Comprehensive review on inter‐turn fault indexes in permanent magnet motors

Faiz, Jawad; Nejadi-Koti, Hossein; Valipour, Zahra

doi:10.1049/iet-epa.2016.0196

Cited by 71 publications

(41 citation statements)

References 99 publications

(124 reference statements)

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“…The basic principle of MCSA is that the frequency domain features of the stator current will change (e.g., 3rd harmonic was observed) in the event of an inter-turn short. The classical MCSA methods include Fourier-transform-based methods [18,19], and wavelet-transform-based methods [20,21].…”

Section: (1) Inter-turn Short Fault Detection Methodsmentioning

confidence: 99%

Degradation Monitoring of Insulation Systems Used in Low-Voltage Electromagnetic Coils under Thermal Loading Conditions from a Creep Point of View

Wang

Guo

et al. 2020

Sensors

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Electromagnetic coils are a key component in a variety of systems and are widely used in many industries. Because their insulation usually fails suddenly and can have catastrophic effects, degradation monitoring of coil insulation systems plays a vital role in avoiding unexpected machine shutdown. The existing insulation degradation monitoring methods are based on assessing the change of coil high-frequency electrical parameter response, whereas the effects of the insulation failure mechanisms are not considered, which leads to inconsistency between experimental results. Therefore, this paper investigates degradation monitoring of coil insulation systems under thermal loading conditions from a creep point of view. Inter-turn insulation creep deformation is identified as a quantitative index to manifest insulation degradation changes at the micro level. A method is developed to map coil high-frequency electrical monitoring parameters to inter-turn insulation creep deformation in order to bridge the gap between the micro-level and macro-level changes during the incipient insulation degradation process. Thermally accelerated tests are performed to validate the developed method. The mapping method helps to determine the physical meaning of coil electrical monitoring parameters and presents opportunities for predictive maintenance of machines that incorporate electromagnetic coils.

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Section: (1) Inter-turn Short Fault Detection Methodsmentioning

confidence: 99%

Degradation Monitoring of Insulation Systems Used in Low-Voltage Electromagnetic Coils under Thermal Loading Conditions from a Creep Point of View

Wang

Guo

et al. 2020

Sensors

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“…A great deal of research proposes how to classify the damage types, such as stator breakdowns, and have employed various approaches [6][7][8][9][10][11][12], including magnetic pendulous oscillation, motor current signature analysis, instantaneous active and reactive power signature analyses, and total harmonic voltage. Studies on rotor breakdowns [13][14][15][16] have used mathematical morphology and wavelet analysis.…”

Section: Introductionmentioning

confidence: 99%

Induction Motors Condition Monitoring System with Fault Diagnosis Using a Hybrid Approach

et al. 2019

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This study develops a condition monitoring system, which includes operating condition monitoring (OCM) and fault diagnosis analysis (FDA). The OCM uses a vibration detection approach based on the ISO 10816-1 and NEMA MG-1 international standards, and the FDA uses a vibration-electrical hybrid approach based on various indices. The system can acquire real-time vibration and electrical signals. Once an abnormal vibration has been detected by using OCM, the FDA is applied to classify the type of faults. Laboratory results indicate that the OCM can successfully diagnose induction motors healthy condition, and FDA can classify the various damages stator fault, rotor fault, bearing fault and eccentric fault. The FDA with the hybrid approach is more reliable than the traditional approach using electrical detection alone. The proposed condition monitoring system can provide simple and clear maintenance information to improve the reliability of motor operations.

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“…The common faults of PMSM are winding, demagnetisation, and mechanical faults. The inter-turn fault is a common fault of the winding fault and makes up ∼21% of all the faults [3][4][5]. The influence of inter-turn fault on the PMSM is generally small at the early stage, thereby allowing the PMSM to still keep working.…”

Section: Introductionmentioning

confidence: 99%

Inter‐turn fault diagnosis of permanent magnet synchronous machine based on tooth magnetic flux analysis

Zhang

Huang

Yang

et al. 2018

IET Electric Power Applications

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This study proposes a novel inter-turn fault diagnosis method for a permanent magnet synchronous machine. Search coils are set on every stator tooth to measure the tooth fluxes. The high-order harmonics produced by the inverter are adopted to diagnose the inter-turn fault existence and locate the fault tooth. The fault severity coefficient is proposed on the basis of theoretical analysis and can identify the fault severity. A comparative analysis of a traditional method based on co-simulation shows that the proposed method is sensitive and that the fault severity coefficient is accurate, intuitive and independent of the operating condition of the motor. An experimental platform is set up, and it validates the effectiveness of the proposed method.

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Comprehensive review on inter‐turn fault indexes in permanent magnet motors

Cited by 71 publications

References 99 publications

Degradation Monitoring of Insulation Systems Used in Low-Voltage Electromagnetic Coils under Thermal Loading Conditions from a Creep Point of View

Degradation Monitoring of Insulation Systems Used in Low-Voltage Electromagnetic Coils under Thermal Loading Conditions from a Creep Point of View

Induction Motors Condition Monitoring System with Fault Diagnosis Using a Hybrid Approach

Inter‐turn fault diagnosis of permanent magnet synchronous machine based on tooth magnetic flux analysis

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