Neural Network Based Fault Diagnosis of Three Phase Inverter Fed Vector Control Induction Motor

Chérif, Bilal Djamal Eddine; Bendiabdellah, Azeddine; Bendjebbar, Mokhtar; Tamer, Amina

doi:10.3311/ppee.14315

Cited by 12 publications

(11 citation statements)

References 17 publications

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“…Then based on the Voltage Response measurement results of insulation models, a nonlinear function fitting method using genetic algorithms via the Ārtap framework is adopted. This helps in the selection of the most accurate optimization algorithm from the provided list of the algorithms [13,14]. The results show that the technique was helpful in the computationally hard problem to calculate the R and C parameters of the Debye model due to its powerful processing ability and faster calculation speed.…”

Section: Introductionmentioning

confidence: 98%

Parameterization of Debye Model for Dielectrics Using Voltage Response Measurements and a Benchmark Problem

Mustafa

Németh

Afia

et al. 2021

Period. Polytech. Elec. Eng. Comp. Sci.

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The Voltage Response measurement since its introduction in the 1960s has been used successfully for the diagnostics of electrical insulation. The method is based on two quantities of decay and return voltage slopes and can be used to study the conduction and polarization processes inside the insulation. Extended Voltage Response method, being an advanced version of the Voltage Response measurement helps in further studying the polarization process by using a large polarization spectrum and hence dielectric relaxation processes. These dielectric relaxation processes can be modeled by the Debye model. Since as most of the techniques used for diagnostic purpose does not give the information about the conduction and polarization processes separately, it is difficult to determine the R-C parameters of the Debye model. The Voltage Response technique is very useful in this regard because of the two voltage slopes. The paper shows a novel experimental benchmark for testing the function fitting methodologies of the Voltage Response methodologies, which helps in determining the R-C parameters. Moreover, the problem can be used for testing the novel genetic, evolutionary algorithms, where benchmarking is an actual challenge. The proposed nonlinear function fitting method uses the genetic algorithms via the Ārtap framework, which lets it possible to select the most accurate optimization algorithm from the provided list of the algorithms and achieve better fitting precision, faster calculation time or more powerful processing ability.

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Section: Introductionmentioning

confidence: 98%

Parameterization of Debye Model for Dielectrics Using Voltage Response Measurements and a Benchmark Problem

Mustafa

Németh

Afia

et al. 2021

Period. Polytech. Elec. Eng. Comp. Sci.

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“…Several researchers have investigated the behavior of power converters in case of an internal fault and have developed diagnostic and identification methods, focusing in particular on the open circuit failure of IGBT switch. In [6,7], the authors discuss new approaches based entirely on the artificial neural network (ANN) and the Clarke transformation as a detection tool for locating an interrupt fault of the IGBT switch in a three-phase inverter. In [8,9], new feature extraction approaches using three-phase load currents are proposed, in [9], the diagnostic method used is based on neural network (NN) that has learned from a database derived from the analysis of the three phase currents.…”

Section: Introductionmentioning

confidence: 99%

“…Applying the Clarke transformation on the system allows us to obtain the system of equation (3) [7]:…”

Section: Introductionmentioning

confidence: 99%

Fault diagnosis of power converters in a grid connected photovoltaic system using artificial neural networks

Mimouni

Laribi

Sebaa

et al. 2023

Electrical Engineering & Electromechanics

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Introduction. The widespread use of photovoltaic systems in various applications has spotlighted the pressing requirement for reliability, efficiency and continuity of service. The main impediment to a more effective implementation has been the reliability of the power converters. Indeed, the presence of faults in power converters that can cause malfunctions in the photovoltaic system, which can reduce its performance. Novelty. This paper presents a technique for diagnosing open circuit failures in the switches (IGBTs) of power converters (DC-DC converters and three-phase inverters) in a grid-connected photovoltaic system. Purpose. To ensure supply continuity, a fault-diagnosis process is required throughout all phases of energy production, transfer, and conversion. Methods. The diagnostic approach is based on artificial neural networks and the extraction of features corresponding to the open circuit fault of the IGBT switch. This approach is based on the Clarke transformation of the three-phase currents of the inverter output as well as the calculation of the average value of these currents to determine the exact angle of the open circuit fault. Results. This method is able to effectively identify and localize single or multiple open circuit faults of the DC-DC converter IGBT switch or the three-phase inverter IGBT switches.

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“…Also, it requires reference frame and PWM block modulation that make this method more complex. In the opposite, we find the direct control methods, such as DTC [7] and DPC [8][9][10]. Those methods are characterized by high performances, quick response drives and simplicity compared to FOC.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Direct Power Control Strategy of a DFIG-Based Wind Energy Conversion System Operating Under Random Conditions

Sahri

Tamalouzt

Lalouni

2021

Period. Polytech. Elec. Eng. Comp. Sci.

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The main objective of this paper is the performances analysis of an Enhanced Direct Power Control (EDPC), applied to Doubly Fed Induction Generator (DFIG) driven by variable speed Wind Turbine (WT). This control strategy uses hysteresis regulators and switching table for active and reactive powers control. These latter are estimated using rotor currents and grid voltages instead of a traditional measurement of stator currents. In addition, the EDPC switching table is based on the position of the rotor flux instead of the stator flux in order to have better regulation accuracy because the rotor voltage vector directly influences the rotor flux and has a proportional relationship with the active and reactive powers. All the operating modes (sub-synchronous, super-synchronous, synchronous and over-speed) of the variable speed WT-DFIG system and the possibility of local reactive power compensation are reported and discussed in this paper. Depending on the operating zone of the WT, Maximum Power Point Tracking (MPPT) technique and pitch angle control are considered to optimize the wind energy efficiency. The validation of the proposed EDPC strategy has been performed through simulation tests under MATALB/Simulink, the obtained results show robustness and good performances with low THD of the generated currents.

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Neural Network Based Fault Diagnosis of Three Phase Inverter Fed Vector Control Induction Motor

Cited by 12 publications

References 17 publications

Parameterization of Debye Model for Dielectrics Using Voltage Response Measurements and a Benchmark Problem

Parameterization of Debye Model for Dielectrics Using Voltage Response Measurements and a Benchmark Problem

Fault diagnosis of power converters in a grid connected photovoltaic system using artificial neural networks

Enhanced Direct Power Control Strategy of a DFIG-Based Wind Energy Conversion System Operating Under Random Conditions

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