Detecting Eccentricity and Demagnetization Fault of Permanent Magnet Synchronous Generators in Transient State

Attestog, Sveinung; Khang, Huynh Van; Robbersmyr, Kjell G.

doi:10.1109/icems.2019.8921753

Cited by 9 publications

(6 citation statements)

References 9 publications

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“…Magnetic flux sensors can be installed at various locations inside electrical machines. Here, these positions are categorised as follows (see Figure 4): � IPS1: a search coil (SC) around a stator tooth in induction machines (IMs) [4,[40][41][42][43][44] and permanent magnet machines (PMMs) [45][46][47][48][49][50][51][52], � IPS2: an SC which its straight section goes inside the slot under the stator slot wedge and comes out of the machine through holes in stator housing [53],…”

Section: Internal Magnetic Fluxmentioning

confidence: 99%

“…Magnetic flux sensors can be installed at various locations inside electrical machines. Here, these positions are categorised as follows (see Figure 4): IPS1 : a search coil (SC) around a stator tooth in induction machines (IMs) [4, 40–44] and permanent magnet machines (PMMs) [45–52], IPS2 : an SC which its straight section goes inside the slot under the stator slot wedge and comes out of the machine through holes in stator housing [53], IPS3 : a Hall‐effect flux sensors (HEFSs)/flux‐gate magnetometer (FGM)/tunnelling magnetoresistor (TMR) on a stator tooth between the extension of two coils coming out of stator slots [54], IPS4 : an Fibre Bragg Grating (FBG)‐Terfenol‐D sensor in the stator slot wedge [32], and IPS5 : a HEFS/FGM/TMR on the stator bore inside the airgap. …”

Section: Magnetic Flux Monitoring Techniquesmentioning

confidence: 99%

“…IPS1 : a search coil (SC) around a stator tooth in induction machines (IMs) [4, 40–44] and permanent magnet machines (PMMs) [45–52],…”

Section: Magnetic Flux Monitoring Techniquesmentioning

confidence: 99%

See 2 more Smart Citations

Airgap and stray magnetic flux monitoring techniques for fault diagnosis of electrical machines: An overview

Mazaheri‐Tehrani

Faiz

2021

IET Electric Power Appl

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Flux-based fault diagnosis methods have attracted ever-increasing attention from technical communities because of their potential diagnostic capabilities and ability to overcome weaknesses of the traditional methods such as motor current signature analysis (MCSA). This study reviews recent literature on these methods and addresses their strengths and limitations. Different types of flux sensors that can be used for fault diagnosis applications are also discussed. Flux-based approaches are classified based on the type of utilised flux into internal (airgap flux) and external (stray flux) methods and compared with each other. The most common faults in both induction machines (IMs) and permanent magnet machines (PMMs), including inter-turn short-circuit (ITSC), airgap eccentricity (AGE), rotor broken bars (BRB), and irreversible demagnetisation (IDM) faults, are considered in this review. Finally, research gaps are identified, and some suggestions for future research in this area are provided.

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Section: Internal Magnetic Fluxmentioning

confidence: 99%

Section: Magnetic Flux Monitoring Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

Airgap and stray magnetic flux monitoring techniques for fault diagnosis of electrical machines: An overview

Mazaheri‐Tehrani

Faiz

2021

IET Electric Power Appl

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“…Da et al directly measured the flux with the search coil, which could detect the direction of static eccentricity fault [8]. S. Attestog et al proposed that the search coil can also detect DAGE faults [9]. Then, He et al utilized the non-invasive external search coil to detect the eccentricity fault [6].…”

Section: Introductionmentioning

confidence: 99%

Experimental Simulation and Electromechanical Characterization of Dynamic Air Gap Eccentricity Faults inPMSG

He,

Dai,

et al. 2023

IEEJ Transactions Elec Engng

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This paper presents a designed experimental simulation scheme for dynamic air gap eccentricity (DAGE) faults in permanent magnet synchronous generator (PMSG), along with the testing of their electromechanical characteristics. Unlike previous studies, this paper proposes and applies an experimental device setting scheme that enables accurate and convenient calibration of the DAGE fault degree, offering a novel solution for practical DAGE simulation. The experimental unit measures the electromechanical characteristics of the PMSG before and after the DAGE fault, taking into account the influence of load. The mechanical parameter considered is the stator vibration, while the electrical parameter is the circulating current parallel branches (CCPB) inside the stator winding. The characteristic frequencies of stator vibration and CCPB under the DAGE fault are analyzed based on the experimental results and verified through theoretical calculations and finite element analysis (FEA). The findings demonstrate the effectiveness of the proposed DAGE experimental device. Moreover, DAGE failure increases the strength of stator vibration and introduces new frequency components, namely fr and 2f ± fr. Under normal operation, the PMSG exhibits no CCPB. However, DAGE faults cause CCPB with frequency components of f ± fr. Moreover, the severity of the fault degree positively correlates with larger root‐mean‐square (RMS) values and characteristic frequency amplitudes of stator vibration and CCPB. Furthermore, the amplitude of stator vibration and CCPB decreases with increasing load. © 2023 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

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“…Yao Da proposed a new method for motor health monitoring using search coil to measure the magnetic flux directly, which has a great superiority on detecting the direction of RSAGE [13]. Based on the reference [13], Sveinung Attestog added the research of RDAGE [14]. What's more, the method to detect the rotor eccentric position using the external search coils was also proposed [15].…”

Section: Introductionmentioning

confidence: 99%

Effect of static/dynamic air‐gap eccentricity on stator and rotor vibration characteristics in doubly‐fed induction generator

Dai

et al. 2022

IET Electric Power Appl

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This article has conducted a comprehensive study on the stator and rotor vibration characteristics of the doubly‐fed induction generator (DFIG) in the case of radial air gap eccentricity (RAGE). Differently from other previous studies, this paper not only investigates the vibration characteristics of stator and rotor in radial static air gap eccentricity (RSAGE) and radial dynamic air‐gap eccentricity (RDAGE) fault but also takes the radial hybrid air gap eccentricity (RHAGE) into account. Through theoretical derivation, the detailed expressions of stator magnetic pull per unit area (MPPUA) and rotor unbalanced magnetic pull (UMP) are obtained. The finite element analysis (FEA) and experiment based on a two pairs of poles DFIG, and the results are consistent with theoretical calculations. It is shown that RAGE will enlarge the magnitude of stator MPPUA/vibration and rotor UMP/vibration. Specifically, RSAGE will not change the frequency components of stator MPPUA/vibration but will bring new frequency components to rotor UMP/vibration. However, both stator MPPUA/vibration and rotor UMP/vibration will generate new frequency components during RDAGE fault. In addition, the effect of RHAGE is the superposition of RSAGE and RDAGE. The research conclusions obtained in this paper can be used as a supplementary criterion for diagnosing the eccentricity of DFIG.

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Detecting Eccentricity and Demagnetization Fault of Permanent Magnet Synchronous Generators in Transient State

Cited by 9 publications

References 9 publications

Airgap and stray magnetic flux monitoring techniques for fault diagnosis of electrical machines: An overview

Airgap and stray magnetic flux monitoring techniques for fault diagnosis of electrical machines: An overview

Experimental Simulation and Electromechanical Characterization of Dynamic Air Gap Eccentricity Faults inPMSG

Effect of static/dynamic air‐gap eccentricity on stator and rotor vibration characteristics in doubly‐fed induction generator

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