Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review

Chen, Yong; Liang, Siyuan; Li, Wanfu; Liang, Hong; Wang, Chengdong

doi:10.3390/app9102116

Cited by 99 publications

(71 citation statements)

References 105 publications

(96 reference statements)

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“…Regarding the operation variables, these motors are known with prominent features of high efficiency, high power and torque density. Therefore, they are usually preferred selection in various home and industrial applications, such as electric vehicles, manufacturing systems, full-rated converterbased wind power systems and so on [1].…”

Section: Introductionmentioning

confidence: 99%

“…Stator inter-turn short circuit is considered as the most common fault in permanent magnet synchronous motors (PMSM) with about 31% of all failures [2]. The inherent aggressive growth and self-intensifying feature of the inter-turn fault in the stator lead to more faulty turns, phase-to-phase and phase-to-ground fault or can demagnetize permanent magnets irreversibly [1]. Consequently, the motor performance is seriously affected in the breakdown duration.…”

Section: Introductionmentioning

confidence: 99%

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Observer-Based Method of Feature Extraction for the Fault Detection of Permanent Magnet Synchronous Motors

Vu¹,

Huyen²

2021

Adv. sci. technol. eng. syst. j.

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This paper presents a new observer-based method which deals with the extraction of amplitude of characteristic frequencies for the fault diagnosis in permanent magnet synchronous motors (PMSM). First, a pilot survey is made to investigate the typical harmonics in the line currents of PMSM. Second, an appropriate structure of observer is formulated with the input of current signature in the time domain. By transforming into the Laplace domain, the convergence of the observer is proven. Using the proposed observer, a feature extraction method for fault detection can be introduced; in which the Park's vector module (PVM) of the line currents is selected as the signature for the feature extraction of the amplitude at the second order harmonic. Simulation and experiment of the PMSM operating in speed control mode are carried out to provide the line current data for analysis. The results show that the amplitude of second order harmonic can be calculated and on-line monitored that demonstrates the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Observer-Based Method of Feature Extraction for the Fault Detection of Permanent Magnet Synchronous Motors

Vu¹,

Huyen²

2021

Adv. sci. technol. eng. syst. j.

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show abstract

“…Stator faults in electrical faults have a higher probability, and inter-turn short-circuit faults are the most common. Due to overload and overheating, the stator winding insulation is easily damaged, resulting in a short circuit and a large circulating current in the short path [2]. Among these faults, the early indications of inter-turn short-circuits in the stator winding can be especially hard to detect, but, at the same time, if they are not suppressed, they can cause more serious ground faults and interphase short-circuit faults [3,4].…”

Section: Introductionmentioning

confidence: 99%

Inter-turn Fault Identification of Surface-Mounted Permanent Magnet Synchronous Motor Based on Inverter Harmonics

Gao

Zhang

et al. 2020

Energies

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Inter-turn short-circuit faults can lead to further faults in motors. This makes monitoring and identifying such faults particularly important. However, because of interference in their working environment, fault signals can be weak and difficult to detect in permanent magnet synchronous motors. This paper proposes a method for overcoming this by extracting the inverter harmonics as an excitation source and then extracting characteristic of fault measurements from the negative sequence voltage. First of all, a model of permanent magnet synchronous motor faults is established and a fault negative sequence voltage is introduced to calculate the fault indicators. Then the high frequency harmonic excitation in the voltage is extracted. This is injected into the original voltage signal and the high frequency negative sequence component is separated and detected by a second-order generalized integrator. Simulation results show that the proposed method can effectively identify inter-turn short-circuit faults in permanent magnet synchronous motors while remaining highly resistant to interference. The method is especially effective when the severity of the fault is relatively small and the torque is relatively large.

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“…Therefore, it is very important to study fault detection and diagnosis technology for PMSMs. A review of faults and diagnosis methods of PMSMs was previously presented [1]. In the reference, faults in PMSMs were classified into electrical faults, mechanical faults, and magnetic faults [2].…”

Section: Introductionmentioning

confidence: 99%

Failure Diagnosis of Demagnetization in Interior Permanent Magnet Synchronous Motors Using Vibration Characteristics

Ishikawa

Igarashi

2019

Applied Sciences

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The detection of a precursor to the demagnetization of permanent magnets is very important because a high degree of reliability is necessary in permanent magnet synchronous motors (PMSMs). This paper investigated the diagnosis of very slight PM demagnetization. A part of the permanent magnet was altered to non-magnetic material so as to mimic the effect of demagnetization. The vibration characteristics were clarified for low demagnetization in PMSMs driven under vector control by experiments and 3D finite element (FE) analysis. We found that the amplitude of some components of the vibration was approximately proportional to the demagnetization level of the PM and the load torque. Therefore, the measurement of vibration and torque is very useful for the estimation of the magnetization level of PMSMs under vector control except for under very light load.

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Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review

Cited by 99 publications

References 105 publications

Observer-Based Method of Feature Extraction for the Fault Detection of Permanent Magnet Synchronous Motors

Observer-Based Method of Feature Extraction for the Fault Detection of Permanent Magnet Synchronous Motors

Inter-turn Fault Identification of Surface-Mounted Permanent Magnet Synchronous Motor Based on Inverter Harmonics

Failure Diagnosis of Demagnetization in Interior Permanent Magnet Synchronous Motors Using Vibration Characteristics

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