Detection of Unbalanced Voltage Supply and Static Eccentricity on Three-Phase Induction Motor using Discrete Wavelet Transform

Alham, Nur Rani; Utomo, Restu Mukti; Asfani, Dimas Anton; Muslimin, Muslimin; Dewantara, Belly Yan

doi:10.1109/icitee49829.2020.9271691

Cited by 3 publications

(5 citation statements)

References 2 publications

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“…Two filters, h(n) and g(n), are obtained by the inner product of (ϕ(t), φ(t)) allowing the decomposition of the entire signal into [0, π]. The filters are given by [19][20][21][22][23][24]:…”

Section: Wavelet Decomposition and Energy Extractionmentioning

confidence: 99%

Induction motor mechanical defect diagnosis using DWT under different loading levels

Bouzida¹,

Abdelli²,

Boudouda³

2023

Acta Polytech

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The information extraction capability of the widely used signal processing tool, FFT for diagnosing induction machines, is commonly used at a constant load or at different levels. The loading level is a major influencing factor in the diagnostic process when the coupled load and the machine come with natural mechanical imperfections, and at a low load, the mechanical faults harmonics are strongly influenced. In this context, the main objective of this work is the detection of the mechanical faults and the study of the effect of the loading level on the induction motor diagnostic process. We have employed a diagnosis method based on discrete wavelet transform (DWT) for the multi-level decomposition of stator current and extracting the fault’s energy stored over a wide frequency range. The proposed approach has been experimentally tested on a faulty machine with dynamic eccentricity and a shaft misalignment for three loading levels. The proposed method is experimentally tested and the results are provided to verify the effectiveness of the fault detection and to point out the importance of the coupled load.

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Section: Wavelet Decomposition and Energy Extractionmentioning

confidence: 99%

Induction motor mechanical defect diagnosis using DWT under different loading levels

Bouzida¹,

Abdelli²,

Boudouda³

2023

Acta Polytech

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“…The balanced voltage is characterized by having the same magnitude value and a difference of 120°between the phases, when this condition is not ture the voltage is characterized as unbalanced. When there is an unbalance in the supply voltage, a TPIM can present some problems such as decreased performance and reduced machine life (Alham et al, 2020).…”

Section: Voltage Unbalancementioning

confidence: 99%

“…The most frequent causes of unbalanced voltages in a TPIM occur due to unstable power, single-phase loads distributed in the same energy system unevenly, an open circuit in the primary distribution system and atmospheric discharges in distribution circuits (Araújo et al, 2020). Unbalances considered small can reflect a great unbalance in the current of the TPIM, which can result in an increase in temperature and, thus, compromise the isolation of the TPIM (Alham et al, 2020).…”

Section: Voltage Unbalancementioning

confidence: 99%

Classification of the Supply Voltage conditions of a Three-Phase Induction Motor with Machine Learning techniques.

Silva

Oliveira

Nunes

et al. 2021

Procedings Do XV Simpósio Brasileiro De Automação Inteligente

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Three-Phase Induction Motors (TPIM) is a fundamental part, as they are the main responsible for carrying out the mechanical work process in the industry. It is estimated that they are responsible for consuming more than half of all energy destined for the industrial sector. Thus, any failure of operation in motors of this type is reflected in energy, economic and environmental losses. Among the most common failures is the unbalance of the supply voltages, which can cause total loss of the machine depending on the magnitude of the unbalance. This article addresses a comparative analysis between the Machine Learning K-Nearest Neighbors (KNN), Random Forest (RF), Suport Vector Machine (SVM), Principal Component Analysis (PCA) and Multilayer Perceptron Neural Network (MLP) techniques applied to the classification of unbalanced supply voltages of a three-phase induction motor. For this, a database was used with mechanical and electrical variables related to the balanced and unbalanced operation of the motor, divided into classes of different levels of unbalance according to the National Electrical Manufactores Association (NEMA).

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“…Several studies have revealed that induction machines are subject to different stresses applying on stator windings and causing different faults [5][6][7][8][9][10][11][12][13][14][15][16]. It has been illustrated that the stator asymmetries are considered as the most severe disturbances which cause severe effects such as increase losses, temperature rise, torque pulsation, vibration and noise [17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

“…The widely used approach for the analysis of the steady state operation of unbalanced electrical machines is based on the symmetrical components method [23][24][25]. The second approach is based on the finite elements method FEM [26][27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Theoretical and Experimental Analysis of the Squirrel Cage Induction Generators Operating under Unbalanced Conditions

Kouchih¹,

Hachelaf

2022

Preprint

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This work involves a new approach for the analysis of the squirrel cage induction generators operation operating under unbalanced load conditions. For this purpose, a state model is synthetized considering the change of the stator common point voltage during unbalanced conditions. Theoretical and experimental studies have been investigated to extract some important electromagnetic signatures such as common point voltage, stator voltages and currents. This approach offers a good compromise between modeling precision and simulation time. Simulation and experimental results show good coherence with previous results which have been obtained using symmetrical components and finite elements methods.

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Detection of Unbalanced Voltage Supply and Static Eccentricity on Three-Phase Induction Motor using Discrete Wavelet Transform

Cited by 3 publications

References 2 publications

Induction motor mechanical defect diagnosis using DWT under different loading levels

Induction motor mechanical defect diagnosis using DWT under different loading levels

Classification of the Supply Voltage conditions of a Three-Phase Induction Motor with Machine Learning techniques.

Theoretical and Experimental Analysis of the Squirrel Cage Induction Generators Operating under Unbalanced Conditions

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