Multiple Reference Frames Theory: A New Method for the Diagnosis of Stator Faults in Three-Phase Induction Motors

Abstract-A breakdown of the electrical insulation system causes catastrophic failure of the electrical machine and brings large process downtime losses. To determine the conditions of the stator insulation system of motor drive systems, various testing and monitoring methods have been developed. This paper presents an in-depth literature review of testing and monitoring methods, categorizing them into online and offline methods, each of which is further grouped into specific areas according to their physical nature. The main focus of this paper is on testing and monitoring techniques that diagnose the condition of the turn-to-turn insulation of low-voltage machines, which is a rapidly expanding area for both research and product development efforts. In order to give a compact overview, the results are summarized in two tables. In addition to monitoring methods on turn-to-turn insulation, some of the most common methods to assess the stator's phase-to-ground and phase-to-phase insulation conditions are included in the tables as well.

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“…The monitoring of the negative sequence current for fault detection is the subject of several papers [34], [69]- [76].…”

Section: ) Negative-sequence Currentmentioning

confidence: 99%

A Survey on Testing and Monitoring Methods for Stator Insulation Systems of Low-Voltage Induction Machines Focusing on Turn Insulation Problems

Grubic

Aller

Lü

et al. 2008

IEEE Trans. Ind. Electron.

401

178

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“…While in the occurrence of interturn short circuits, the Park vector pattern manifests to an elliptic representation and with the severity of fault the ellipticity increases. Through experiments and simulation results it has been proven that Park vector is a reliable approach to detect the interturn fault but does not investigate unbalanced voltage supply [20,21].…”

Section: The Stator Line Currentmentioning

confidence: 99%

Noninvasive Methods for Condition Monitoring and Electrical Fault Diagnosis of Induction Motors

Sheikh¹,

Nor²,

Ibrahim³

et al. 2017

Fault Diagnosis and Detection

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This chapter provides a comprehensive analysis of noninvasive methods to diagnose stator winding insulation faults of an induction motor. Further, a novel noninvasive method is proposed to diagnose the root cause of winding failure due to unbalanced voltage to avoid catastrophic failure. Therefore, a winding function approach is utilized to derive an analytical expression for stator winding distribution and magnetomotive force (MMF). This tactic qualifies the conductor segment that generates MMF, and it also helps to analyze a healthy current spectrum. One can easily observe higher order harmonics in current spectrum; therefore, a new series of rotor harmonics is introduced to diagnose unbalanced supply. The locus of these harmonics is dependent on the poles, rotor bars, and slip. Due to the rapid complexity in industrial plants, it is inconceivable to continue human inspection to diagnose the faults. Thus, to avoid human inspection, in addition to new series of rotor harmonic, a fully automatic method based on neural network is proposed. This method not only diagnoses unbalanced voltage but it also recognize the percentage of unbalanced voltage by use of feed-forward multilayer perceptron (MLP) trained by back propagation. Finally, the experimental results shows the validation of this research work proposed method.

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“…Hence, the number of differential equations describing the IM is incremented by one compared to the healthy IM. Such modelling approaches are reported in [5], [6], [7] and most recently [8]. In the latter, voltage equations in two axes are provided, indicating that additional differential equations are indeed necessary.…”

Section: Introductionmentioning

confidence: 99%

Idealized Two-Axis Model of Induction Machines under Stator Fault

Stocks

Rodyukov

Medvedev

2006

2006 1ST IEEE Conference on Industrial Electronics and Applications

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In this paper, a low differential order model describing the dynamics of IMs with faulty stator is developed. The modelling is performed under well established idealizing assumptions regarding the magnetic and electrical properties of the motor. Typical motor faults as inter-turn short circuit and increased winding resistance are taken into account. The resulting model can be handled analytically and serve as a ground for fault detection and fault tolerant control of the IM. For each of the considered faults, very good agreement between simulations and experimental data collected from mass-produced industrial IMs is observed. NomenclatureVariablesFor both the variables and parameters, a capital letter subscript refers to the corresponding stator axis in a conventional three-axis system. Similarly, a small letter subscript refers to the corresponding rotor axis. The units for the variables and parameters are SI-units which are omitted for the sake of clarity. Throughout the paper, bold capital letters stand for matrices, whereas small/capital letters denote scalars and vectors. Finally, differentiation with respect to time is denoted by the dot, i.e.ẋ = dx dt .

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Multiple Reference Frames Theory: A New Method for the Diagnosis of Stator Faults in Three-Phase Induction Motors

Cited by 135 publications

References 25 publications

A Survey on Testing and Monitoring Methods for Stator Insulation Systems of Low-Voltage Induction Machines Focusing on Turn Insulation Problems

A Survey on Testing and Monitoring Methods for Stator Insulation Systems of Low-Voltage Induction Machines Focusing on Turn Insulation Problems

Noninvasive Methods for Condition Monitoring and Electrical Fault Diagnosis of Induction Motors

Idealized Two-Axis Model of Induction Machines under Stator Fault

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