An Efficient Stator Inter-Turn Fault Diagnosis Tool for Induction Motors

Maraaba, Luqman S.; Al-Hamouz, Z.; Abido, M. A.

doi:10.3390/en11030653

Cited by 70 publications

(46 citation statements)

References 50 publications

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“…Considering the possible interference to synchronous generator, this method is difficult to apply in practice. Maraaba et al [9] proposed the use of neural networks as an efficient diagnostic tool for estimating the percentage of stator winding shorted turns in three-phase induction motors. However, this method needs more fault motor operation data to support and train.…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of Inter-Turn Short Circuit of Synchronous Generator Rotor Winding Based on Volterra Kernel Identification

Wang¹,

Li²,

Li³

2018

Energies

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The inter-turn short circuit is a common fault in the synchronous generator. This fault is not easily detected at early stage. However, with the development of the fault, it will pose a threat to the safe operation of the generator. To detect the inter-turn short circuit of rotor winding, the feasibility of identifying the stator branch characteristics of synchronous generator during inter-turn short circuit was analyzed. In this paper, an on-line fault identification method based on Volterra kernel identification is presented. This method uses the stator branch voltage and stator unbalance branch current collected from the generator as input and output signals of the series model. Recursive batch least squares method is applied to calculate the three kernels of Volterra series. When the generator is in normal state or fault state, the Volterra kernel will change accordingly. Through the identification of the time-domain kernel of the nonlinear transfer model, the inter-turn short circuit fault of the synchronous generator is diagnosed. The correctness and effectiveness of this method is verified by using the data of fault experimental synchronous generator.

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Section: Introductionmentioning

confidence: 99%

Diagnosis of Inter-Turn Short Circuit of Synchronous Generator Rotor Winding Based on Volterra Kernel Identification

Wang¹,

Li²,

Li³

2018

Energies

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“…However, the algorithm became too complex due to the complex circuit and needed to be simplified. Machine learning is a method later used for diagnosis with the recent development of artificial intelligence (AI) technology [18,23,30,37,[55][56][57][58][59]. AI-based methods are divided into feature extraction, fault identification, and fault severity evaluation.…”

Section: Introductionmentioning

confidence: 99%

Linear Method for Diagnosis of Inter-Turn Short Circuits in 3-Phase Induction Motors

Goh

Kim²

2019

Applied Sciences

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When a turn-to-turn short fault occurs in an induction motor, it will be accompanied by vibration and heating, which will have adverse effects on the entire power system. Thus, turn-to-turn short fault diagnosis of the stator is required, and major accidents can be prevented if an inter-turn short circuit (ITSC), which is the early stage of a turn-to-turn short, can be detected. This study reinterprets Park’s vector approach using Direct-Quadrature(D-Q) transformation for the linear separation of ITSCs and proposes an ITSC diagnosis method by defining the magnetic flux linkage pulsation and current change in the event of a turn-to-turn short. It is difficult to diagnose because the turn-to-turn short current change in an ITSC is considerably different from the induction motor loss. Hence, it was found through analysis that when the current change is considered through an analysis of the relationship between inductance and the winding number, the ITSC current becomes slightly smaller than the steady-state current. This was verified using the D-Q synchronous reference frame over time. We proposed a linear separation of the ITSC diagnosis from the steady state by considering the minimum values of the pulsating current as feature points.

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“…Many studies have focused on the incipient detection of ITSCs [10,11,14] for open-loop control schemes [15][16][17][18], as well as for closed-loop vector control structures of the IM. Field-oriented control (FOC) [19][20][21][22], direct torque control with switching table (DTC-ST) [23,24], and direct torque control with space-vector modulation (DTC-SVM) [21] structures have been considered.…”

Section: Introductionmentioning

confidence: 99%

Modified Rotor Flux Estimators for Stator-Fault-Tolerant Vector Controlled Induction Motor Drives

Dybkowski

Bednarz

2019

Energies

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This paper deals with fault-tolerant control (FTC) of an induction motor (IM) drive. An inter-turn short circuit (ITSC) of the stator windings was taken into consideration, which is one of the most common internal faults of induction machines. The sensitivity of the classic, well-known voltage and current models to the stator winding faults was analyzed. It has been shown that these classical state variable estimators are sensitive to induction motor parameter changes during stator winding failure, which results in unstable operation of the direct field-oriented control (DFOC) drive. From a safety-critical applications point of view, it is vital to guarantee stable operation of the drive even during faults of the machine. Therefore, a new FTC system has been proposed, which consists of new modified rotor flux estimators, robust to stator winding faults. A detailed description of the proposed system is presented herein, as well as the results of simulation and experimental tests. Simulation analyses were performed using MATLAB/Simulink software. Experimental tests were carried out on the experimental test bench with a dSpace DS1103 card. The proposed solution could be applied as an alternative rotor flux estimation technique for the modern FTC drive.

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An Efficient Stator Inter-Turn Fault Diagnosis Tool for Induction Motors

Cited by 70 publications

References 50 publications

Diagnosis of Inter-Turn Short Circuit of Synchronous Generator Rotor Winding Based on Volterra Kernel Identification

Diagnosis of Inter-Turn Short Circuit of Synchronous Generator Rotor Winding Based on Volterra Kernel Identification

Linear Method for Diagnosis of Inter-Turn Short Circuits in 3-Phase Induction Motors

Modified Rotor Flux Estimators for Stator-Fault-Tolerant Vector Controlled Induction Motor Drives

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