a linear Hall-effect flux sensor to directly detect the air gap magnetic field distribution.…”

Section: Introductionmentioning

confidence: 99%

Characteristic analysis and direct measurement for air gap magnetic field of external rotor permanent magnet synchronous motors in electric vehicles

Zhou

Yang

et al. 2020

IET Electric Power Applications

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In this study, the air gap magnetic field characteristics of external rotor permanent magnet synchronous motors (PMSMs) under both the stator and rotor coordinate systems considering low‐order current harmonics and high‐order sideband current harmonics are analysed. A direct measurement technique (DMT) for air‐gap magnetic field is proposed. First, an analytical model of air gap magnetic field of external rotor PMSMs is established. The spatial order and frequency characteristics of stator/rotor air gap magnetic field are revealed. Then, a 24‐pole 27‐slot external rotor PMSM is taken as an example. The analytical and finite element (FE) results are compared and analysed. The difference of the spatial order and frequency characteristics between the stator and rotor air gap magnetic field are verified. Next, a new DMT is proposed, which can detect the precise distribution and local microscopic characteristics on the order of 10−1 mm with high resolution. The accuracy of analytical and FE model are verified by the DMT and an indirect experimental test of no‐load back electromotive force. Finally, the mechanical challenges of in‐wheel motors and the practicablility of DMT for eccentricity detection are further discussed.

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“…In these scenarios, the frequencies of the fault harmonics are very close to the frequency of the fundamental, just some milihertz apart [8], and have a low amplitude, so that they may remain undetected, buried under the fundamental’s leakage until the damage is severe. To avoid false positives, some authors propose to replace the current signal by other quantities, such as the magnetic flux [9,10], vibrations [11,12,13,14,15], or modal currents [16], but these approaches require more complex hardware than MCSA. A proven approach is to use the same current acquired in MCSA, but replacing its spectral analysis by the spectral analysis of the current envelope [17], or the squared current [18].…”

Section: Introductionmentioning

confidence: 99%

Cost-Effective Reduced Envelope of the Stator Current via Synchronous Sampling for the Diagnosis of Rotor Asymmetries in Induction Machines Working at Very Low Slip

Burriel-Valencia

Puche-Panadero

Martínez-Román

et al. 2019

Sensors

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Fault diagnosis of rotor asymmetries of IM using the stator current relies on the detection of the characteristic signatures of the fault harmonics in the current spectrum. In some scenarios, such as large induction machines running at a very low slip, or unloaded machines tested offline, this technique may fail. In these scenarios, the fault harmonics are very close to the frequency of the fundamental component, and have a low amplitude, so that they may remain undetected, buried under the fundamental’s leakage, until the damage is severe. To avoid false positives, a proven approach is to search for the fault harmonics in the current envelope, instead of the current itself, because in this case the spectrum is free from the leakage of the fundamental. Besides, the fault harmonics appear at a very low frequency. Nevertheless, building the current spectrum is costly in terms of computing complexity, as in the case of the Hilbert transform, or hardware resources, as in the need for simultaneously sampling three stator currents in the case of the EPVA. In this work, a novel method is proposed to avoid this problem. It is based on sampling a phase current just twice per current cycle, with a fixed delay with respect to its zero crossings. It is shown that the spectrum of this reduced set of current samples contains the same fault harmonics as the spectrum of the full-length current envelope, despite using a minimal amount of computing resources. The proposed approach is cost-effective, because the computational requirements for building the current envelope are reduced to less than 1 % of those required by other conventional methods, in terms of storage and computing time. In this way, it can be implemented with low-cost embedded devices for on-line fault diagnosis. The proposed approach is introduced theoretically and validated experimentally, using a commercial induction motor with a broken bar under different load and supply conditions. Besides, the proposed approach has been implemented on a low-cost embedded device, which can be accessed on-line for remote fault diagnosis.

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Advanced Diagnosis of Rotor Faults and Eccentricity in Induction Motors Based on Internal Flux Measurement

Cited by 49 publications

References 30 publications

Permanent magnet vernier generator under dynamic eccentricity fault: diagnosis and detection

Permanent magnet vernier generator under dynamic eccentricity fault: diagnosis and detection

Characteristic analysis and direct measurement for air gap magnetic field of external rotor permanent magnet synchronous motors in electric vehicles

Cost-Effective Reduced Envelope of the Stator Current via Synchronous Sampling for the Diagnosis of Rotor Asymmetries in Induction Machines Working at Very Low Slip

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