Exploiting rotor slotting harmonics to determine and separate static and dynamic air-gap eccentricity in induction machines

Samonig, M. A.; Wolbank, T.M.

doi:10.1109/demped.2017.8062333

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…A different technique described in [112] analyzes the transient current response of an IM to an excitation with voltage pulses provided by the inverter switching and proves that the indicator achieved from the transient current response does not depend on the number of slots per pole, while the performance of the MCSA is affected by this parameter.…”

Section: Airgapmentioning

confidence: 99%

Novel Diagnostic Techniques for Rotating Electrical Machines—A Review

Frosini

2020

Energies

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This paper aims to update the review of diagnostic techniques for rotating electrical machines of different type and size. Each of the main sections of the paper is focused on a specific component of the machine (stator and rotor windings, magnets, bearings, airgap, load and auxiliaries, stator and rotor laminated core) and divided into subsections when the characteristics of the component are different according to the type or size of the machine. The review considers both the techniques currently applied on field for the diagnostics of the electrical machines and the novel methodologies recently proposed by the researchers in the literature.

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Section: Airgapmentioning

confidence: 99%

Novel Diagnostic Techniques for Rotating Electrical Machines—A Review

Frosini

2020

Energies

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“…Moreover, research efforts are also dedicated to realizing real-time eccentricity visualization based on auxiliary injection. The trajectory of transient current change vector has been proposed using high-frequency pulsating voltage [67][68][69]. It is a real-time visualized offline approach, while its theory does not match well with tests.…”

Section: Auxiliary Voltage Injectionmentioning

confidence: 99%

A Review of Modeling and Diagnostic Techniques for Eccentricity Fault in Electric Machines

Liu

Zhang

et al. 2021

Energies

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Research on the modeling and fault diagnosis of rotor eccentricities has been conducted during the past two decades. A variety of diagnostic theories and methods have been proposed based on different mechanisms, and there are reviews following either one type of electric machines or one type of eccentricity. Nonetheless, the research routes of modeling and diagnosis are common, regardless of machine or eccentricity types. This article tends to review all the possible modeling and diagnostic approaches for all common types of electric machines with eccentricities and provide suggestions on future research roadmap. The paper indicates that a reliable low-cost non-intrusive real-time online visualized diagnostic method is the trend. Observer-based diagnostic strategies are thought promising for the continued research.

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“…Among the signal injection techniques, high frequency (HF) signals have been used for the detection of those faults that produce modifications in the magnetic couplings of the machine, as airgap eccentricity [18], broken rotor bars [19] or winding faults [20]. Some methods are based on the rotating or pulsating-type HF signal injection superimposed on the controller command voltage [20][21][22][23][24], others apply inherent HF components of the drive pulse width modulation (PWM), shortly modifying the modulation to inject predefined switching vectors [24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Stator inter‐turn faults diagnosis in induction motors using zero‐sequence signal injection

Otero

Barrera

Bossio

et al. 2020

IET Electric Power Applications

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This study presents a strategy for stator inter-turn faults diagnosis in induction motors (IMs) operating under timevariable load and time-variable speed conditions. The strategy consists in injecting a zero-sequence high-frequency signal in order to analyse variations in the stator inductances. Incipient stator inter-turn faults are detected by a simple signal processing of the derivatives of the currents. A feature of the strategy is that the zero-sequence high-frequency signal is generated by the inverter that feeds the machine, without modifying the standard space vector modulation of the IM-drive. Experimental results show that faults representing <1% of the stator winding can be detected, as well as the phase location of the fault, validating this proposal.

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Exploiting rotor slotting harmonics to determine and separate static and dynamic air-gap eccentricity in induction machines

Cited by 6 publications

References 12 publications

Novel Diagnostic Techniques for Rotating Electrical Machines—A Review

Novel Diagnostic Techniques for Rotating Electrical Machines—A Review

A Review of Modeling and Diagnostic Techniques for Eccentricity Fault in Electric Machines

Stator inter‐turn faults diagnosis in induction motors using zero‐sequence signal injection

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