Online Detection of High-Resistance Connections in Multiphase Induction Machines

Zarri, L.; Mengoni, Michele; Tani, A.; Gritli, Y.; Serra, G.; Filippetti, F.; Casadei, D.

doi:10.1109/tpel.2014.2357439

Cited by 49 publications

(30 citation statements)

References 23 publications

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“…Though this assumption has been verified in some cases [6], [7], [13], it is not always true. As a matter of fact, it has been pointed out that the leakage inductances in the fundamental (α-β) and non-fundamental subspace can be very different one from the other [8], [14], [15], depending on the machine stator winding design. Under such circumstances, aforementioned parameter estimation methods are no longer valid.…”

Section: Introductionmentioning

confidence: 99%

Parameter Estimation of Asymmetrical Six-Phase Induction Machines Using Modified Standard Tests

Seng

Abdel‐Khalik

Dordevic

et al. 2017

IEEE Trans. Ind. Electron.

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Section: Introductionmentioning

confidence: 99%

Parameter Estimation of Asymmetrical Six-Phase Induction Machines Using Modified Standard Tests

Seng

Abdel‐Khalik

Dordevic

et al. 2017

IEEE Trans. Ind. Electron.

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“…2, for simulating the fault, a resistance R asym = 0.09 Ω (equivalent rotor referred to stator resistance R asym = 0.27 Ω) is connected in series with one of the rotor phases. This configuration simulates an high-contact resistance connection fault in actual machines [31], [32]. Applying a variable wind speed to the model, a rotor speed evolution shown in Fig.…”

Section: Proposed Methodologymentioning

confidence: 99%

Harmonic Order Tracking Analysis: A Speed-Sensorless Method for Condition Monitoring of Wound Rotor Induction Generators

Sapena-Bañó

Riera-Guasp

Puche-Panadero

et al. 2016

IEEE Trans. on Ind. Applicat.

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Abstract-This paper introduces a speed-sensorless method for detecting rotor asymmetries in wound rotor induction machines working under non-stationary conditions. The method is based on the time-frequency analysis of rotor currents and on a subsequent transformation which leads to the following goals: unlike conventional spectrograms, it enables to show the diagnostic results as a simple graph, similar to a Fourier spectrum, but where the fault components are placed always at the same positions, regardless the working conditions of the machine; moreover, it enables to assess the machine condition through a very small set of parameters. These characteristics facilitates the understanding and processing of the diagnostic results and thus, help to design improved monitoring and predictive maintenance systems. Also these features make the proposed method very suitable for condition monitoring of wind power generators, because it fits well with the usual non-stationary working conditions of wind turbines, and makes feasible the transmission of significant diagnostic information to the remote monitoring center, using standard data transmission systems. Simulation results and experimental tests, carried out on a 5kW laboratory rig, show the validity of the proposed method and illustrate its advantages regarding previously developed diagnostic methods under non-stationary conditions.

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“…They have another distinguished advantage which is the improved reliability and continuous system operation even in the fault condition [7]. Among the available multiphase machines that have been proposed by Mengoni et al and Immovilli et al [8][9][10], the five-phase induction machines (FPIM) are now recognized as a practical selections in safety-critical high power applications, because of their ability to increase at least 10% of torque compared to its threephase counterpart of the same active volume [11], in addition to the fact that they present a serious option that offers better machine performance under fault conditions [12].…”

Section: Introductionmentioning

confidence: 99%

Remedial Robust Control of Five-Phase Fault-Tolerant Induction Motor with Open-End Winding using Reduced-Order Transformation Matrices

Khadar¹,

Kouzou²,

Benguesmia³

2019

MMC_A

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Five-phase fault-tolerant induction motor (FPIM) with open-end winding (OEW) can offer low torque ripple and it has a merit of high fault-tolerant capability due to its large number of phases. In order to improve the operation performance under an open singlephase. This paper proposes a Remedial Backstepping Control (RBSC) technique for a FPIM-OEW with the ability to run the system before and after fault condition. Hence, the FPIM-OEW losses are decreased, which improves the overall machine efficiency. The proposed RBSC technique lies in the orthogonal reduced-order transformation matrix, which is derived from the fault-tolerant current references, and a new zero-sequence current related to torque ripple. Also, the effect of the open-phase fault on the motor model under the transformation matrix is discussed. The simulation results of the proposed technique under open single-phase are provided, wherein we demonstrate the effectiveness of the proposed strategy with a fast dynamic and steady-state performances as that under healthy operation.

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Online Detection of High-Resistance Connections in Multiphase Induction Machines

Cited by 49 publications

References 23 publications

Parameter Estimation of Asymmetrical Six-Phase Induction Machines Using Modified Standard Tests

Parameter Estimation of Asymmetrical Six-Phase Induction Machines Using Modified Standard Tests

Harmonic Order Tracking Analysis: A Speed-Sensorless Method for Condition Monitoring of Wound Rotor Induction Generators

Remedial Robust Control of Five-Phase Fault-Tolerant Induction Motor with Open-End Winding using Reduced-Order Transformation Matrices

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