A robust stator inter-turn fault detection in induction motor utilizing Kalman filter-based algorithm

Namdar, Ali; Samet, Haidar; Allahbakhshi, Mehdi; Tajdinian, Mohsen; Ghanbari, Teymoor

doi:10.1016/j.measurement.2021.110181

Cited by 32 publications

(15 citation statements)

References 29 publications

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“…In [8], deep network-based features of thermograms base on thermal images is used for fault detection of a real threephase RIM. Authors of [9] have used the Kalman Filter (KF) based algorithm, which extract the current and voltage signatures, for diagnosis of stator inter turn faults of RIMs.…”

Section: B Literature Reviewmentioning

confidence: 99%

“…With considering the literature of fault diagnosis methods, they could classified in three important parts as signal processing, machine learning, and artificial intelligent algorithms, which the first method is widely used in the fault detection of electrical machines. The recent signal processing methods such as acoustic signals analysis [4,10,11], the vector space decomposition approach [12], KF based approaches [9,13], various Fourier Transforms (FTs) [14][15][16], the HT [3,17], the Hilbert-Huang Transform (HHT) [18][19][20][21], space pattern recognition [22], various Wavelet Transforms (WT) [5,7,23] or combined methods [24][25][26], etc., the machine learning based approaches such as Random Forest (RF) algorithm [27], fuzzy-Bayesian [28], Support Vector Machine (SVM) [29], etc., and artificial intelligent algorithms such as Artificial Neural Network (ANN) methods [30,31] have been proposed and used in the RIM fault detection problems. The above researches are based on the methods that needs several tests and to verify the results, even though the method is robust.…”

Section: B Literature Reviewmentioning

confidence: 99%

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Fault Diagnosis of HTS–SLIM Based on 3D Finite Element Method and Hilbert–Huang Transform

2022

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The Linear Induction Motors (LIMs) are a novel structure of industrial motors, which have appeared in recent years. There are various models of optimal LIMs that help better performance. However, no research could be found about the behavior of these motors under the fault conditions. In this paper, a High-Temperature Superconducting Single-sided LIM (HTS-SLIM), with flat-solid secondary sheet is considered. Besides, a comprehensive review of novel and robustness fault diagnosis methods in electrical machines is carried out. To satisfy the paper aims, two mechanical and electrical failures, in forms of broken conductor sheet and short-circuit of coil are considered, respectively, and the dynamic model of the studied motor under short-circuit fault is proposed. The motor is modeled with 3D Finite Element Method (FEM), in order to consider the 3D effects of linear motors. Finally, the electromagnetic and mechanical behaviors of the considered machine are rendered under various conditions. The variation of various parameters are studied and their increament or decreament under faulty states are analyzed. In the next step, the Hilbert-Huang Transform (HHT) is employed to detect the features of the mentioned faults. The results and analysis show that the thrust and speed of motor have decreased under short circuit faults, and they have increased suddenly, when the primary cross over the broken secondary sheet about 600 % and 43 %, respectively. Besides, the flux density of all components under short circuit is reduced, while it increased under broken sheet fault and when these faults occur simultaneously.

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Section: B Literature Reviewmentioning

confidence: 99%

Section: B Literature Reviewmentioning

confidence: 99%

Fault Diagnosis of HTS–SLIM Based on 3D Finite Element Method and Hilbert–Huang Transform

2022

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“…From the nonlinear equations with five state variables: 𝑖 𝑆𝛼 , 𝑖 𝑆𝛽 , 𝜓 𝑅𝛼 , 𝜓 𝑅𝛽 , 𝜔 0 [26], [27], to be able to use the EKF recursively, They need to be transformed from the continuous state equations of the motor into a discrete form, and for each small cycle, these equations are considered linear. Then they are added into the system noise 𝑊 and the measured noise 𝑉, so the EKF algorithm shown below [14]- [16] can be applied.…”

Section: Using Ekf To Estimate the Speed Of Immentioning

confidence: 99%

Comparison of the speedy estimate methods of the induction motors

Tran

Brandštetter

et al. 2022

TELKOMNIKA

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This paper deals with a novel method to achieve the effective performance of the extended Kalman filter (EKF) for the speedy estimate of an induction motor. The real coding genetic algorithm (GA) is used to optimize the components of the covariance matrix in the EKF, thus ensuring the stability and accuracy of the filter in the speed estimation. The advantage of the proposed method is less dependent on the parameters of the induction motor. The content includes the vector control model for induction motor, the speed estimation by modeling the reference frame-model reference adaptive system (RF-MRAS), the current based-model reference adaptive system (CB-MRAS), and the speed estimation with the EKF optimized by genetic algorithm. Simulative studies on the field-oriented controller (FOC) with different operating conditions are performed in Matlab Simulink when the rotor resistance changes in the current speed estimation methods. The simulation results demonstrate the efficiency of the proposed GA-EKF filter compared with other speed estimation methods of induction motors.

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“…To perform the diagnosis, the multiple signal classification (MUSIC) is implemented in an algorithm that can generate a pseudo-spectrum of the current signal. On one hand, the investigation developed by [14] presents an algorithm based on the Kalman filter (KF) for the stator inter-turn fault detection of induction motors. Thus, the KF is applied to extract the motor current signatures and motor voltage signatures; these signatures are later used for determining statistical fault indexes based on the standard deviation.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Effects Produced by Pure Sine and Modified Sine Inverters in an Induction Motor

Jaen-Cuéllar¹,

Elvira-Ortiz²,

Resendiz-Ochoa³

et al. 2023

New Trends in Electric Machines - Technology and Applications

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Most of the industrial applications are supported by complex machinery, which in turn are supported by electrical motors to perform specific tasks in multiple processes. Certainly, induction motors are the most widely used electrical machines in a majority of industrial machineries; in this sense, their operating condition plays an important role to ensure the machinery availability and to avoid unwanted stoppages. On the other hand, several sources may lead to producing faults in induction motors, but most of the common faults are produced by electrical or mechanical stresses, where the mechanical stresses are usually produced by unbalances or misalignments and the electrical stresses are generated by fluctuations or variations in the power supply. Thereby, when the induction motors are fed through inverters due to renewable energy, their operation may present slight variations since the sine wave has no perfect generation. In this regard, this work presents an analysis of the effects produced by pure sine and modified sine inverters in an induction motor. Such analysis consists of studying the characteristic patterns, reflected as percentage variations in some metrics, such as ranges, rms values, and harmonic distortion, that induction motors produce over vibration signals, electrical signals (stator current and fed voltages), and rotating speed.

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A robust stator inter-turn fault detection in induction motor utilizing Kalman filter-based algorithm

Cited by 32 publications

References 29 publications

Fault Diagnosis of HTS–SLIM Based on 3D Finite Element Method and Hilbert–Huang Transform

Fault Diagnosis of HTS–SLIM Based on 3D Finite Element Method and Hilbert–Huang Transform

Comparison of the speedy estimate methods of the induction motors

Analysis of the Effects Produced by Pure Sine and Modified Sine Inverters in an Induction Motor

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